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AI in Education, Research, and Ethics: A Deep Dive with Avi Yashchin | Trending in Ed

Join us for a fascinating conversation with serial entrepreneur Avi Yashchin as we explore the cutting-edge world of Artificial Intelligence (AI) and its impact on education, research, and society. Yashchin, founder of Subconscious AI, shares his unique insights gained from his journey from Wall Street to the forefront of AI development. We discuss: AI in Education: How can AI enhance learning, and what are the potential pitfalls? We delve into the importance of thoughtful AI integration and the role of human oversight in maximizing educational outcomes. AI for Research: Discover how Subconscious AI is using language models (LLMs) to revolutionize research in psychology, sociology, and economics by simulating human behavior in experiments. Ethical Considerations of AI: We tackle the complex ethical dilemmas surrounding AI research, including questions of consent, potential harm, and the evolving responses of LLMs to ethical inquiries. The Future of AI: Is the LLM bubble about to burst? We discuss the future of AI development, addressing concerns about emergent behaviors, the importance of Emotional Quotient (EQ) in AI, and the need for transparency and ethical guidelines. Key Takeaways: Learn about the innovative use of language models to replicate human behavior in social science research. Understand the benefits and challenges of integrating AI into education. Explore the ethical considerations of AI research and development. Gain insights into the future trajectory of AI and its potential impact on society. Don't miss this in-depth discussion on the transformative power of AI and its implications for the future of learning and work! 00:00 Introduction and Guest Welcome 01:04 Avi Yashchin's Early Career and Wall Street Experience 03:12 Entrepreneurial Journey and Clean Edison 03:33 AI in Education and IBM Watson 05:46 Founding Subconscious AI and Climate Change Experiments 07:01 Using Language Models for Social Experiments 16:06 Ethical Considerations and AI Limitations 22:01 Final Thoughts and Advice for the Future