Dr. Joy Buolamwini, Artist-in-Chief and President of The Algorithmic Justice League, discusses her journey into AI ethics and the dangers of facial recognition technologies. She highlights the biases in existing models, the challenges of data collection, and the mission of the Algorithmic Justice League to advocate for algorithmic justice. The podcast also explores the connection between art and science in data work.

Jason Feifer, Editor in Chief of Entrepreneur Magazine, discusses the role of AI in entrepreneurship, its impact on industries and business models, the efficiency of legal work with generative AI, and strategies for leaders to adapt and manage change in the AI era.

Beena Ammanath, Global Head of the Deloitte AI Institute, discusses the importance of self-regulation and building trustworthy AI, exploring dimensions of trustworthiness, bias, fairness, and reliability in AI systems. The podcast also delves into operationalizing AI risks and the evolving regulatory landscape for AI.

Haris Butt, Head of Product Design at ClickUp, discusses the role of design in driving human-centered AI experiences, integrating AI into project management, the evolution of prompt-based interfaces, building trust and minimizing risks in AI project management, designing for large language models in AI, and the future of productivity in an AI ecosystem.

Trond Arne Undheim, Research Scholar in Global Systemic Risk at Stanford University, discusses the ongoing debate around AI as an existential risk. He emphasizes the need to separate hype from reality and explores the risks of runaway AI. The podcast also explores the trade-offs between open source and closed source AI, the impact of AI on the labor market, and the role of government institutions in responding to technological advancements.

Cassie Kozyrkov, Google's First Chief Decision Scientist, discusses the importance of stakeholder management and solving useful problems in data science. The podcast explores types of data science jobs, the importance of data quality, challenges in data stewardship and documentation, the democratization of data science, and the relationship between decision science and data science.

Tracy Daniels, Chief Data Officer at Truist, discusses the importance of diversity and inclusion in data teams. They explore the significance of representation, the negative consequences of not prioritizing diversity, and the value of feedback and creating a safe space for everyone to express their opinions. They also emphasize the role of executive buy-in, measuring the success of DEI programs, and recognizing and addressing the lack of diversity in organizations.

Reid Blackman, Founder & CEO at Virtue Consultants, discusses the importance of implementing AI ethically, concerns of bias in AI, the importance of accountability for AI decisions, data privacy and transparency in machine learning models, challenges of using black box models in critical situations, the need for transparency and explainability in AI ethics, and common mistakes in implementing responsible AI.

Cindi Howson, Chief Data Strategy Officer at ThoughtSpot, discusses the importance of AI literacy, the impact of generative AI on data teams, and the potential of generative AI in enterprise settings. She also explores how generative AI can automate data documentation and modeling processes, and emphasizes the need for upskilling and reskilling employees in the age of AI.

In this podcast, they introduce Data & AI Literacy Month and discuss its importance. They will be hosting events related to data and AI literacy throughout September, including a special edition of DataCamp radar with leaders in the field. They also mention an upcoming episode with Cindy Hausen, Chief Data Strategy Officer at ThoughtSpark, where they will dive into AI literacy and its connection to data literacy.