{"id":50827,"date":"2026-05-25T01:18:13","date_gmt":"2026-05-25T01:18:13","guid":{"rendered":"https:\/\/employmenthero.com\/uk\/?p=50827"},"modified":"2026-05-25T01:18:15","modified_gmt":"2026-05-25T01:18:15","slug":"using-ai-in-hr-2","status":"publish","type":"post","link":"https:\/\/employmenthero.com\/uk\/blog\/using-ai-in-hr-2\/","title":{"rendered":"AI in Hiring: Benefits, Bias Risks and How to Get It Right"},"content":{"rendered":"\n<div class=\"wp-block-group alignfull blog-template-header has-neutral-100-background-color has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"padding-bottom:var(--wp--preset--spacing--16)\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\"><div style=\"--bb--crumb-gap:.4em;\" class=\"blog-template-breadcrumb wp-block-employmentherocom2025-breadcrumb-block\"><nav role=\"navigation\" aria-label=\"Breadcrumbs\" class=\"breadcrumb\"><ol 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9.44693666,8.24224316 C8.94677511,7.81302264 8.20254916,7.8816073 7.78481199,8.39527139\" id=\"Fill-4\" fill=\"#000000\" mask=\"url(#mask-4)\"><\/path> <\/g> <\/g> <\/g> <\/g> <\/svg> \n    <\/span>\n            <span class=\"eh-social-sharing-button__copied_text\">\n            URL copied for sharing!        <\/span>\n    <\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group has-global-padding is-content-justification-left is-layout-constrained wp-container-core-group-is-layout-5 wp-block-group-is-layout-constrained\"><h1 class=\"blog-template-title wp-block-post-title\">AI in Hiring: Benefits, Bias Risks and How to Get It Right<\/h1><\/div>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flex wp-container-core-group-is-layout-7 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group blog-template-meta-row is-layout-flex wp-container-core-group-is-layout-6 wp-block-group-is-layout-flex\">\n<p class=\"wp-block-employmentherocom2025-custom-post-date has-sm-font-size\">\n    <span>Published<\/span>&nbsp;<time datetime=\"2026-05-25T01:18:13+00:00\">May 25, 2026<\/time>\n<\/p>\n\n\n<p class=\"has-sm-font-size\" style=\"border-left-color:var(--wp--preset--color--neutral-700);border-left-width:1px;padding-left:var(--wp--preset--spacing--2)\"><\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignfull blog-image-container has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image aligncenter size-full is-resized blog-template-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"900\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring.webp\" alt=\"Two people sit on a gray sofa with laptops, engaged in conversation. A coffee cup and notebook are on a table, suggesting a collaborative work setting.\" class=\"wp-image-50829\" style=\"object-fit:cover;width:864px;height:561px\" srcset=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring.webp 1600w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring-300x169.webp 300w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring-1024x576.webp 1024w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring-768x432.webp 768w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring-1536x864.webp 1536w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/Ai-in-hiring-440x248.webp 440w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><\/figure>\n<\/div>\n\n\n\n<div style=\"height:66px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:30%\">\n<div class=\"wp-block-group sticky-side-panel is-vertical is-content-justification-stretch is-layout-flex wp-container-core-group-is-layout-11 wp-block-group-is-layout-flex wp-container-2 is-position-sticky\">\n<p class=\"has-lg-font-size\" style=\"border-bottom-color:var(--wp--preset--color--neutral-200);border-bottom-width:0.1rem;padding-top:var(--wp--preset--spacing--4);padding-bottom:var(--wp--preset--spacing--4)\"><strong>Contents<\/strong><\/p>\n\n\n\n<div class=\"content-single-table-content\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:70%\">\n<div id=\"content-wrapper\" class=\"wp-block-group content-wrapper has-global-padding is-layout-constrained wp-container-core-group-is-layout-12 wp-block-group-is-layout-constrained\" style=\"padding-bottom:var(--wp--preset--spacing--4)\">\n<p>AI is reshaping how companies find and hire people. It can screen hundreds of applications overnight, schedule interviews without a single email chain and surface candidates a recruiter might never have found manually. For businesses dealing with high-volume hiring or stretched HR teams, that efficiency is genuinely valuable.<\/p>\n\n\n\n<p>But AI in hiring also carries real risks. When the tools you use to make decisions about people are trained on biased data, or designed without adequate oversight, they can screen out qualified candidates based on factors that have nothing to do with the job. And in the UK, the employer is legally responsible for the outcome, not the software vendor.<\/p>\n\n\n\n<p>Here, we explain how AI is used across recruitment, where bias enters the process, what the evidence says and what you can do about it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">What is AI in hiring?<\/h2>\n\n\n\n<p>AI in hiring refers to the use of machine learning, natural language processing and data-driven algorithms to automate or support decisions across the recruitment process. It&#8217;s not a single tool. It&#8217;s a category of technology that shows up at almost every stage, from the moment a job description is written to the moment an offer is made. For a deeper look at how it&#8217;s being applied today, see our guide to <a href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-in-recruitment\/\">AI in recruitment<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">How AI is used across the hiring process<\/h3>\n\n\n\n<p>Here&#8217;s where AI typically gets applied:<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-checkmark\">\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Job description writing:<\/strong> AI tools suggest language, flag gendered terms and help write descriptions optimised for search visibility and candidate response rates.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Candidate sourcing:<\/strong> AI searches job boards, CV databases and professional networks to build candidate lists based on skills, experience and profile signals.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Resume screening:<\/strong> Algorithms rank and filter applications against defined criteria, often before a human sees a single CV.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Interview scheduling:<\/strong> Automated tools manage calendars, send invites and eliminate the back-and-forth that slows down coordination.