• Season 3: Unpacking the Promises and Perils of AI in Education - Chapter 1

  • 2024/06/05
  • 再生時間： 36 分
  • ポッドキャスト

Season 3: Unpacking the Promises and Perils of AI in Education - Chapter 1

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  • Summary

    This conversation explores the promises and perils of AI in education, focusing on equity, ethics, and the impact on students and staff of color. It delves into the rush to claim expertise, the ethical use of technology, and the struggle between short-term gains and long-term benefits. The discussion also covers the concepts of AI, machine learning, large language models, and generative AI, highlighting the potential for both positive and concerning outcomes.

    Sound Bites

    "AI, is it important for the equity we seek? Giving teachers what they want, providing students what they need."
    "Moving fast does not always mean being first, does not always equal being fast."
    "Am I sacrificing long-term benefits for short-term gains?"

    Takeaways

    Exploration of the promises and perils of AI in education, with a focus on equity and ethics
    Consideration of the rush to claim expertise and the ethical use of technology
    Discussion of the struggle between short-term gains and long-term benefits
    Insight into the concepts of AI, machine learning, large language models, and generative AI


    The production is in partnership with Chillhop Music. Song List and Credits are listed below:


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あらすじ・解説

Summary

This conversation explores the promises and perils of AI in education, focusing on equity, ethics, and the impact on students and staff of color. It delves into the rush to claim expertise, the ethical use of technology, and the struggle between short-term gains and long-term benefits. The discussion also covers the concepts of AI, machine learning, large language models, and generative AI, highlighting the potential for both positive and concerning outcomes.

Sound Bites

"AI, is it important for the equity we seek? Giving teachers what they want, providing students what they need."
"Moving fast does not always mean being first, does not always equal being fast."
"Am I sacrificing long-term benefits for short-term gains?"

Takeaways

Exploration of the promises and perils of AI in education, with a focus on equity and ethics
Consideration of the rush to claim expertise and the ethical use of technology
Discussion of the struggle between short-term gains and long-term benefits
Insight into the concepts of AI, machine learning, large language models, and generative AI


The production is in partnership with Chillhop Music. Song List and Credits are listed below:


社会科学 世界
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