Rita Khan is a board member and advisor for a variety of organizations including a global consulting firm, a marketing agency, an internationally recognized Art Center. She was recently the Chief Consumer Officer at Optum, a UnitedHeath Group company that provides technology services, pharmacy-care services and various direct healthcare services. 

Rita has also served as Chief Digital Officer for the Mayo Clinic and has worked extensively as an executive in consumer retail, healthcare and digital services.  

In this episode Rita shares her journey leading digital transformation in retail and healthcare. She shares her insights on managing teams through transitions and how AI is impacting healthcare. Rita also shares how she is transitioning to a portfolio career - what that looks like and how she has prepared and through about it.

In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. 

00:00 Welcome and Intro

01:31 Retail Roots to Product

04:26 Early Product Pioneers

06:44 Jump to Healthcare

09:06 Mayo Digital Officer Role

12:22 Culture and Change Agent

15:53 Measuring Outcomes in Health

18:15 Shipping Fast in Regulated

21:29 AI in Healthcare Today

24:32 Agentic Future for Patients

26:13 Trust and Transparency

26:52 Leading Through AI Change

29:35 Building a Portfolio Career

32:49 Designing the Flywheel

35:41 Whole Self and Networks

39:11 Burnout and Boundaries

41:54 Empathy in High Pressure

44:25 Women Shaping AI Future

46:48 Courage and Finding Voice

48:56 Sponsors and Mentors

50:08 Healthcare Automation Vision

51:21 Final Charge to Lean In

✨Where to find Rita:

• On LinkedIn

💫 Where to find Carmen:

• On LinkedIn 

🙋🏻‍♀️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/

• Product Rising on Apple Podcasts https://podcasts.apple.com/us/podcast/product-rising/id1584224561

• Product Rising on Spotify https://open.spotify.com/show/7bcyVhpdhw0hbiRr6O4h1U

• Product Rising on YouTube https://www.youtube.com/playlist?list=PLijcNLDj_QE2ge6Wqeh0MLx_qMKwot--9

In this episode of Product Rising's AI Safety, Ethics & Responsibility series, host Shannon Peavey sits down with Kelly Anderson, founder and CEO of DyeConverter, an AI-powered platform helping food and beverage companies replace synthetic dyes with natural alternatives.

Kelly's path to entrepreneurship is anything but typical. A chef-technologist and the first chef in the world certified by MIT in AI and Machine Learning, she has spent more than a decade leading innovation, R&D, and product development initiatives for brands including Nestlé, Disney, Impossible Foods, Panera Bread, Starbucks, and US Foods.

As regulators, consumers, and food manufacturers grapple with the future of food ingredients, Kelly saw an opportunity to apply AI to one of the industry's most complex challenges: reformulating products that rely on synthetic colors.

If you've ever wondered how artificial intelligence can move beyond content generation and help solve real-world scientific and operational challenges, this episode is for you.

00:00 Introduction to Kelly Anderson and DyeConverter

02:08 What is a "chef-technologist"?

03:01 How culinary training shaped Kelly's approach to AI and innovation

04:08 From executive chef to food innovation leader

05:28 Discovering a broken food system and finding an AI opportunity

08:10 Why replacing synthetic food dyes is harder than it sounds

10:11 Health, regulatory, and manufacturing risks of natural color alternatives

12:41 How DyeConverter works

14:20 The role of the human in the loop

17:55 Flavor transfer, consumer expectations, and reformulation challenges

19:12 Which food dyes are being phased out?

20:40 AI-powered color matching and the Color Studio

22:42 Data sharing, trade secrets, and AI collaboration in food

25:01 Why the food industry needs food people building food technology

26:28 Beyond food dyes: the future of ingredient reformulation

28:05 Ultra-processed foods, consumer demand, and healthier products

30:22 Why business incentives matter more than good intentions

31:34 Food regulations around the world and lessons from Europe

34:07 What every industry should know about AI adoption

35:40 Consumer rights, transparency, and AI disclosure

36:21 How food companies are using AI today

38:14 AI, sustainability, agriculture, and the future of farming

39:32 Supply chain transparency and food traceability

40:38 Predictions for food, health, and AI over the next decade

42:18 Will healthier food become more affordable?

43:38 Resources for following innovation in food and CPG

44:18 Kelly's favorite cuisine and why she loves classic French cooking

45:15 Closing remarks

📚 Resources

Where to find Kelly Anderson:

• Kelly Anderson on LinkedInhttps://www.linkedin.com/in/kellyai/

Where to find DyeConverter

• DyeConverterhttps://dyeconverter.com/

Learn More

• US Foods https://www.usfoods.com/

• Nestle https://www.nestle.com/

• U.S. Regulatory Requirements https://www.fda.gov/news-events/press-announcements/hhs-fda-phase-out-petroleum-based-synthetic-dyes-nations-food-supply

• U.S. FSMA  Food Traceability Requirement https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-requirements-additional-traceability-records-certain-foods

• Grow to Market Substack https://substack.com/@growtomarket

• Julia Child’s Coq au Vin recipe https://www.theendlessmeal.com/julia-childs-coq-au-vin/

Where to find our hosts:

• Shannon Peavey https://www.linkedin.com/in/spmad/

🙋🏻‍♀️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/

• Product Rising on Apple Podcasts https://podcasts.apple.com/us/podcast/product-rising/id1584224561

• Product Rising on Spotify https://open.spotify.com/show/7bcyVhpdhw0hbiRr6O4h1U

• Product Rising on YouTube https://www.youtube.com/playlist?list=PLijcNLDj_QE2ge6Wqeh0MLx_qMKwot--9
  

What separates people who achieve remarkable results with AI from those who struggle to get reliable, accurate, or useful outcomes from the exact same tools?