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Video interviews and assessments:<\/strong> Some tools record video responses and use AI to score candidates on verbal and non-verbal cues, including tone, word choice and in some cases facial expression.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Final-stage decision support:<\/strong> AI can flag high-potential candidates, predict performance based on historical data, or generate scoring summaries for hiring managers.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Why employers are adopting AI in hiring<\/h3>\n\n\n\n<p>The pull towards AI in recruitment comes down to three things: volume, cost and speed. Hiring teams are dealing with more applicants than ever and the manual work involved in screening, scheduling and coordinating interviews doesn&#8217;t scale well.<\/p>\n\n\n\n<p>The pressure is real. According to 91爆料&#8217;s own research, 3 in 4 business leaders say recruitment is a challenge and 95% of SMEs report challenges managing employment and HR processes, with recruitment ranking as the single most common pain point. Against that backdrop, AI&#8217;s appeal is understandable.<\/p>\n\n\n\n<p>According to the World Economic Forum, <a href=\"https:\/\/www.weforum.org\/stories\/2025\/03\/ai-hiring-human-touch-recruitment\/\" target=\"_blank\" rel=\"noreferrer noopener\">88% of companies now use AI for initial candidate screening<\/a>. A <a href=\"https:\/\/boterview.com\/a\/ai-recruitment-statistics\" target=\"_blank\" rel=\"noreferrer noopener\">2026 Boterview report<\/a> put overall AI adoption in recruitment at 87%. For businesses under pressure to hire quickly and control costs, these tools offer a clear efficiency case.<\/p>\n\n\n\n<p>That case is real. But it doesn&#8217;t tell the full story.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">The benefits of using AI in hiring<\/h2>\n\n\n\n<p>Used well, AI recruitment tools can genuinely improve the hiring process for both employers and candidates.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Faster screening and shortlisting<\/h3>\n\n\n\n<p>Manual CV screening is slow. A recruiter reading 200 applications for a single role can spend hours on a task that AI completes in minutes. For high-volume roles, this time saving is significant. Some estimates put speed-to-hire improvements as high as 75% when AI screening is introduced, though results vary significantly by context and role type. The upside for HR teams is clear: less time on admin means more time for the conversations that actually require human judgment.<\/p>\n\n\n\n<p>There&#8217;s also an accuracy argument. 91爆料 research found that 6 in 10 UK businesses have had issues making the wrong hiring decision. Faster screening only delivers value if it also helps identify the right people, not just more people. See how <a href=\"https:\/\/employmenthero.com\/uk\/blog\/solve-applicant-overload-with-ai-recruitment\/\">91爆料 tackles applicant overload with AI recruitment<\/a> to understand what that looks like in practice.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">More consistent candidate evaluation<\/h3>\n\n\n\n<p>Human reviewers are inconsistent. The same CV reviewed by different people can receive very different assessments, depending on the reviewer&#8217;s mood, workload, familiarity with the role, or unconscious preferences. AI applies the same criteria to every application in the same way. In theory, that consistency can reduce the variability that allows individual bias to creep in at the screening stage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Improved candidate experience<\/h3>\n\n\n\n<p>The scale of candidate frustration with current hiring processes is significant. 91爆料 research found that 8 in 10 UK workers have applied for a job and heard nothing back and 54% say that applying and receiving no response is the single most frustrating part of job searching. More broadly, 6 in 10 say the hiring process actively discourages them from looking for new roles.<\/p>\n\n\n\n<p>AI tools can meaningfully address this. Automated acknowledgement emails, status updates and 24\/7 self-service scheduling create a more responsive experience without adding to recruiter workload. When candidates know where they stand, they&#8217;re more likely to stay engaged with the process. For more on keeping candidates engaged throughout hiring, see our <a href=\"https:\/\/employmenthero.com\/uk\/blog\/candidate-engagement-strategies\/\">candidate engagement strategies guide<\/a>.<\/p>\n\n\n\n<p>To see how AI-powered hiring tools can improve your recruitment process, take a look at <a href=\"https:\/\/employmenthero.com\/uk\/products\/find-candidates\/\">91爆料&#8217;s recruitment solutions<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">What is AI bias in hiring?<\/h2>\n\n\n\n<p>AI bias in hiring is what happens when an algorithm produces systematically unfair outcomes for certain groups of candidates. It&#8217;s not usually the result of someone programming discrimination into a system. It happens because AI learns from data and that data reflects the world as it was, not as it should be.<\/p>\n\n\n\n<p>When a model is trained on historical hiring records, it learns what past successful hires looked like. If those records reflect decades of underrepresentation, the model will reproduce that underrepresentation. It&#8217;s not making a moral judgment. It&#8217;s doing exactly what it was designed to do: spot patterns and replicate them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Where does AI bias in hiring come from?<\/h3>\n\n\n\n<p>There are several root causes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Biased training data.<\/strong> If an algorithm learns from the hiring decisions of the last decade, it inherits all the bias embedded in those decisions. Historical underrepresentation of women in tech, or Black candidates in senior roles, gets encoded as a signal about what good candidates look like. This is closely related to the problem of <a href=\"https:\/\/employmenthero.com\/uk\/blog\/unconscious-bias-in-recruitment\/\">unconscious bias in recruitment<\/a>, which shapes hiring outcomes long before AI enters the picture.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Biased algorithm design.<\/strong> Even when training data is cleaned up, the choice of what variables to include or exclude can introduce bias. Proxies like postcode, name, or university attended can correlate strongly with protected characteristics.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Feedback loops.