This section will have annotations for posts and videos.
| “Tested 8 AI recruiting tools in 2025” | |||
|---|---|---|---|
| What it covers | This post gives readers a perspective on evaluating AI recruitment tools for hiring. The person writing it argues that a lot of platforms preform keyword matching, but stronger tools are better at contextual candidate matching and responding to recruiter feedback. | ||
| Why it's valuable | This source is valuable because it gives readers a different perspective on AI hiring tools and has practical experiences with the AI products. | ||
| Who would benefit | This post benefits recruiters and possible applicants. | ||
| limitations | This article is too anecdotal rather than providing scientific research not to mention that the author of the post is anonymous so we can't confirm the credibility. | ||
| Citation | virtuallynudebot. (2025). Tested 8 AI recruiting tools in 2025, here's what actually worked for technical hiring [Online forum post]. Reddit. https://www.reddit.com/r/RecruitmentAgencies/comments/1o8dtn5/tested_8_ai_recruiting_tools_in_2025_heres_what/ | ||
| “How AI Is Deciding Who Gets Hired” | |||
|---|---|---|---|
| What it covers | This video covers how AI is being slowly incorporated into hiring, including automated resume screenings and applicant evaluations. It explains how more companies are now turning to AI to handle large numbers of applications to make recruitment more efficient. It also raises questions about how the systems judges candidates. | ||
| Why it's valuable | The video is valuable because it introduces both the practical uses and potential concerns about AI hiring systems. | ||
| Who would benefit | It benefits potential applicants, students who have just graduated looking for work, companies and HR. | ||
| limitations | The video is a couple years outdated and as AI is advancing very quickly so it should be remade with new information. | ||
| Citation | Bloomberg Originals. (2022, February 3). How AI is deciding who gets hired [Video]. YouTube. https://www.youtube.com/watch?v=6nGM37ThEsU | ||
| “ AI Hiring Bias: 90% of Employers Use Automated Systems” | |||
|---|---|---|---|
| What it covers | This post summarizes research from the stanford lab on algorithmic monocultures in hiring. It emphasizes the concern that when employers rely on AI screening systems, candidates encounter the same evaluation across multiple applications. About 10% of applicants applying to 4 different jobs were rejected due to the AI screening process being the same across employers. | ||
| Why it's valuable | This post provides beginner information to the concepts of AI hiring systems and is easy to follow for people barely learning about AI and its concepts. | ||
| Who would benefit | this post benefits appliants and students. | ||
| limitations | The post is just a social-media summary rather than a full on researched article. It's not fully credible even with its research with Stanford. | ||
| Citation | Chapman, V. (2026). AI hiring bias: 90% of employers use automated systems [LinkedIn post]. LinkedIn. https://www.linkedin.com/posts/valeriechapman_a-new-stanford-digital-economy-lab-study-activity-7470573703211216897-XcVt/ | ||
| “Do AI assessment platforms help in eliminating bias?” | |||
|---|---|---|---|
| What it covers | This reddit post asks whether AI assessment systems eliminate bias in recruitment and includes responses from recruiters and other participants. A lot of the comments say that AI will only become automatically biased rather than removing any bias from their systems especially because they are being trained with biased historical information and data. | ||
| Why it's valuable | This discussion has different perspectives on AI and talks about transparency from companies, involves public opinion and fairness in the data and systems. | ||
| Who would benefit | This discussion benefits journalists, companies searching for critique and HR. | ||
| limitations | The limitation is that the comments are anonymous so we don't know if a company is just favoring AI, comments give unsupported evidence and some of the comments are anecdotal. | ||
| Citation | No-Wishbone57. (2026). Do AI assessment platforms help in eliminating bias? [Online forum post]. Reddit. https://www.reddit.com/r/Recruitment/comments/1qr25br/do_ai_assessment_platforms_help_in_eliminating | ||