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“LLMs, Learning, and the Law: Navigating the Opportunities and Challenges of AI in Education”
- 2024/03/04
- 再生時間： 35 分
- ポッドキャスト
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サマリー
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あらすじ・解説
https://www.teachaiedu.com
In this thought-provoking episode, we sit down with Dr. Sanmay Das, a leading expert in AI, machine learning, and computational social science, to explore the transformative potential and ethical implications of Large Language Models (LLMs) in education.
Dr. Das shares his insights on how LLMs, a type of artificial intelligence algorithm that uses deep learning techniques and massive datasets to understand, summarize, generate, and predict content, are revolutionizing various aspects of education, from curriculum design and assessment building to predictive analytics and personalized learning.
We delve into the ways in which LLMs can help educators create dynamic, data-driven curricula that adapt to individual student needs, as well as the potential for these models to transform educational assessment practices and provide valuable predictive insights to support student success and retention.
However, we also tackle the critical ethical considerations surrounding the use of LLMs in education, including concerns around student data privacy, bias, and the importance of maintaining human oversight and judgment in educational decision-making.
Throughout the episode, Dr. Das emphasizes the need for responsible development and deployment of these powerful AI tools, and highlights the ongoing importance of collaboration between researchers, educators, policymakers, and the public to ensure that LLMs are used in a way that maximizes their benefits while mitigating potential risks.
Whether you're an educator, administrator, policymaker, or simply someone interested in the future of education and AI, this episode offers a fascinating and nuanced exploration of the opportunities and challenges presented by Large Language Models in the educational landscape.
Tune in to learn more about how these cutting-edge AI tools are shaping the future of learning, and what steps we can take to ensure their ethical and effective implementation in our schools and classrooms.
In this thought-provoking episode, we sit down with Dr. Sanmay Das, a leading expert in AI, machine learning, and computational social science, to explore the transformative potential and ethical implications of Large Language Models (LLMs) in education.
Dr. Das shares his insights on how LLMs, a type of artificial intelligence algorithm that uses deep learning techniques and massive datasets to understand, summarize, generate, and predict content, are revolutionizing various aspects of education, from curriculum design and assessment building to predictive analytics and personalized learning.
We delve into the ways in which LLMs can help educators create dynamic, data-driven curricula that adapt to individual student needs, as well as the potential for these models to transform educational assessment practices and provide valuable predictive insights to support student success and retention.
However, we also tackle the critical ethical considerations surrounding the use of LLMs in education, including concerns around student data privacy, bias, and the importance of maintaining human oversight and judgment in educational decision-making.
Throughout the episode, Dr. Das emphasizes the need for responsible development and deployment of these powerful AI tools, and highlights the ongoing importance of collaboration between researchers, educators, policymakers, and the public to ensure that LLMs are used in a way that maximizes their benefits while mitigating potential risks.
Whether you're an educator, administrator, policymaker, or simply someone interested in the future of education and AI, this episode offers a fascinating and nuanced exploration of the opportunities and challenges presented by Large Language Models in the educational landscape.
Tune in to learn more about how these cutting-edge AI tools are shaping the future of learning, and what steps we can take to ensure their ethical and effective implementation in our schools and classrooms.