<\/strong> When AI systems learn continuously from outcomes, they can reinforce their own bias. If the model already tends to favour certain candidates and those candidates get hired, the model interprets that as confirmation it was right.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Real-world examples of AI bias in hiring algorithms<\/h3>\n\n\n\n<p>The risks here aren&#8217;t theoretical. They&#8217;ve already caused real harm.<\/p>\n\n\n\n<p><strong>Amazon, 2014-2017:<\/strong> Amazon built an internal AI tool to score and rank job applicants. By 2015, the team discovered it was systematically discriminating against women. The model had been trained on CVs submitted to Amazon over the previous decade, most of which came from men. It learned that male candidates were preferable. It penalised CVs that included the word &#8220;women&#8217;s,&#8221; downgraded graduates of all-women&#8217;s colleges and favoured masculine-coded language. Amazon scrapped the project in early 2017.<\/p>\n\n\n\n<p><strong>HireVue&#8217;s facial analysis controversy:<\/strong> HireVue&#8217;s video interview platform used AI to assess candidates&#8217; cognitive ability, emotional intelligence and psychological traits from recorded interviews, analysing facial expressions, speech patterns and word choice. Privacy advocates, civil rights groups and AI researchers challenged the scientific basis for these claims and raised specific concerns about lower accuracy for darker skin tones, as well as disadvantage for non-native speakers, neurodivergent people and candidates with disabilities. In January 2021, HireVue announced it would discontinue facial analysis, acknowledging the technology &#8220;wasn&#8217;t worth the concern.&#8221; In March 2025, the ACLU filed a complaint against Intuit and HireVue after an Indigenous deaf applicant was automatically rejected following an AI interview.<\/p>\n\n\n\n<p>These cases illustrate why AI tools that appear objective can still produce discriminatory outcomes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Gender and racial bias in AI hiring tools<\/h3>\n\n\n\n<p>The academic evidence on this is substantial and growing. <a href=\"https:\/\/academic.oup.com\/pnasnexus\/article\/4\/3\/pgaf089\/8071848\" target=\"_blank\" rel=\"noreferrer noopener\">A 2025 peer-reviewed study<\/a> published in PNAS Nexus by researchers at the University of Hong Kong and the Chinese Academy of Sciences tested five large language models, including GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Flash and Llama 3-70B, across approximately 361,000 fictitious CVs. Only names were varied to signal gender and race.<\/p>\n\n\n\n<p>Every single model awarded higher scores to female candidates regardless of race, while most penalised Black male candidates compared to identical white male candidates. The bias was consistent across all five models, from four different AI companies, suggesting the problem is embedded in how these systems are trained broadly rather than being the result of any single vendor&#8217;s decisions.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.washington.edu\/populationhealth\/2024\/12\/12\/uw-research-finds-racial-and-gender-bias-in-ai-tools-ranking-job-applicants-names\/\" target=\"_blank\" rel=\"noreferrer noopener\">A separate University of Washington study <\/a>found that AI resume screeners preferred white-associated names 85.1% of the time and Black-associated names only 9% of the time.<\/p>\n\n\n\n<p>The VoxDev summary of the PNAS research flags a specific <a href=\"https:\/\/voxdev.org\/topic\/technology-innovation\/ai-hiring-tools-exhibit-complex-gender-and-racial-biases\" target=\"_blank\" rel=\"noreferrer noopener\">concern about intersectionality<\/a>: bias doesn&#8217;t operate neatly along single dimensions. Candidates from overlapping minority groups face compounded disadvantage that single-axis regulatory frameworks aren&#8217;t designed to catch.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">AI bias in the hiring process: Where does it show up?<\/h2>\n\n\n\n<p>Bias doesn&#8217;t sit in one place. It can enter at every stage of the recruitment funnel.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Bias in resume screening and candidate ranking<\/h3>\n\n\n\n<p>This is where AI bias has the most documented impact. When screening algorithms are trained on the characteristics of past successful hires, they systematically favour candidates who resemble those hires and screen out equally qualified people who don&#8217;t fit the pattern. The algorithm isn&#8217;t asking whether a candidate can do the job. It&#8217;s asking whether they look like someone who has done a similar job before and that&#8217;s a very different question.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Bias in job descriptions and candidate targeting<\/h3>\n\n\n\n<p>The bias can start before a single application arrives. AI tools that write or optimise job descriptions can introduce gendered language, favoured by the models based on which job ads historically attracted the most engagement. Similarly, programmatic job ad targeting can use demographic signals to reach particular audiences, narrowing the candidate pool before hiring has even begun. <a href=\"https:\/\/www.bsr.org\/en\/emerging-issues\/ai-in-hiring\" target=\"_blank\" rel=\"noreferrer noopener\">BSR&#8217;s research on AI in hiring<\/a> found that these tools can perpetuate bias &#8220;in surprising and insidious ways&#8221; precisely because employers often don&#8217;t know where the filtering is happening. Reviewing your <a href=\"https:\/\/employmenthero.com\/uk\/blog\/ethical-recruitment-principles-and-best-practices\/\">ethical recruitment principles<\/a> is a good starting point for identifying where your own process may be vulnerable.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-heading-3-l-font-size\">Bias in video interview and assessment tools<\/h3>\n\n\n\n<p>Facial expression analysis and speech pattern scoring tools raise particular concerns. They can disadvantage candidates with accents outside the model&#8217;s training data, neurodivergent candidates who communicate differently, or candidates with speech-related disabilities. When a tool scores confidence or warmth based on facial movement, it may simply be measuring how well a candidate&#8217;s presentation style matches the model&#8217;s idea of what confidence looks like, which is itself a culturally specific construct.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">Can AI reduce bias in hiring?<\/h2>\n\n\n\n<p>It&#8217;s a fair question and the honest answer is: sometimes, but not by default.