Pondering AI

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. 

Dr. Christina Colclough discusses tech determinism, human labor value, managerial fuzz, collective will, digital rights, and participatory AI deployment. She highlights the disconnect between public fascination and worker experience, the neglect of the labor market in AI regulation, and the need for critical analysis. They explore regulating AI systems, the importance of inclusive governance and transparency, and the protection of labor while adapting to technological changes.

Reid Blackman, AI ethics expert, discusses practical approaches to AI ethics, debunking ethicists as moral priests, balancing advocacy vs. activism, and distinguishing AI ethics from ethics writ large. He emphasizes the importance of language, justified buy-in, and concrete ethical guidance. The chapter also explores the challenges of fanaticism and the need for a flexible ethics framework for emerging technologies.

Ilke Demir depicts the state of generative AI, deepfakes for good, the emotional shelf life of synthesized media, and methods to identify AI-generated content.Ilke provides a primer on traditional generative models and generative AI. Outlining the fast-evolving capabilities of generative AI, she also notes their current lack of controls and transparency. Ilke then clarifies the term deepfake and highlights applications of ‘deepfakes for good.’Ilke and Kimberly discuss whether the explosion of generated imagery creates an un-reality that sets ‘perfectly imperfect’ humans up for failure. An effervescent optimist, Ilke makes a compelling case that the true value of photos and art comes from our experiences and memories. She then provides a fascinating tour of emerging techniques to detect and indelibly identify generated media. Last but not least, Ilke affirms the need for greater public literacy and accountability by design.Ilke Demir is a Sr. Research Scientist at Intel. Her research team focuses on generative models for digitizing the real world, deepfake detection and generation techniques.A transcript of this episode is here.