• Episode 4 - Bots, Brains, & Business: HR & AI: Artificial Intelligence in Human Resources: The Ethical Dilemma

  • 2024/12/23
  • 再生時間： 6 分
  • ポッドキャスト

Episode 4 - Bots, Brains, & Business: HR & AI: Artificial Intelligence in Human Resources: The Ethical Dilemma

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  • サマリー

  • From AI-powered sentiment analysis to personalized learning paths, AI is changing the HR game. But what about bias, privacy, and the human touch? 🤝 Our new podcast episode tackles these crucial questions and more. Tune in for expert insights and a list of further reading!

    Additional Resources:

    • AI Now Institute: A research institute examining the social implications of artificial intelligence. https://ainowinstitute.org/
    • Partnership on AI: A non-profit coalition committed to the responsible use of AI. https://www.partnershiponai.org/
    • The Alan Turing Institute: The UK's national institute for data science and artificial intelligence. https://www.turing.ac.uk/

    References:

    • Dastin, J. (2018, October 10). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters.
    • IBM. (2021). The enterprise guide to closing the skills gap.
    • Mezrich, R. (2023, June 7). How AI Will Revolutionize HR Practices. Forbes.
    • Nguyen, H., & Huat, L. (2021). The Impact of Sentiment on Employee Performance. Journal of Organizational Behavior.
    • PwC. (2022). AI in HR: Employee and Employer Perspectives.
    • Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., ... & Barnes, P. (2020). Actionable auditing: Investigating the impact of publicly naming biased performance audits. In Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (pp. 228-234).
    • Tambe, P., Cappelli, P., & Yakubovich, V. (2023, March-April). AI in HR: A Killer Combination or a Dangerous Game? Harvard Business Review.
    • World Economic Forum. (2019). How to prevent discriminatory outcomes in machine learning.
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あらすじ・解説

From AI-powered sentiment analysis to personalized learning paths, AI is changing the HR game. But what about bias, privacy, and the human touch? 🤝 Our new podcast episode tackles these crucial questions and more. Tune in for expert insights and a list of further reading!

Additional Resources:

  • AI Now Institute: A research institute examining the social implications of artificial intelligence. https://ainowinstitute.org/
  • Partnership on AI: A non-profit coalition committed to the responsible use of AI. https://www.partnershiponai.org/
  • The Alan Turing Institute: The UK's national institute for data science and artificial intelligence. https://www.turing.ac.uk/

References:

  • Dastin, J. (2018, October 10). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters.
  • IBM. (2021). The enterprise guide to closing the skills gap.
  • Mezrich, R. (2023, June 7). How AI Will Revolutionize HR Practices. Forbes.
  • Nguyen, H., & Huat, L. (2021). The Impact of Sentiment on Employee Performance. Journal of Organizational Behavior.
  • PwC. (2022). AI in HR: Employee and Employer Perspectives.
  • Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., ... & Barnes, P. (2020). Actionable auditing: Investigating the impact of publicly naming biased performance audits. In Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (pp. 228-234).
  • Tambe, P., Cappelli, P., & Yakubovich, V. (2023, March-April). AI in HR: A Killer Combination or a Dangerous Game? Harvard Business Review.
  • World Economic Forum. (2019). How to prevent discriminatory outcomes in machine learning.
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