<\/p>\n\n\n\n<p>There are genuine scenarios where removing subjective human judgment from early-stage screening can produce fairer outcomes. If a hiring manager&#8217;s unconscious preferences are causing consistent variability in how CVs are assessed, a well-designed algorithm applying consistent criteria could reduce that variability. Structured, criteria-based evaluation applied uniformly is a proven principle of fair assessment.<\/p>\n\n\n\n<p>But &#8220;objective&#8221; and &#8220;fair&#8221; are not the same thing. An algorithm that applies the same criteria to every candidate is objective. Whether those criteria are themselves fair is a separate question entirely. As the BSR points out, an AI tool &#8220;marketed as objective is not the same as a tool that is fair.&#8221;<\/p>\n\n\n\n<p><a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2416228122#:~:text=Significance,beliefs%20yet%20exhibit%20subtle%20biases.\" target=\"_blank\" rel=\"noreferrer noopener\">The PNAS Nexus research<\/a> found that the AI models tested appeared to have overcorrected for some biases while introducing others. Attempts to reduce gender bias in one direction created new patterns of disadvantage along racial lines. Bias doesn&#8217;t disappear when it&#8217;s addressed in isolation; it shifts.<\/p>\n\n\n\n<p>The conclusion that follows is practical: AI can assist in reducing certain forms of human bias at specific points in the process, but it doesn&#8217;t eliminate bias overall. Human review remains essential at every key decision point. AI should inform hiring decisions, not make them.<\/p>\n\n\n\n<p>To explore how AI-enhanced HR can work with human oversight built in, see <a href=\"https:\/\/employmenthero.com\/uk\/solutions\/ai-enhanced-hr\/\">91爆料&#8217;s AI-enhanced HR solutions<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">How to reduce AI bias in your hiring process<\/h2>\n\n\n\n<p>Here are practical steps to audit and reduce your bias risk:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Audit every tool you use.<\/strong> That includes third-party tools your vendor uses. Ask each provider how their model was trained, what data it was trained on and what bias testing they&#8217;ve carried out. If they can&#8217;t answer those questions, treat that as a red flag.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Conduct a pre-deployment review.<\/strong> Before rolling out any new AI hiring tool, run an ethics and impact assessment. The UK government&#8217;s <a href=\"https:\/\/www.gov.uk\/government\/publications\/responsible-ai-in-recruitment-guide\" target=\"_blank\" rel=\"noreferrer noopener\">Responsible AI in Recruitment guide<\/a> (published March 2024) sets out a framework for doing this.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Test outcomes across protected groups.<\/strong> Look at the outputs of your AI tools across gender, race, age and disability. If any group is being screened out at a significantly higher rate, investigate before assuming the algorithm is working correctly.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Keep humans in key decisions.<\/strong> AI should be a filter and an assistant, not a decision-maker. Ensure a human reviews AI-generated shortlists and that candidates flagged for rejection by AI are genuinely assessed, not just passed through. Our guide on <a href=\"https:\/\/employmenthero.com\/uk\/blog\/right-person-to-hire\/\">how to hire the right person<\/a> covers how to build hiring manager accountability into your process.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Tell candidates when AI is being used.<\/strong> Transparency isn&#8217;t just good ethics, it&#8217;s increasingly a regulatory expectation. Candidates should know if they&#8217;re being assessed by an algorithm and should have access to a human review process.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Revisit and retest regularly.<\/strong> Bias in AI systems can evolve, particularly if models learn continuously from new data. Schedule regular bias audits rather than treating initial testing as a one-off exercise. This is necessary even if the model is not continuously learning, as changes in the job market, applicant demographics, or the job role itself can lead to Model Drift or Concept Drift, causing a once-fair system to become discriminatory over time.<\/li>\n\n\n\n<li style=\"margin-bottom:var(--wp--preset--spacing--1-5)\"><strong>Check for Algorithmic Mitigation Techniques.<\/strong> Ask vendors what technical debiasing techniques are being applied. These can include pre-processing (adjusting training data), in-processing (modifying the model during training), or post-processing (adjusting the final output scores). Ensure technical mitigation complements human oversight.<\/li>\n<\/ol>\n\n\n\n<p>For more on how AI is reshaping the world of work, see our guide to <a href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-work-guide\/\">AI in the workplace<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">AI in hiring and the law: What employers need to know<\/h2>\n\n\n\n<p>Using an AI tool doesn&#8217;t transfer your legal responsibility to the tool&#8217;s vendor. If your hiring process produces discriminatory outcomes, you carry the liability.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.legislation.gov.uk\/ukpga\/2010\/15\/contents\" target=\"_blank\" rel=\"noreferrer noopener\">The Equality Act 2010<\/a> prohibits discrimination on the basis of nine protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation. Critically, intent doesn&#8217;t matter. Indirect discrimination, where a practice appears neutral but produces a disproportionate disadvantage for a protected group, is still unlawful. An algorithm that screens out women at a higher rate than men is creating indirect sex discrimination, regardless of whether anyone intended that outcome.<\/p>\n\n\n\n<p><a href=\"https:\/\/ico.org.uk\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Information Commissioner&#8217;s Office<\/a> published audit findings from reviews of AI recruitment tool providers and issued 296 recommendations and 42 advisory notes. Auditors found some tools were allowing recruiters to filter candidates based on protected characteristics, that providers were failing to treat inferred demographic data as special category data under UK GDPR and that vast candidate databases were being built through social media scraping without adequate consent. Before using any AI recruitment product, the ICO says employers should confirm the provider has completed a Data Protection Impact Assessment and that candidates are informed AI is being used to evaluate them. If you&#8217;re unsure how UK GDPR applies to the personal data you collect during recruitment, our <a href=\"https:\/\/employmenthero.com\/uk\/blog\/gdpr-payroll\/\">GDPR compliance guide<\/a> covers the core principles.