{"id":15134,"date":"2026-03-31T10:48:25","date_gmt":"2026-03-31T14:48:25","guid":{"rendered":"https:\/\/employmenthero.com\/en-ca\/?p=15134"},"modified":"2026-03-31T10:51:18","modified_gmt":"2026-03-31T14:51:18","slug":"using-ai-in-hr","status":"publish","type":"post","link":"https:\/\/employmenthero.com\/en-ca\/blog\/using-ai-in-hr\/","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:20px\" 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-query wp-block-hosts-query has-global-padding is-content-justification-left is-layout-constrained wp-container-core-query-is-layout-1 wp-block-query-is-layout-constrained\"><\/div>\n\n\n\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>Last Updated<\/span>&nbsp;<time datetime=\"2026-03-31T10:51:18-04:00\">Mar 31, 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 decoding=\"async\" src=\"https:\/\/employmenthero.com\/uk\/wp-content\/uploads\/sites\/2\/2026\/03\/Earned-Wage-Access-scaled.webp\" alt=\"A man and a woman talking outside\" class=\"wp-image-48954\" style=\"aspect-ratio:16\/9;object-fit:cover;width:864px\"\/><\/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-13 wp-block-group-is-layout-constrained\">\n<p class=\"has-paragraph-2-m-font-size\">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 class=\"has-paragraph-2-m-font-size\">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 Canada, the employer is legally responsible for the outcome, not the software vendor.<\/p>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Here, we explain how AI is used across hiring, 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\">What is AI in hiring?<\/h2>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">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.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How AI is used across the hiring process<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Here&#8217;s where AI typically gets applied:<\/p>\n\n\n\n<ul class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><strong>Job description writing:<\/strong> AI tools suggest language, flag gendered terms and help write descriptions optimized for search visibility and candidate response rates.<\/li>\n\n\n\n<li><strong>Candidate sourcing:<\/strong> AI searches job boards, resume databases and professional networks to build candidate lists based on skills, experience and profile signals.<\/li>\n\n\n\n<li><strong>Resume screening:<\/strong> Algorithms rank and filter applications against defined criteria, often before a human sees a single resume.<\/li>\n\n\n\n<li><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><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 expressions.<\/li>\n\n\n\n<li><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\">Why employers are adopting AI in hiring<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">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. Against that backdrop, AI&#8217;s appeal is understandable.<\/p>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">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\"> 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 case for efficiency.<\/p>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">That case is real. But it doesn&#8217;t tell the full story.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The benefits of using AI in hiring<\/h2>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">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\">Faster screening and shortlisting<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Manual resume 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 at up to 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 class=\"has-paragraph-2-m-font-size\">Faster screening only delivers value if it also helps identify the right people, not just more people. See how<a href=\"https:\/\/employmenthero.com\/en-ca\/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\">More consistent candidate evaluation<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Human reviewers are inconsistent. The same resume 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\">Improved candidate experience<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">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\/en-ca\/resources\/employee-engagement-checklist\/\">employee engagement checklist<\/a>.<\/p>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">To see how AI-powered hiring tools can improve your recruitment process, take a look at <a href=\"https:\/\/employmenthero.com\/en-ca\/products\/find-candidates-ca\/\">91爆料&#8217;s recruitment solutions<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI as a partner in progress<\/h2>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">AI in hiring isn&#8217;t just about automation; it\u2019s about <strong>augmentation<\/strong>. By handling the high-volume, repetitive tasks that lead to human &#8220;decision fatigue,&#8221; AI allows HR professionals to focus on what they do best: building relationships and evaluating the human elements of a candidate.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can AI reduce bias in hiring?<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\"><strong>The short answer is: Absolutely.<\/strong> While much is made of algorithmic risk, AI offers a unique opportunity to standardize hiring in a way humans simply cannot.<\/p>\n\n\n\n<ul class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><strong>Removing &#8220;gut feeling&#8221;:<\/strong> Unlike human recruiters, who might be subconsciously influenced by a candidate&#8217;s hobbies, alma mater, or even the time of day they are reviewing a resume, AI follows a strict, logic-based rubric.<\/li>\n\n\n\n<li><strong>Scaling diversity efforts:<\/strong> AI can be intentionally programmed to &#8220;blind&#8221; certain demographic data during the initial screening, ensuring that candidates are surfaced based purely on skills and competencies.<\/li>\n\n\n\n<li><strong>Consistent evaluation:<\/strong> A well-tuned algorithm provides every single applicant with the exact same level of scrutiny, eliminating the variability that often leads to unfair outcomes in manual processes.