The AI Table

Jessica Talisman explores AI’s biggest challenges: bias, context, explainability, and responsible practices. She highlights the role of knowledge management, human augmentation, and AI’s broader societal and cultural impact. Key Takeaways AI bias stems from flawed training data, so businesses must prioritize context and knowledge management to address it. Responsible AI demands a human-centered ap...

Most organizations are still unprepared for the real challenges AI brings. This episode with Chief Data Officer Elena Alikhachkina cuts through the noise to tackle what actually matters: governance, accountability, and leadership in the age of intelligent systems. We explore why AI initiatives fail more often than they succeed—and how “shadow AI” is quietly introducing risk into even the most soph...

Sune Selsbæk-Reitz AI strategist and tech philosopher discusses the concept of promptism (outlined in his new book) and its impact on decision-making and critical thinking. He emphasizes the importance of using AI as a sparing partner rather than a substitute for human judgment in appropriate instances. The conversation delves into the dangers of AI fluency and the fight for meaning in the age of...

The conversation with Amber Ivey, author of "AI meets AI" covers the importance of AI literacy for kids and the need for AI guardrails for kids. It delves into the impact of AI on children's interactions, social media addiction, parental role in AI literacy, kids' perspectives on AI, policy at federal and state levels, AI literacy resources for parents, and the under-discussed risks of improper AI...

Reid Blackman dives into the urgent dilemmas of AI—from HR tools facing lawsuits for scraping social media data and discriminating against older job applicants, to big consulting firms publishing AI-generated reports with fabricated citations. He explores how these issues are reshaping trust, accountability, and even mental health. Blackman shares why he wrote  The Ethical Nightmare Challenge , ex...