Could Agentic AI Be Your New Legal Intern?
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Manage episode 447826862 series 1109038
เนื้อหาจัดทำโดย New York City Bar Association เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก New York City Bar Association หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Presidential Task Force on AI and Digital Technologies members Wendy Butler Curtis and Robert Mahari are joined by Cai GoGwilt, founder of Ironclad, to discuss the power and potential of Agentic AI. Their conversation explores the definitions, capabilities, and notable limitations of the emerging Large Language Models. Building on Forbes’ “intern” analogy, the co-hosts highlight the ways in which Agentic AI can enhance productivity across several fields with its hyperintelligence and adaptability to complex tasks. Curtis, Mahari and GoGwilt conclude with thoughts on its future development, ethical considerations of its usage, and anecdotes of their most interesting encounters with these tools. If you’re interested in learning more about artificial intelligence, join us for related programs at the City Bar, including the UN Summit of the Future: International Regulation of AI on November 4 (https://services.nycbar.org/EventDetail?EventKey=TFDT110424) and the Artificial Intelligence in Health Care: An Overview of Laws, Policy, and Practices webinar CLE on November 6 (https://services.nycbar.org/EventDetail?EventKey=_WEB110624). Visit nycbar.org/events to find all of the most up-to-date information about our upcoming programs and events. 00:00 Introduction to Agentic AI 05:14 Defining Agentic AI 08:11 Rapid Fire Q&A 09:07 Capabilities and Limitations of Agentic AI 13:55 Open Source and Future Prospects 21:26 AI's Limitations in Legal Contexts 22:01 Debating AI's Reasoning Capabilities 26:02 Practical Applications of AI in Various Industries 28:24 AI in Legal Practice: Current and Future Uses 31:47 Ethical Considerations and Professional Responsibility 32:34 Optimism and Concerns About AI's Future 40:10 Engaging with Generative AI: Practical Tips 41:56 Best and Worst Uses of Generative AI 45:47 Conclusion and Final Thoughts
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