Pondering AI

Dr. Erica Thompson, author of 'Escape from Model Land', discusses the flaws and biases in large language models like GPT and the importance of educating the public about their limitations. She emphasizes responsible usage of AI models, interdisciplinary collaborations, and societal implications for decision making in the future.

Roger Spitz reflects on Upskilling Human Decision Making in the age of AI.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.To learn more, check out Roger’s book series The Definitive Guide to Thriving on Disruption

Sheryl Cababa reflects on Systems Thinking in AI design.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Sheryl’s book Closing the Loop: Systems Thinking for Designers

Ilke Demir reflects on Generative AI (GAI) Detection and Protection. Highlights include defect detection, MyArtMyChoice tool for safeguarding copyrighted images, compensating artists for trained art models, and the significance of centering humans in AI research.

Professor J Mark Bishop reflects on large language models (LLM) and beyond.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.  

Henrik Skaug Sætra reflects on Environmental and Social Sustainability with AI.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Henrik’s latest book: Technology and Sustainable Development: The Promise and Pitfalls of Techno-Solutionism

Yonah Welker reflects on Policymaking, Inclusion and Accessibility in AI today.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.  

Guest reflects on human-AI relationships and perception, including emotional connections with chatbots. Discussion on working with generative AI tools and the ethical concerns. Challenge of making deliberate decisions about app usage. Exploring the future of human-AI interaction and the need for further research.

Patrick Hall discusses the evolving state of AI regulations, consumer awareness, and education. He highlights notable developments in the regulatory landscape, explores the dangers of generative AI, and emphasizes the importance of safety in AI-enabled tools. He also addresses the challenges of relying on AI systems and provides key elements for implementing AI technologies in regulated industries.

Ganes Kesari confronts AI hype and calls for balance, reskilling, data literacy, decision intelligence and data storytelling to adopt AI productively.                     Ganes reveals the reality of AI and analytics adoption in the enterprise today. Highlighting extreme divides in understanding and expectations, Ganes provides a grounded point of view on delivering sustained business value. Cautioning against a technocentric approach, Ganes discusses the role of data literacy and data translators in enabling AI adoption. Discussing common barriers to change, Kimberly and Ganes discuss growing resistance from technologists, not just end users. Ganes muses about the impact of AI on creative tasks and his own experiences with generative AI. Ganes also underscores the need to address workforce reskilling yet remains optimistic about the future of human endeavor. While discussing the need for improved decision-making, Ganes identifies decision intelligence as a critical new business competency. Finally, Ganes strongly advocates for taking a business-first approach and using data storytelling as part of the responsible AI and analytics toolkit.  Ganes Kesari is the co-founder and Chief Decision Scientist for Gramener and Innovation Titan. A transcript of this episode is here.