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Ethical Nightmares, Agentic AI, and Building Real Responsible AI Programs

Open Data Science via YouTube

Overview

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Explore practical approaches to AI ethics and risk management in this 44-minute conference talk featuring Reid Blackman, Founder & CEO of Virtue and author of Ethical Machines. Discover why traditional "principles and pillars" approaches to AI ethics are failing and learn how to implement outcome-oriented frameworks that actually drive organizational change. Examine Blackman's transition from academic philosophy to AI ethics consulting and understand why responsible AI programs require more than high-level value statements. Delve into the "ethical nightmares" framework as a motivational tool for addressing AI risks, particularly as generative and agentic AI systems introduce unprecedented points of failure. Learn how AI systems create new pathways for familiar harms including bias, privacy breaches, and hallucinations, while exploring why generative AI dramatically reduces predictability and increases monitoring requirements. Understand the expanding risk surface area created by agentic AI and tool-using systems, and discover the critical importance of real-time monitoring, observability, and human-in-the-loop oversight. Master Reid's Ethical Nightmare Challenge using three simple questions and learn why responsible AI programs must begin at the project, team, or department level rather than waiting for slow enterprise-wide policies. Gain insights into ongoing user training requirements beyond one-time AI literacy modules and explore philosophical and societal concerns including digital duplicates, therapy bots, and human-AI emotional relationships that are shaping the future of AI ethics.

Syllabus

Ethical Nightmares, Agentic AI, and Building Real Responsible AI Programs with Reid Blackman

Taught by

Open Data Science

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