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Navigating the challenges for better outcomes<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Understanding where bias <em>can<\/em> occur isn&#8217;t a reason to avoid AI: it&#8217;s a roadmap for using it more effectively. When we talk about &#8220;AI bias,&#8221; we are actually talking about <strong>identifying and fixing historical patterns.<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><strong>Training with intention:<\/strong> Modern AI developers are now using &#8220;synthetic data&#8221; and diverse historical datasets to ensure models aren&#8217;t just looking at who was hired in the past, but who has the potential to succeed in the future.<\/li>\n\n\n\n<li><strong>The power of transparency:<\/strong> Because AI processes are documented and data-driven, they are actually <strong>easier to audit<\/strong> than a human\u2019s internal thoughts. If a bias is detected, the code can be adjusted; you can\u2019t &#8220;reprogram&#8221; a human\u2019s unconscious mind quite as easily.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">AI bias in the recruitment funnel: A quality control opportunity<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Rather than seeing bias as an inevitable flaw, forward-thinking employers view these checkpoints as <strong>quality control stages<\/strong> that lead to better hires:<\/p>\n\n\n\n<ol class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><strong>Resume screening:<\/strong> Instead of relying on traditional &#8220;pedigree&#8221; (like Ivy League schools), AI can be set to prioritize <strong>skills-based hiring<\/strong>, opening doors for qualified candidates from non-traditional backgrounds.<\/li>\n\n\n\n<li><strong>Job descriptions:<\/strong> AI-powered &#8220;augmented writing&#8221; tools don&#8217;t just find bias; they actively suggest <strong>inclusive language<\/strong> that has been proven to increase the diversity of the applicant pool.<\/li>\n\n\n\n<li><strong>Video assessments:<\/strong> While early facial analysis tools faced criticism, the next generation of AI focuses on <strong>Natural Language Processing (NLP)<\/strong> to evaluate the <em>content<\/em> of an answer rather than the delivery, helping to level the playing field for neurodivergent candidates.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">The bottom line: AI informing human judgment<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">The most successful Canadian companies aren&#8217;t choosing between AI and humans; they are choosing <strong>AI + Human Oversight<\/strong>.<\/p>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">By using AI as a sophisticated &#8220;first pass,&#8221; recruiters can spend their limited time engaging with a pre-vetted, high-quality shortlist. This doesn&#8217;t just speed up the process\u2014it makes it more equitable by ensuring that every qualified candidate, regardless of their background, gets the attention they deserve.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The legal foundation: CHRA and provincial codes<\/h2>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">The Canadian Human Rights Act (CHRA) at the federal level, and various Provincial Human Rights Codes (such as Ontario\u2019s <em>Human Rights Code<\/em>), prohibit discrimination based on protected characteristics. These include race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics and disability.<\/p>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Critically, <strong>intent doesn&#8217;t matter.<\/strong> Canadian law focuses on <strong>Adverse Effect Discrimination<\/strong> (also known as constructive discrimination). If a hiring practice appears neutral but produces a disproportionate disadvantage for a protected group, it is unlawful. An algorithm that screens out candidates with employment gaps\u2014which may disproportionately affect women due to childcare or individuals with disabilities\u2014is creating adverse effect discrimination, regardless of whether the employer intended that outcome.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Regulatory oversight and audit findings<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">The <strong>Office of the Privacy Commissioner of Canada (OPC)<\/strong> and provincial regulators have significantly increased their oversight of AI recruitment tools. Recent reviews and audits of AI vendors in Canada have identified several critical compliance gaps:<\/p>\n\n\n\n<ul class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><strong>Proxy Discrimination:<\/strong> Some tools allowed recruiters to filter candidates using criteria that acted as proxies for protected characteristics, such as &#8220;cultural fit&#8221; or specific neighbourhood data.<\/li>\n\n\n\n<li><strong>Inferred Data Risks:<\/strong> Providers were found to be failing to treat inferred demographic data (like a candidate&#8217;s ethnicity or gender predicted by an algorithm) as sensitive personal information under <strong>PIPEDA<\/strong> and the <strong>Digital Charter Implementation Act<\/strong>.<\/li>\n\n\n\n<li><strong>Non-Consensual Data Harvesting:<\/strong> Extensive candidate databases were being populated through automated web scraping of social media profiles without obtaining meaningful consent from the individuals.<\/li>\n<\/ul>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Before deploying any AI recruitment product, Canadian regulators state that employers should confirm the provider has completed both a <strong>Privacy Impact Assessment (PIA)<\/strong> and an <strong>Algorithmic Impact Assessment (AIA)<\/strong>. Furthermore, transparency is now a legal baseline; candidates must be informed when AI is used to evaluate them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The shift to enforcement: Ontario\u2019s Bill 149 and AIDA<\/h3>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Canada is moving toward a more structured AI regulatory environment. While the federal <strong>Artificial Intelligence and Data Act (AIDA)<\/strong> continues to shape national standards for &#8220;high-impact systems,&#8221; individual provinces have already taken the lead:<\/p>\n\n\n\n<ul class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><strong>Ontario\u2019s Bill 149:<\/strong> As of <strong>January 1, 2026<\/strong>, employers in Ontario with 25 or more employees are legally required to include a statement in their job postings disclosing the use of AI to &#8220;screen, assess, or select&#8221; applicants.