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.equalityhumanrights.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Equality and Human Rights Commission<\/a> confirmed in April 2024 that AI in recruitment is one of its key focus areas and that AI poses risks of breaching both the Equality Act 2010 and the Human Rights Act 1998.<\/p>\n\n\n\n<p>The UK has no single AI law yet. The current approach uses sector regulators applying a principles-based framework. But legislation is coming. A UK AI Bill was announced in late 2024 and the ICO is preparing updated recruitment-specific guidance. The direction of travel is clear: the regulatory environment for AI in hiring is tightening.<\/p>\n\n\n\n<p>For comparison, in the US, the EEOC settled its first AI hiring discrimination case in 2023, with iTutorGroup paying $365,000 after its software automatically rejected women over 55 and men over 60. In May 2025, a US federal court certified the first AI bias class action against Workday. These cases are a signal of where UK enforcement is likely to move. For a clearer picture of what employment tribunal proceedings can cost a UK employer, see our breakdown of <a href=\"https:\/\/employmenthero.com\/uk\/blog\/employment-tribunal-cost\/\">employment tribunal costs<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-heading-2-xl-font-size\">AI-powered hiring, built responsibly<\/h2>\n\n\n\n<p>AI in hiring works best when it&#8217;s built responsibly. 91爆料&#8217;s AI is designed to help you hire smarter and faster, cutting through admin and surfacing the right candidates, without replacing the human judgment that fair hiring depends on. If you want to see what that looks like in practice, <a href=\"https:\/\/employmenthero.com\/uk\/ai\/\">explore 91爆料&#8217;s AI<\/a>.<\/p>\n\n\n\n<style>\r\n\r\n.custom-table {\r\n  display: block;\r\n  overflow-x: auto;\r\n}\r\n\r\n.custom-table table tr:first-child th,\r\n.custom-table table tr:first-child td {\r\n  border: 1px solid #000 !important;\r\n  background-color: #7623d7 !important; \r\n color: #ffffff !important;\r\n  text-align: left;\r\n  padding: 10px;\r\n}\r\n\r\n#content-wrapper a,\r\n#content-wrapper p:not(.disclaimer),\r\n#content-wrapper ol,\r\n#content-wrapper ul {\r\n  font-size: var(--wp--preset--font-size--paragraph-2-m) !important;\r\n}\r\n\r\n.content-wrapper li > ul li {padding-bottom:0.75rem!important;}\r\n.content-wrapper li:last-child > ul li {padding-bottom:0!important;}\r\n.eh-faq__container {flex-direction:column!important;}\r\n@media screen and (min-width: 1441px) {\r\n    .eh-faq__content {\r\n       max-width: 904px!important;\r\n        min-width: 715px!important;\r\n    }\r\n}\r\n.eh-faq {padding:0px 0px 24px 0px!important;}\r\n\r\n\r\n<\/style>\n\n\n\n<div class=\"wp-block-employmentherocom2025-faq eh-faq eh-faq__bg-light\"><div class=\"eh-faq__container\"><div class=\"eh-faq__header\"><h2 class=\"eh-faq__title\">Frequently Asked Questions about AI in hiring<\/h2><p class=\"eh-faq__subtitle\"><\/p><\/div><div class=\"eh-faq__content\">\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1777977648044\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1777977648044\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">Does AI make hiring fairer or less fair?<\/h3><span class=\"eh-simple-accordion__icon\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M10.3966 3.60341C10.3966 2.71788 11.1145 2 12 2C12.8855 2 13.6034 2.71788 13.6034 3.60341V10.3966H20.3966C21.2822 10.3966 22 11.1145 22 12C22 12.8856 21.2822 13.6034 20.3966 13.6034H13.6034V20.3966C13.6034 21.2822 12.8855 22 12 22C11.1145 22 10.3966 21.2822 10.3966 20.3966V13.6034H3.6034C2.71786 13.6034 2 12.8856 2 12C2 11.1145 2.71786 10.3966 3.6034 10.3966H10.3966V3.60341Z\" fill=\"currentColor\"><\/path><\/svg><\/span><\/label><div class=\"eh-simple-accordion__content\"><div class=\"eh-simple-accordion__inner\">\n<p>Both, depending on how it&#8217;s built and how it&#8217;s used. AI can reduce some forms of individual human bias by applying consistent criteria. But it can also reproduce and amplify structural bias at scale if trained on historically skewed data. The answer depends entirely on whether the employer using it is actively testing for bias, maintaining human oversight and treating fairness as an ongoing concern rather than a box to tick at procurement.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1777977673645\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1777977673645\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">Can I be held legally responsible for bias in an AI hiring tool I didn&#8217;t build?<\/h3><span class=\"eh-simple-accordion__icon\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M10.3966 3.60341C10.3966 2.71788 11.1145 2 12 2C12.8855 2 13.6034 2.71788 13.6034 3.60341V10.3966H20.3966C21.2822 10.3966 22 11.1145 22 12C22 12.8856 21.2822 13.6034 20.3966 13.6034H13.6034V20.3966C13.6034 21.2822 12.8855 22 12 22C11.1145 22 10.3966 21.2822 10.3966 20.3966V13.6034H3.6034C2.71786 13.6034 2 12.8856 2 12C2 11.1145 2.71786 10.3966 3.6034 10.3966H10.3966V3.60341Z\" fill=\"currentColor\"><\/path><\/svg><\/span><\/label><div class=\"eh-simple-accordion__content\"><div class=\"eh-simple-accordion__inner\">\n<p>Yes. Under the Equality Act 2010, responsibility rests with the employer, not the software vendor. If your recruitment process produces discriminatory outcomes, you are liable for those outcomes whether a human or an algorithm produced them. The EEOC&#8217;s 2023 settlement with iTutorGroup and the 2025 Workday class action in the US are instructive: courts and regulators are firmly rejecting the idea that outsourcing a decision to software insulates an employer from discrimination law. Our<a href=\"https:\/\/employmenthero.com\/uk\/blog\/navigating-employment-rights-faqs\/\"> employment rights FAQ<\/a> covers employer duties under current UK law, including the positive duty to proactively prevent discrimination.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1777977682239\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1777977682239\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">How do I know if an AI recruitment tool is biased?