And the other side. A ResumeBuilder survey from late 2025 found 53% of hiring managers said they reject candidates they can tell used AI. The company screens you with AI. The recruiter rejects you for using AI. Nobody talks about that part out loud.
ETHICS
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Legal actions highlight AI bias in hiring and screening systems
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People have been hurt by this. iTutorGroup told its AI to reject women over 55 and men over 60. The EEOC caught them. They paid $365,000. Workday is being sued right now for race, age, and disability bias. A federal court certified it as a class action.
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The ethics and impact of AI-driven behavioral analysis in hiring
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It is grading how you talk, not what you say. How fast you speak. How long you pause. The words you pick. Whether you sound sure of yourself. It used to grade your face too. The ACLU got that part stopped in 2021 after deaf candidates kept failing.
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Study Finds AI Hiring Tools Systematically Reject Qualified Candidates
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Harvard and Accenture asked 2,250 executives across the US, UK, and Germany if their own hiring software was rejecting qualified people. 88% said yes. For middle-skill roles it was 94%. The companies running these tools know they are broken.
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How AI recruitment algorithms evaluate and rank job applicants
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An AI rejected your last job application before a human saw it. There is a 70% chance no human ever will. HireVue ran 20 million one-way interviews in 3 months. Workday is in court for race and age bias. Here is what the AI actually grades and how to beat it:
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Exchange with OpenAI’s Roon on superintelligent AI and organizational challenges
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Had an interesting exchange with roon of OpenAI last night over whether super intelligent AI would actually be able to navigate organizational challenges.
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Leveraging AI for the benefit of the general population
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That would be good. In general, instead of trying to extort money from the “billionaires” or the “foreigners” we should really be trying to work out how best to leverage AI for the full benefit of the overall population.
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Governance Challenges in the Age of AI Agents
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The third lesson is the one every C-level team should pay attention to right now: In the age of AI, governance teams cannot act like the police. Agents, dashboards, and data products are multiplying fast.
If governance slows the business down, the business will route around it. -
Advocating for linguistic and cultural inclusivity in AI model development
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Shri @SecretaryMEITY highlights that truly inclusive AI must reflect linguistic and cultural diversity across countries like India and regions such as Africa — moving beyond predominantly Western and English-centric models.#IndiaAI #InclusiveAI #AIforAll #DigitalIndia… pic.twitter.com/lC9veAzQ8N
— IndiaAI (@OfficialINDIAai) 12 mai 2026Shri @SecretaryMEITY highlights that truly inclusive AI must reflect linguistic and cultural diversity across countries like India and regions such as Africa — moving beyond predominantly Western and English-centric models. #IndiaAI #InclusiveAI #AIforAll #DigitalIndia