
Karen Hao
Senior AI editor at MIT Technology Review, discussing the impact of artificial intelligence on various industries.
Top 3 podcasts with Karen Hao
Ranked by the Snipd community

Jun 11, 2025 • 1h
Challenging AI Hype and Tech Industry Power | Book Talk
In this engaging discussion, guests Karen Hao, an award-winning journalist, Alex Hanna, Director of Research at DARE, and Emily M. Bender, a linguistics professor, dive into the hype surrounding artificial intelligence. They debunk misleading AI marketing, revealing its manipulative nature, and highlight the critical role of journalism in fostering public awareness. The trio explores AI's ties to colonialism and environmental issues while advocating for equitable tech practices. They emphasize the importance of empowerment and local narratives in shaping AI policy and challenging industry narratives.

Jun 9, 2025 • 47min
The Empire Strikes Back: Karen Hao on OpenAI as a Classic Colonial Power
Karen Hao, an award-winning journalist, dives deep into the controversial practices of OpenAI, likening it to the British East India Company. She argues that OpenAI’s facade of altruism masks a profit-driven empire that exploits vulnerable communities while causing environmental harm. The conversation unveils the risks of unchecked corporate power in AI, the historical parallels of technological colonialism, and the pressing need for ethical governance. Hao also critiques the rapid scaling strategy, suggesting an alternative approach prioritizing sustainability over profit.

Mar 8, 2022 • 44min
#10: Karen Hao, MIT Technology Review: Responsible AI
Karen Hao, Senior AI Editor at MIT Technology Review, dives deep into the concept of responsible AI. With her extensive background, she discusses the ethical development and societal implications of AI technologies, emphasizing the need for prioritizing people over profits. Karen shares insights on the policies of major tech companies and how they can mitigate harm in sensitive areas like healthcare. She also explores the importance of public involvement in shaping AI's future, highlighting both its risks and remarkable opportunities, like advancements in pharmaceuticals.