<\/h3><span class=\"eh-simple-accordion__icon\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M10.3966 3.60341C10.3966 2.71788 11.1145 2 12 2C12.8855 2 13.6034 2.71788 13.6034 3.60341V10.3966H20.3966C21.2822 10.3966 22 11.1145 22 12C22 12.8856 21.2822 13.6034 20.3966 13.6034H13.6034V20.3966C13.6034 21.2822 12.8855 22 12 22C11.1145 22 10.3966 21.2822 10.3966 20.3966V13.6034H3.6034C2.71786 13.6034 2 12.8856 2 12C2 11.1145 2.71786 10.3966 3.6034 10.3966H10.3966V3.60341Z\" fill=\"currentColor\"><\/path><\/svg><\/span><\/label><div class=\"eh-simple-accordion__content\"><div class=\"eh-simple-accordion__inner\">\n<p>Ask the vendor directly and press for specifics. You want to know: what data was the model trained on? Has bias testing been conducted across gender, race, age and disability? What were the results? Has a Data Protection Impact Assessment been completed? You should also run your own analysis of outcomes: track shortlisting and rejection rates across protected groups and look for patterns that diverge from your applicant pool demographics. <a href=\"https:\/\/sapia.ai\/resources\/blog\/ai-bias-in-hiring-strategies-tools\/\">Sapia&#8217;s guide to AI bias assessment<\/a> is a useful reference for structuring that review.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1777977693368\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1777977693368\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">Should small businesses use AI in hiring?<\/h3><span class=\"eh-simple-accordion__icon\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M10.3966 3.60341C10.3966 2.71788 11.1145 2 12 2C12.8855 2 13.6034 2.71788 13.6034 3.60341V10.3966H20.3966C21.2822 10.3966 22 11.1145 22 12C22 12.8856 21.2822 13.6034 20.3966 13.6034H13.6034V20.3966C13.6034 21.2822 12.8855 22 12 22C11.1145 22 10.3966 21.2822 10.3966 20.3966V13.6034H3.6034C2.71786 13.6034 2 12.8856 2 12C2 11.1145 2.71786 10.3966 3.6034 10.3966H10.3966V3.60341Z\" fill=\"currentColor\"><\/path><\/svg><\/span><\/label><div class=\"eh-simple-accordion__content\"><div class=\"eh-simple-accordion__inner\">\n<p>It can be a good fit, with caveats. AI tools built for SMBs can genuinely reduce admin and help smaller teams compete for talent. The stakes are also high: 91爆料 research found that productivity is halved in businesses with no or low levels of AI adoption. That said, 8 in 10 business leaders agree that implementing technology and AI solutions is a challenge and smaller organisations typically have fewer resources to audit and govern these tools. If you&#8217;re considering AI recruitment tools as a small business, start with tools that have transparent, documented bias testing, keep humans in the decision-making loop and make sure you understand your obligations under the Equality Act 2010 and UK GDPR before you deploy. For more on how smaller businesses can get the most from AI without overextending, see our guide on<a href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-for-small-business-growth\/\"> how AI can help small businesses compete<\/a>.<\/p>\n<\/div><\/div><\/div>\n<\/div><\/div><\/div>\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\/\/schema.org\/\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does AI make hiring fairer or less fair?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Both, depending on how it's built and how it's used. AI can reduce some forms of individual human bias by applying consistent criteria. But it can also reproduce and amplify structural bias at scale if trained on historically skewed data. The answer depends entirely on whether the employer using it is actively testing for bias, maintaining human oversight and treating fairness as an ongoing concern rather than a box to tick at procurement.<\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can I be held legally responsible for bias in an AI hiring tool I didn't build?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Yes. Under the Equality Act 2010, responsibility rests with the employer, not the software vendor. If your recruitment process produces discriminatory outcomes, you are liable for those outcomes whether a human or an algorithm produced them. The EEOC's 2023 settlement with iTutorGroup and the 2025 Workday class action in the US are instructive: courts and regulators are firmly rejecting the idea that outsourcing a decision to software insulates an employer from discrimination law. Our<a href=\\\"https:\/\/employmenthero.com\/uk\/blog\/navigating-employment-rights-faqs\/\\\"> employment rights FAQ<\/a> covers employer duties under current UK law, including the positive duty to proactively prevent discrimination.<\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How do I know if an AI recruitment tool is biased?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Ask the vendor directly and press for specifics. You want to know: what data was the model trained on? Has bias testing been conducted across gender, race, age and disability? What were the results? Has a Data Protection Impact Assessment been completed? You should also run your own analysis of outcomes: track shortlisting and rejection rates across protected groups and look for patterns that diverge from your applicant pool demographics. <a href=\\\"https:\/\/sapia.ai\/resources\/blog\/ai-bias-in-hiring-strategies-tools\/\\\">Sapia's guide to AI bias assessment<\/a> is a useful reference for structuring that review.<\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Should small businesses use AI in hiring?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>It can be a good fit, with caveats. AI tools built for SMBs can genuinely reduce admin and help smaller teams compete for talent. The stakes are also high: 91爆料 research found that productivity is halved in businesses with no or low levels of AI adoption. That said, 8 in 10 business leaders agree that implementing technology and AI solutions is a challenge and smaller organisations typically have fewer resources to audit and govern these tools. If you're considering AI recruitment tools as a small business, start with tools that have transparent, documented bias testing, keep humans in the decision-making loop and make sure you understand your obligations under the Equality Act 2010 and UK GDPR before you deploy. For more on how smaller businesses can get the most from AI without overextending, see our guide on<a href=\\\"https:\/\/employmenthero.com\/uk\/blog\/ai-for-small-business-growth\/\\\"> how AI can help small businesses compete<\/a>.