We’re bringing back an episode about trust and AI. In a world where the use of Artificial Intelligence is exploding, guest computer scientist Carlos Guestrin shares insights from the work he’s doing to support the development of trust between humans and machines. We originally recorded this episode in 2022, but the insights are just as if not more relevant today. We hope you’ll take another listen and enjoy.
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Chapters:
(00:00:00) Introduction
Russ Altman introduces the episode with guest Carlos Guestrin, a professor of computer science at Stanford, whose focus is bringing AI into broader use.
(00:02:58) Current Status of AI
The current capabilities of AI and machine learning and the widespread use and integration of these technologies.
(00:05:44) Deep Dive into Trust and AI
Three core components of trust in AI and how these factors influence the adoption and efficacy of AI systems.
(00:09:43) Technical Challenges in Implementing Trust
The challenges of translating the abstract concepts of trust into practical, implementable AI features.
(00:14:32) Enhancing AI Transparency and Generalization
Methods to improve AI’s generalisation capabilities and transparency.
(00:18:00) The Role of Open-Source in AI Development
The impact of open-source software on the AI field, highlighting the benefits of shared knowledge and collaborative advancements.
(00:22:34) AI in Healthcare
Healthcare and the use of AI in enhancing data-driven decisions in medical treatments.
(00:27:11) Conclusion
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