Description
Valencio Cardoso and Roman Bercot are joined by Di Le, an AI ethicist renowned for her work in responsible AI development. Di shares her journey from UX design in video games to conducting impactful research in robotics and AI ethics. She discusses the importance of human-centered AI, how to bridge the technological divide, and the pragmatic approach of responsible AI. They dive into the controversy around Adobe's terms of service and the role of AI in shaping future job landscapes. Stay tuned to learn how organizations and individuals can better prepare for the evolving AI-driven world and gain insights on skills crucial for the future. If you enjoyed this episode, please subscribe and share it with someone who could benefit from this insightful conversation!
00:00 Balancing Automation and Autonomy w/ Di Le, AI Ethicist
00:46 Meet Di Le: AI Ethicist and Innovator
02:04 Di Le's Journey into Responsible AI
04:33 Understanding Ethical, Responsible, and Human-Centered AI
07:07 Current Challenges in AI: Adobe's Controversial Terms
10:21 The Technological Divide and Accessibility
11:53 AI's Impact on Jobs and the Future Workforce
22:23 Balancing Human Workers and AI Automation
26:42 Closing Thoughts and Resources
To learn more about Di Le and her work, visit her personal website or follow Di on LinkedIn.
Find us on X, Instagram, and check out our website for more episodes at SociallyConsciousAI.com.
If you enjoyed this episode, don’t forget to subscribe and leave a review! It helps others find the show.
Di's helpful resource links:
• Getting started in AI:
◦ AI for Everyone
◦ Generative AI for Everyone Even if you're well-versed in AI, these 7-8 hour courses are valuable for understanding how to communicate AI concepts to a general audience.
• Google’s Quickstart Guide to Prompting:
◦ Download the Guide
• AI Papers & Reports:
◦ Microsoft Report on AI and Productivity (Pt 2)
◦ Pt 1: AI at Work
◦ Practices for Governing Agentic AI Systems
◦ Should Agentic Conversational AI Change How We Think About Ethics?
• AI Governance:
◦ Summary of the EU AI Act
◦ Summary of the White House Executive Order on AI
• Favorites:
◦ Nooscope: A Topographical Analysis of Machine Learning
◦ MAD 2024 AI Landscape A visual landscape of AI’s growth, published annually since 2018.
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