<\/p>\"\n            }\n        }\n    ]\n}<\/script><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignfull is-style-default has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\">\n<div class=\"wp-block-group is-content-justification-space-between is-layout-flex wp-container-core-group-is-layout-13 wp-block-group-is-layout-flex\" style=\"margin-bottom:var(--wp--preset--spacing--10)\">\n<h3 class=\"wp-block-heading\">Related Resources<\/h3>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-link-arrow is-style-link-arrow--3\"><a class=\"wp-block-button__link has-btn-brand-background-color has-background wp-element-button\" href=\"https:\/\/employmenthero.com\/uk\/resources\/businesses\/\">View all<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-query blog-3-col-query-loop is-layout-flow wp-block-query-is-layout-flow\"><ul class=\"columns-3 alignfull wp-block-post-template is-layout-grid wp-container-core-post-template-is-layout-1 wp-block-post-template-is-layout-grid\"><li class=\"wp-block-post post-51178 post type-post status-publish format-standard has-post-thumbnail hentry category-uncategorized resource-type-blog\">\n\n<div class=\"wp-block-group has-border-color has-neutral-100-border-color has-white-background-color has-background is-vertical is-layout-flex wp-container-core-group-is-layout-16 wp-block-group-is-layout-flex\" style=\"border-width:1px;min-height:100%\"><figure style=\"aspect-ratio:auto; padding-bottom:0;padding-top:0;margin-bottom:0;\" class=\"wp-block-post-featured-image\"><a href=\"https:\/\/employmenthero.com\/uk\/blog\/six-year-records-rule-holiday-pay-compliance\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"900\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593.webp\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"What The New Six-Year Records Rule Means For Your HR and Payroll Processes\" style=\"width:100%;height:100%;object-fit:fill;\" srcset=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593.webp 1600w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593-300x169.webp 300w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593-1024x576.webp 1024w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593-768x432.webp 768w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593-1536x864.webp 1536w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/06\/72547e7e96459ef3842ed013217b2593-440x248.webp 440w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><\/a><\/figure>\n\n\n<div class=\"wp-block-group is-vertical is-nowrap is-layout-flex wp-container-core-group-is-layout-15 wp-block-group-is-layout-flex\" style=\"margin-top:0;padding-top:var(--wp--preset--spacing--10);padding-right:var(--wp--preset--spacing--10);padding-bottom:var(--wp--preset--spacing--10);padding-left:var(--wp--preset--spacing--10)\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-14 wp-block-group-is-layout-flex\"><div style=\"font-style:normal;font-weight:600\" class=\"taxonomy-resource-type eh-resource-type wp-block-post-terms\"><img decoding=\"async\" class=\"wp-block-post-terms-icon\" width=\"20\" height=\"20\" alt=\"icon-blog\" loading=\"lazy\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2021\/07\/David_Holland.jpg\"><a href=\"https:\/\/employmenthero.com\/uk\/resources\/blog\/\" rel=\"tag\">Blogs<\/a><\/div>\n\n<h3 class=\"wp-block-post-title\"><a href=\"https:\/\/employmenthero.com\/uk\/blog\/six-year-records-rule-holiday-pay-compliance\/\" target=\"_self\" >What The New Six-Year Records Rule Means For Your HR and Payroll Processes<\/a><\/h3>\n\n<div class=\"wp-block-post-excerpt has-text-color has-contrast-2-color has-small-font-size wp-container-content-2\"><p class=\"wp-block-post-excerpt__excerpt\">From 6 April 2026, UK employers must keep holiday pay records for six years. Learn what changed, which records to&hellip; <\/p><\/div><\/div>\n\n\n<a style=\"font-style:normal;font-weight:600;\" class=\"wp-elements-9dfcbcb7662772ecb2d671e8976a6c51 wp-block-read-more has-text-color has-violet-500-color\" href=\"https:\/\/employmenthero.com\/uk\/blog\/six-year-records-rule-holiday-pay-compliance\/\" target=\"_self\">Read more<span class=\"screen-reader-text\">: What The New Six-Year Records Rule Means For Your HR and Payroll Processes<\/span><\/a><\/div>\n<\/div>\n<a href=\"https:\/\/employmenthero.com\/uk\/blog\/six-year-records-rule-holiday-pay-compliance\/\" target=\"_self\" class=\"group-block-link\"><\/a>\n<\/li><li class=\"wp-block-post post-51047 post type-post status-publish format-standard has-post-thumbnail hentry category-uncategorized resource-type-blog\">\n\n<div class=\"wp-block-group has-border-color has-neutral-100-border-color has-white-background-color has-background is-vertical is-layout-flex wp-container-core-group-is-layout-19 wp-block-group-is-layout-flex\" style=\"border-width:1px;min-height:100%\"><figure style=\"aspect-ratio:auto; padding-bottom:0;padding-top:0;margin-bottom:0;\" class=\"wp-block-post-featured-image\"><a href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-performance-review\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"900\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback.webp\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"AI Performance Reviews: How To Use AI To Give Better Feedback\" style=\"width:100%;height:100%;object-fit:fill;\" srcset=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback.webp 1600w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback-300x169.webp 300w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback-1024x576.webp 1024w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback-768x432.webp 768w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback-1536x864.webp 1536w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/AI-Performance-Reviews-How-To-Use-AI-To-Give-Better-Feedback-440x248.webp 440w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><\/a><\/figure>\n\n\n<div class=\"wp-block-group is-vertical is-nowrap is-layout-flex wp-container-core-group-is-layout-18 wp-block-group-is-layout-flex\" style=\"margin-top:0;padding-top:var(--wp--preset--spacing--10);padding-right:var(--wp--preset--spacing--10);padding-bottom:var(--wp--preset--spacing--10);padding-left:var(--wp--preset--spacing--10)\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-17 wp-block-group-is-layout-flex\"><div style=\"font-style:normal;font-weight:600\" class=\"taxonomy-resource-type eh-resource-type wp-block-post-terms\"><img decoding=\"async\" class=\"wp-block-post-terms-icon\" width=\"20\" height=\"20\" alt=\"icon-blog\" loading=\"lazy\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2021\/07\/David_Holland.jpg\"><a href=\"https:\/\/employmenthero.com\/uk\/resources\/blog\/\" rel=\"tag\">Blogs<\/a><\/div>\n\n<h3 class=\"wp-block-post-title\"><a href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-performance-review\/\" target=\"_self\" >AI Performance Reviews: How To Use AI To Give Better Feedback<\/a><\/h3>\n\n<div class=\"wp-block-post-excerpt has-text-color has-contrast-2-color has-small-font-size wp-container-content-4\"><p class=\"wp-block-post-excerpt__excerpt\">AI is changing how managers write performance reviews, from reducing bias to generating smarter prompts. Here&#8217;s