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The Pitfalls of Using AI Systems for Hiring
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Inhalt bereitgestellt von Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
In this episode we are joined by Julia Stoyanovich from NYU, to talk about her work into how AI is being used in the hiring process.
Whether you are responsible for hiring on behalf of a business or are a job seeker, you will find this podcast very interesting, but for very different reasons.
Episode Summary
- Algorithmic decision making in the hiring process - what does that mean for businesses and job seekers?
- The hiring process - the funnel effect.
- Lack of public disclosure about the use of algorithmic tools as part of the talent acquisition pipeline.
- Are job seekers being unfairly screened out of the hiring process?
- How AI based implementations of psychometric instruments are used today.
- Is it possible to measure a person’s personality based on data alone?
- Do these systems remove bias and discrimination from the hiring process?
- Testing the stability and consistency of these algorithmic systems.
- Vendors of systems and their lack of testing / recognising the issues.
- Are new laws needed so the hiring process is fairer and more transparent?
- What does the future of hiring look like - fewer AI systems and more human intervention?
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