<\/li>\n\n\n\n<li><strong>National Standards:<\/strong> In late 2025, Accessibility Standards Canada published <strong>CAN-ASC-6.2:2025<\/strong>, a national standard requiring employers to validate that AI hiring tools do not create systemic barriers for people with disabilities.<\/li>\n<\/ul>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">The direction of travel is clear: the regulatory environment for AI in hiring in Canada is tightening, with an increasing focus on mandatory disclosure and proactive bias mitigation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to reduce AI bias in your hiring process<\/h2>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">Here are practical steps to audit and reduce your bias risk:<\/p>\n\n\n\n<ol class=\"wp-block-list has-paragraph-2-m-font-size\">\n<li><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><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><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.<\/li>\n\n\n\n<li><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><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.<\/li>\n<\/ol>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">For more on how AI is reshaping the world of work, see our guide to <a href=\"https:\/\/employmenthero.com\/en-ca\/blog\/ai-work-guide\/\">AI in the workplace<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI-powered hiring, built responsibly<\/h2>\n\n\n\n<p class=\"has-paragraph-2-m-font-size\">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, explore 91爆料&#8217;s AI.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-2 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/employmenthero.com\/en-ca\/request-a-demo\/\">Book a demo<\/a><\/div>\n<\/div>\n\n\n\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--10)\">\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-1770888394822\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1770888394822\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">Is using AI in the hiring process legal in Canada?<\/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 class=\"has-paragraph-2-m-font-size\">Yes, it is legal, but it is strictly regulated. Under the <strong>Canadian Human Rights Act<\/strong> and provincial codes, employers are legally responsible for any discriminatory outcomes, even if they were caused by a third-party AI tool. As of <strong>January 1, 2026<\/strong>, Ontario law (<strong>Bill 149<\/strong>) specifically requires employers with 25+ employees to include a clear statement in public job postings if AI is used to screen, assess, or select applicants.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1770888394836\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1770888394836\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">Can AI actually help make recruitment fairer?<\/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\u2014and it\u2019s one of the most exciting benefits of the technology. AI\u2019s greatest strength is its ability to eliminate the &#8220;gut feel&#8221; and unconscious &#8220;affinity bias&#8221; that often cloud human judgment. By applying a consistent, data-driven rubric to every single application, AI ensures that every candidate is evaluated against the exact same high standards.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1770888433604\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1770888433604\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">How can I tell if my 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>The most effective way is to conduct a <strong>disparate impact audit<\/strong>. Compare the &#8220;pass rates&#8221; of different demographic groups (e.g., gender, race, age). If one group is being screened out at a significantly higher rate (often measured by the <strong>four-fifths rule<\/strong>), your algorithm likely has a bias issue. You should also ask your software vendor for their <strong>Algorithmic Impact Assessment (AIA)<\/strong> and details on the diversity of their training data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-employmentherocom2025-simple-accordion eh-simple-accordion\"><input type=\"checkbox\" id=\"accordion-1770888447215\" class=\"eh-simple-accordion__checkbox\"\/><label for=\"accordion-1770888447215\" class=\"eh-simple-accordion__header\"><h3 class=\"eh-simple-accordion__title\">Should AI make the final hiring decision?<\/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>No. Canadian regulators and ethical guidelines strongly advise a <strong>&#8220;human-in-the-loop&#8221;<\/strong> approach. AI should be used as a tool to surface and rank candidates, but a human should always perform the final review of shortlists and rejections. This oversight ensures that &#8220;statistical outliers&#8221;\u2014such as highly qualified candidates with non-linear career paths or disabilities\u2014are not unfairly discarded by a machine.<\/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\": \"Is using AI in the hiring process legal in Canada?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Yes, it is legal, but it is strictly regulated. Under the <strong>Canadian Human Rights Act<\/strong> and provincial codes, employers are legally responsible for any discriminatory outcomes, even if they were caused by a third-party AI tool. As of <strong>January 1, 2026<\/strong>, Ontario law (<strong>Bill 149<\/strong>) specifically requires employers with 25+ employees to include a clear statement in public job postings if AI is used to screen, assess, or select applicants.<\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can AI actually help make recruitment fairer?