how to use it&hellip; <\/p><\/div><\/div>\n\n\n<a style=\"font-style:normal;font-weight:600;\" class=\"wp-elements-9dfcbcb7662772ecb2d671e8976a6c51 wp-block-read-more has-text-color has-violet-500-color\" href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-performance-review\/\" target=\"_self\">Read more<span class=\"screen-reader-text\">: AI Performance Reviews: How To Use AI To Give Better Feedback<\/span><\/a><\/div>\n<\/div>\n<a href=\"https:\/\/employmenthero.com\/uk\/blog\/ai-performance-review\/\" target=\"_self\" class=\"group-block-link\"><\/a>\n<\/li><li class=\"wp-block-post post-50885 post type-post status-publish format-standard has-post-thumbnail hentry category-uncategorized resource-type-blog\">\n\n<div class=\"wp-block-group has-border-color has-neutral-100-border-color has-white-background-color has-background is-vertical is-layout-flex wp-container-core-group-is-layout-22 wp-block-group-is-layout-flex\" style=\"border-width:1px;min-height:100%\"><figure style=\"aspect-ratio:auto; padding-bottom:0;padding-top:0;margin-bottom:0;\" class=\"wp-block-post-featured-image\"><a href=\"https:\/\/employmenthero.com\/uk\/blog\/peo-risk-management\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"900\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management.webp\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"A UK Employers Guide to PEO Risk Management\" style=\"width:100%;height:100%;object-fit:fill;\" srcset=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management.webp 1600w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management-300x169.webp 300w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management-1024x576.webp 1024w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management-768x432.webp 768w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management-1536x864.webp 1536w, https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/05\/A-UK-Employers-Guide-to-PEO-Risk-Management-440x248.webp 440w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><\/a><\/figure>\n\n\n<div class=\"wp-block-group is-vertical is-nowrap is-layout-flex wp-container-core-group-is-layout-21 wp-block-group-is-layout-flex\" style=\"margin-top:0;padding-top:var(--wp--preset--spacing--10);padding-right:var(--wp--preset--spacing--10);padding-bottom:var(--wp--preset--spacing--10);padding-left:var(--wp--preset--spacing--10)\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-20 wp-block-group-is-layout-flex\"><div style=\"font-style:normal;font-weight:600\" class=\"taxonomy-resource-type eh-resource-type wp-block-post-terms\"><img decoding=\"async\" class=\"wp-block-post-terms-icon\" width=\"20\" height=\"20\" alt=\"icon-blog\" loading=\"lazy\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2021\/07\/David_Holland.jpg\"><a href=\"https:\/\/employmenthero.com\/uk\/resources\/blog\/\" rel=\"tag\">Blogs<\/a><\/div>\n\n<h3 class=\"wp-block-post-title\"><a href=\"https:\/\/employmenthero.com\/uk\/blog\/peo-risk-management\/\" target=\"_self\" >A UK Employers Guide to PEO Risk Management<\/a><\/h3>\n\n<div class=\"wp-block-post-excerpt has-text-color has-contrast-2-color has-small-font-size wp-container-content-6\"><p class=\"wp-block-post-excerpt__excerpt\">HR compliance and payroll risks can cost UK businesses dearly. Discover how a PEO reduces risk, cuts costs and supports&hellip; <\/p><\/div><\/div>\n\n\n<a style=\"font-style:normal;font-weight:600;\" class=\"wp-elements-9dfcbcb7662772ecb2d671e8976a6c51 wp-block-read-more has-text-color has-violet-500-color\" href=\"https:\/\/employmenthero.com\/uk\/blog\/peo-risk-management\/\" target=\"_self\">Read more<span class=\"screen-reader-text\">: A UK Employers Guide to PEO Risk Management<\/span><\/a><\/div>\n<\/div>\n<a href=\"https:\/\/employmenthero.com\/uk\/blog\/peo-risk-management\/\" target=\"_self\" class=\"group-block-link\"><\/a>\n<\/li><\/ul><\/div>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI in hiring can speed up recruitment, but bias risks are real. Learn how AI hiring algorithms work, where bias creeps in and how to build a fairer process.<\/p>\n","protected":false},"author":693,"featured_media":50829,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_lite_auth_enabled":false,"_lite_auth_trigger_method":"scroll","_lite_auth_scroll_percent":25,"_lite_auth_click_element_query":"","exclude_from_algolia":false,"reading_time":"13 min read","display_reading_time":false,"download_content_type":"","download_file":"","download_url":"","download_cta_label":"","footnotes":""},"categories":[1],"tags":[],"resource-type":[],"topic":[],"industry":[],"audience":[],"business-size":[],"product-tag":[],"funnel-stage":[],"region":[],"pain-point":[],"persona":[],"post_features":[],"class_list":["post-50827","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/posts\/50827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/users\/693"}],"replies":[{"embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/comments?post=50827"}],"version-history":[{"count":2,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/posts\/50827\/revisions"}],"predecessor-version":[{"id":50831,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/posts\/50827\/revisions\/50831"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/media\/50829"}],"wp:attachment":[{"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/media?parent=50827"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/categories?post=50827"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/tags?post=50827"},{"taxonomy":"resource-type","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/resource-type?post=50827"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/topic?post=50827"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/industry?post=50827"},{"taxonomy":"audience","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/audience?post=50827"},{"taxonomy":"business-size","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/business-size?post=50827"},{"taxonomy":"product-tag","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/product-tag?post=50827"},{"taxonomy":"funnel-stage","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/funnel-stage?post=50827"},{"taxonomy":"region","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/region?post=50827"},{"taxonomy":"pain-point","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/pain-point?post=50827"},{"taxonomy":"persona","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/persona?post=50827"},{"taxonomy":"post_features","embeddable":true,"href":"https:\/\/employmenthero.com\/uk\/wp-json\/wp\/v2\/post_features?post=50827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}