• AI for Beginners: The Flip Side: Challenges and Limitations of AI - Ep 4

  • 2025/01/14
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AI for Beginners: The Flip Side: Challenges and Limitations of AI - Ep 4

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  • This week on AI Innovations Unleashed, we're diving deep into the challenges and limitations of Artificial Intelligence. Join us as we discuss job displacement, data dependence, the "black box" problem, and the current limits of AI with leading economist Dr. Anya Petrova. Are you prepared for the future of work in an AI-driven world? Listen now!

    Reference List (APA 7th Edition):

    • Acemoglu, D., & Restrepo, P. (2017). Robots and jobs: Evidence from US labor markets. NBER Working Paper Series, No. 23285.
    • Dastin, J. (2018, October 10). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters. https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G/
    • Economic Times. (2023, May 2). IBM to freeze hiring for roles that AI could replace, says CEO Arvind Krishna. The Economic Times. [invalid URL removed]
    • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.
    • Marcus, G. (2018). Deep learning: A critical appraisal. arXiv preprint arXiv:1801.00631.
    • Rudin, C. (2019). Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature Machine Intelligence, 1(5), 206-215.
    • World Economic Forum. (2020). The future of jobs report 2020. World Economic Forum.

    Additional Resources:

    • Books:
      • Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
      • Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell
      • Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O'Neil
    • Organizations:
      • Partnership on AI (https://www.partnershiponai.org/)
      • AI Now Institute (https://ainowinstitute.org/)
      • Future of Life Institute (https://futureoflife.org/)
    • Online Courses:
      • Coursera: AI For Everyone by Andrew Ng
      • edX: Ethics in AI and Big Data by The Linux Foundation
      • Udacity: Intro to Artificial Intelligence

    Related Lists:

    • Movies/Documentaries:
      • Coded Bias (Netflix documentary on algorithmic bias)
      • AlphaGo (Documentary about the AI that beat the world champion in Go)
      • 2001: A Space Odyssey
      • Her
      • Ex Machina
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あらすじ・解説

This week on AI Innovations Unleashed, we're diving deep into the challenges and limitations of Artificial Intelligence. Join us as we discuss job displacement, data dependence, the "black box" problem, and the current limits of AI with leading economist Dr. Anya Petrova. Are you prepared for the future of work in an AI-driven world? Listen now!

Reference List (APA 7th Edition):

  • Acemoglu, D., & Restrepo, P. (2017). Robots and jobs: Evidence from US labor markets. NBER Working Paper Series, No. 23285.
  • Dastin, J. (2018, October 10). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters. https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G/
  • Economic Times. (2023, May 2). IBM to freeze hiring for roles that AI could replace, says CEO Arvind Krishna. The Economic Times. [invalid URL removed]
  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.
  • Marcus, G. (2018). Deep learning: A critical appraisal. arXiv preprint arXiv:1801.00631.
  • Rudin, C. (2019). Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature Machine Intelligence, 1(5), 206-215.
  • World Economic Forum. (2020). The future of jobs report 2020. World Economic Forum.

Additional Resources:

  • Books:
    • Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
    • Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell
    • Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O'Neil
  • Organizations:
    • Partnership on AI (https://www.partnershiponai.org/)
    • AI Now Institute (https://ainowinstitute.org/)
    • Future of Life Institute (https://futureoflife.org/)
  • Online Courses:
    • Coursera: AI For Everyone by Andrew Ng
    • edX: Ethics in AI and Big Data by The Linux Foundation
    • Udacity: Intro to Artificial Intelligence

Related Lists:

  • Movies/Documentaries:
    • Coded Bias (Netflix documentary on algorithmic bias)
    • AlphaGo (Documentary about the AI that beat the world champion in Go)
    • 2001: A Space Odyssey
    • Her
    • Ex Machina
続きを読む 一部表示
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