Explore the intersection of AI, deepfakes, and workplace dynamics with host Nichol Bradford and machine learning expert, business leader, and entrepreneur Tim Hwang. Senior leaders and HR executives can learn how to prepare for the challenges of AI-driven disinformation, build trust in an era of synthetic media, and develop agile response strategies. Discover why the future of workplace integrity may depend less on technology detection and more on fostering human connections and open communication across your organization.
Episode Guest
-
Tim Hwang
Tim Hwang is the author of Subprime Attention Crisis, a book about the financial bubble of digital advertising. Dubbed “The Busiest Man on the Internet” by Forbes Magazine, his current research focuses on the geopolitical aspects of computational power and machine learning hardware, and regulatory frameworks around online disinformation and misinformation. He previously served as General Counsel and VP of Operations at Substack, and was also the global public policy lead for Google on artificial intelligence and machine learning.
Episode Transcript
Coming soon!
Related Article
As AI transforms our landscape, an often-overlooked factor emerges as more crucial than ever before: trust. This article explores the multifaceted role of trust—from leadership to self-belief—and why fostering trust and civility might be our best defense against workplace misinformation.
Tune In On Your Favorite App
More from The AI+HI Project
Leverage these additional resources to help you harness the transformative potential of artificial intelligence (AI) combined with human ingenuity (HI).
SHRM’s AI+HI executive in residence summarizes AI’s role in creativity, sovereignty challenges, emerging jobs, and the future of human-AI collaboration.
SHRM’s AI+HI executive in residence summarizes career advice from LinkedIn’s co-founder, a human-human-AI collaboration model known as “vibe teaming,” and more.
SHRM’s AI+HI executive in residence offers her quick takes on why GenAI efforts stall, Apple’s LLM debate, and Google DeepMind CEO’s views on work’s future.