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Yes\\u2014and it\\u2019s one of the most exciting benefits of the technology. AI\\u2019s greatest strength is its ability to eliminate the \\\"gut feel\\\" and unconscious \\\"affinity bias\\\" that often cloud human judgment. By applying a consistent, data-driven rubric to every single application, AI ensures that every candidate is evaluated against the exact same high standards.<\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How can I tell if my AI recruitment tool is biased?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>The most effective way is to conduct a <strong>disparate impact audit<\/strong>. Compare the \\\"pass rates\\\" of different demographic groups (e.g., gender, race, age). If one group is being screened out at a significantly higher rate (often measured by the <strong>four-fifths rule<\/strong>), your algorithm likely has a bias issue. You should also ask your software vendor for their <strong>Algorithmic Impact Assessment (AIA)<\/strong> and details on the diversity of their training data.<\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Should AI make the final hiring decision?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>No. Canadian regulators and ethical guidelines strongly advise a <strong>\\\"human-in-the-loop\\\"<\/strong> approach. AI should be used as a tool to surface and rank candidates, but a human should always perform the final review of shortlists and rejections. This oversight ensures that \\\"statistical outliers\\\"\\u2014such as highly qualified candidates with non-linear career paths or disabilities\\u2014are not unfairly discarded by a machine.<\/p>\"\n            }\n        }\n    ]\n}<\/script>\n\n\n<style>\n.content-wrapper li > ul li {padding-bottom:0.75rem!important;}\n.content-wrapper li:last-child > ul li {padding-bottom:0!important;}\n.eh-faq__container {flex-direction:column!important;}\n@media screen and (min-width: 1441px) {\n\u00a0.eh-faq__content {\n\u00a0max-width: 904px!important;\n\u00a0min-width: 715px!important;\n\u00a0}\n}\n.eh-faq {padding:0px 0px 24px 0px!important;}\n<\/style>\n<\/div>\n<\/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-14 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=\"\/resources\/?topic%5B0%5D%5B0%5D=Product\">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-16721 post type-post status-publish format-standard hentry category-uncategorised 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-17 wp-block-group-is-layout-flex\" style=\"border-width:1px;min-height:100%\">\n\n\n<div class=\"wp-block-group is-vertical is-nowrap is-layout-flex wp-container-core-group-is-layout-16 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-15 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\/en-ca\/wp-content\/uploads\/sites\/6\/2025\/11\/eye-logo.png\"><a href=\"https:\/\/employmenthero.com\/en-ca\/resources\/blog\/\" rel=\"tag\">Blogs<\/a><\/div>\n\n<h3 class=\"wp-block-post-title\"><a href=\"https:\/\/employmenthero.com\/en-ca\/blog\/10-things-learnt-employment-hero-partner-summit\/\" target=\"_self\" >10 Things We Learnt at the 91爆料 Partner Summit<\/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\">Contents Bringing 100 of the sharpest minds in the Canadian small and medium business (SMB) ecosystem into one room at&hellip; 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Read&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\/en-ca\/blog\/employment-hero-partner-summit-recap\/\" target=\"_self\">Read more<span class=\"screen-reader-text\">: From passion to purpose: Celebrating the heart of Canadian business at the 91爆料 Partner Summit<\/span><\/a><\/div>\n<\/div>\n<a href=\"https:\/\/employmenthero.com\/en-ca\/blog\/employment-hero-partner-summit-recap\/\" target=\"_self\" class=\"group-block-link\"><\/a>\n<\/li><\/ul><\/div>\n<\/div>\n<\/div>\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":454,"featured_media":15146,"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":"9 min read","display_reading_time":false,"download_content_type":"","download_file":"","download_url":"","download_cta_label":"","footnotes":""},"categories":[1],"tags":[],"resource-type":[30],"topic":[],"industry":[],"audience":[],"business-size":[],"product-tag":[],"funnel-stage":[],"region":[],"pain-point":[],"persona":[],"post_features":[],"class_list":["post-15134","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorised","resource-type-blog"],"_links":{"self":[{"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/posts\/15134","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/users\/454"}],"replies":[{"embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/comments?post=15134"}],"version-history":[{"count":4,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/posts\/15134\/revisions"}],"predecessor-version":[{"id":15551,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/posts\/15134\/revisions\/15551"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/media\/15146"}],"wp:attachment":[{"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/media?parent=15134"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/categories?post=15134"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/tags?post=15134"},{"taxonomy":"resource-type","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/resource-type?post=15134"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/topic?post=15134"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/industry?post=15134"},{"taxonomy":"audience","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/audience?post=15134"},{"taxonomy":"business-size","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/business-size?post=15134"},{"taxonomy":"product-tag","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/product-tag?post=15134"},{"taxonomy":"funnel-stage","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/funnel-stage?post=15134"},{"taxonomy":"region","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/region?post=15134"},{"taxonomy":"pain-point","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/pain-point?post=15134"},{"taxonomy":"persona","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/persona?post=15134"},{"taxonomy":"post_features","embeddable":true,"href":"https:\/\/employmenthero.com\/en-ca\/wp-json\/wp\/v2\/post_features?post=15134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}