
Sign up to save your podcasts
Or


In 2017, before generative AI became a household term, Jen Gennai drafted Google’s original AI Principles. She was part of the effort to define what responsible AI should mean inside one of the most influential technology companies in the world. Now, years later, she is asking a more uncomfortable question. While companies race to deploy AI and governments work toward regulatory frameworks, who is seriously grappling with what this technology is doing to people and how they think, learn, and communicate? Jen argues that we are making progress on global rules and regulations. But we may NOT be moving fast enough on the human consequences. As an AI responsibility expert and consultant, she spends her time training leaders not just to adopt AI, but to build resilient cultures, to capture gains without eroding human capacities that make those gains meaningful.
02:29 How Google’s original AI Principles came about
07:13 Working cross-industry to up-level the market
08:02 History may not repeat, but it rhymes
09:35 Regulation: rules versus principles
13:08 How federal law could solve some problems
18:18 AI’s “harm categories”
24:03 Why we need to think more about human impact
26:49 Skills for the future: Resilience, analytics, communication, creative problem-solving
31:38 Why we need more focus on training programs
38:30 Should you say your business is AI-first? Maybe not.
40:43 Defining what “good” looks like
42:20 Leading means building psychological safety
📚Resources:
T3 https://t3-consultants.com/
Google AI Safety Principles https://ai.google/principles/
NIST AI Risk Management Framework https://www.nist.gov/itl/ai-risk-management-framework
EU AI Act https://artificialintelligenceact.eu/
Latanya Sweeney’s 2016 keynote at the Grace Hopper Celebration https://www.youtube.com/watch?v=UBzP0NouiGo
Article describing Latanya Sweeney’s findings on racism in Google ads https://racismandtechnology.center/wp-content/uploads/latanya-sweeney-discrimination-in-online-ad-delivery.pdf
The U.S. Government’s AI Literacy Framework https://www.dol.gov/newsroom/releases/eta/eta20260213
MIT’s Technology Review https://www.technologyreview.com/
HBR https://hbr.org/
🌟 Where to find Jen:
On LinkedIn https://www.linkedin.com/in/jen-gennai-b333933/
🙋🏻♀️Where to find Women in Product:
On LinkedIn https://www.linkedin.com/company/women-in-product/posts/
Website https://womenpm.org/
Join the Community https://womenpm.org/wip-community/
By Women In Product4.9
1212 ratings
In 2017, before generative AI became a household term, Jen Gennai drafted Google’s original AI Principles. She was part of the effort to define what responsible AI should mean inside one of the most influential technology companies in the world. Now, years later, she is asking a more uncomfortable question. While companies race to deploy AI and governments work toward regulatory frameworks, who is seriously grappling with what this technology is doing to people and how they think, learn, and communicate? Jen argues that we are making progress on global rules and regulations. But we may NOT be moving fast enough on the human consequences. As an AI responsibility expert and consultant, she spends her time training leaders not just to adopt AI, but to build resilient cultures, to capture gains without eroding human capacities that make those gains meaningful.
02:29 How Google’s original AI Principles came about
07:13 Working cross-industry to up-level the market
08:02 History may not repeat, but it rhymes
09:35 Regulation: rules versus principles
13:08 How federal law could solve some problems
18:18 AI’s “harm categories”
24:03 Why we need to think more about human impact
26:49 Skills for the future: Resilience, analytics, communication, creative problem-solving
31:38 Why we need more focus on training programs
38:30 Should you say your business is AI-first? Maybe not.
40:43 Defining what “good” looks like
42:20 Leading means building psychological safety
📚Resources:
T3 https://t3-consultants.com/
Google AI Safety Principles https://ai.google/principles/
NIST AI Risk Management Framework https://www.nist.gov/itl/ai-risk-management-framework
EU AI Act https://artificialintelligenceact.eu/
Latanya Sweeney’s 2016 keynote at the Grace Hopper Celebration https://www.youtube.com/watch?v=UBzP0NouiGo
Article describing Latanya Sweeney’s findings on racism in Google ads https://racismandtechnology.center/wp-content/uploads/latanya-sweeney-discrimination-in-online-ad-delivery.pdf
The U.S. Government’s AI Literacy Framework https://www.dol.gov/newsroom/releases/eta/eta20260213
MIT’s Technology Review https://www.technologyreview.com/
HBR https://hbr.org/
🌟 Where to find Jen:
On LinkedIn https://www.linkedin.com/in/jen-gennai-b333933/
🙋🏻♀️Where to find Women in Product:
On LinkedIn https://www.linkedin.com/company/women-in-product/posts/
Website https://womenpm.org/
Join the Community https://womenpm.org/wip-community/

30,666 Listeners

4,345 Listeners

111,948 Listeners

56,508 Listeners

9,532 Listeners

370,110 Listeners

27,775 Listeners

18,053 Listeners

19,045 Listeners

148 Listeners

4,480 Listeners

11,682 Listeners

19,524 Listeners

15 Listeners

12,143 Listeners