In this episode of Product Rising, host Shannon Peavey sits down with Stanford researcher and BigSpin AI founder Moritz Sudhof to explore one of the most overlooked challenges in AI adoption: the human factor.

Drawing on research conducted with Stanford professor and Bigspin co-founder Chris Potts, Moritz shares surprising findings from the analysis of tens of thousands of real-world AI conversations. Their work reveals that the difference between successful and unsuccessful AI use often has less to do with the model itself and more to do with how people interact with it.

Why do expert users encounter more AI failures than novices, yet achieve dramatically better outcomes? Why do so many users unknowingly accept flawed outputs? And what skills, behaviors, and product design choices can help close the growing divide between AI power users and everyone else?

This conversation explores the emerging field of AI fluency, the risks of treating AI like an oracle or a vending machine, and why the future of successful AI products depends on designing not just the model, but the interaction between humans and machines.

Moritz is part of our exclusive Product Rising series on AI Ethics, Safety & Responsibility, where host Shannon Peavey speaks with researchers, builders, policymakers, and practitioners working to shape a future where AI delivers meaningful value while preserving human judgment, agency, and trust.

Whether you're a product leader, founder, builder, manager, or everyday AI user, this episode offers practical insights into how to get better outcomes from AI and why your own behavior may be one of the most important variables in the equation.

CHAPTERS

00:00 Why Some People Get Better Results from AI

01:22 Moritz's Journey: From Language Research to AI Products

03:42 AI Is Not a Human Replacement

06:49 The Coaching Experiment That Changed Everything

09:14 Same AI, Different Outcomes

10:43 Designing User Behavior, Not Just AI Behavior

12:13 The Research Behind AI Fluency

15:14 The User Fluency Paradox

17:01 Why Expert Users See More Failures

19:18 Invisible Failures and Silent Mistakes

21:12 The Skills Every AI User Needs

21:55 Embrace the Skeptic Mindset

23:22 The Biggest Misconceptions About AI

25:42 The Vending Machine Problem

26:16 The Growing Divide Between AI Users

28:08 Introducing Bigspin

30:47 Bringing Product Builders Back Into the Room

32:33 Why AI Adoption Isn't a Tool Rollout

34:45 Passengers vs. Pilots

36:24 Improving Your AI Outcomes Today

37:49 What Product Builders Should Demand

40:16 Advice for Product Leaders Building AI Products

42:00 We're Designing Interactions Now

43:15 Final Thoughts and Where to Learn More

📚 Resources

• Bigspin AI https://bigspin.ai/

• Stanford University https://www.stanford.edu/

• BetterUp https://www.betterup.com/

Where to find Moritz Sudhof:

• Moritz Sudhof on LinkedIn https://www.linkedin.com/in/sudhof/

Where to find Chris Potts

- Chris Potts on LinkedIn https://www.linkedin.com/in/christopher-potts-505611321/ -Chris Potts at Stanford https://web.stanford.edu/~cgpotts/

Where to find the paper Chris and Moritz authored called “A Paradox on AI Fluency” - https://arxiv.org/abs/2604.25905 

Where to find our hosts:

• Shannon Peavey https://www.linkedin.com/in/spmad/

• Elizabeth Ames https://www.linkedin.com/in/elizabethames/

🙋🏻‍♀️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/

• Product Rising on Apple Podcasts https://podcasts.apple.com/us/podcast/product-rising/id1584224561

• Product Rising on Spotify https://open.spotify.com/show/7bcyVhpdhw0hbiRr6O4h1U

• Product Rising on YouTube https://www.youtube.com/playlist?list=PLijcNLDj_QE2ge6Wqeh0MLx_qMKwot--9

How do we introduce AI into high-stakes human environments without losing trust, safety, judgment, or effectiveness?

This episode features a conversation with Lacey Picazo, CEO and founder of ZoCo Design, a research and design consultancy focused on helping organizations build human-centered digital products and AI experiences. Lacey, a professional product designer by trade, is a serial entrepreneur with strong opinions on the ways customer behavior interplays with AI and can change depending on the application or the environment.  With host Shannon Peavey, Lacey discusses a case study where her firm worked with mTuitive, a leader in digital pathology and cancer care, in order to illuminate the way behavioral science, workflow design, and human-centered product thinking can shape whether AI succeeds or fails in clinical environments.

Rather than treating AI adoption as a purely technical challenge, this episode explores how clinicians and patients respond emotionally, cognitively, and behaviorally when AI enters decision-making processes, and why “more automation” is not always better.

This is a thoughtful discussion about innovation, responsibility, understanding the rewards - as well as the risks - of a future that is reckoning with finding the right formulas for human-machine collaboration. Importantly, it also addresses the ways we can support the next generation in an AI-shaped world.

Lacey is part of our exclusive new Product Rising podcast series, where host Shannon Peavey explores the world of AI Ethics, Safety & Responsibility .

00:00 Intro to the topic: AI enters healthcare

01:33 Why healthcare is different from other industries

04:05 Consumer product thinking doesn't always work

05:54 The stakeholder problem: patients, providers, payers, and more

07:02 Trust is kind of a big deal

08:29 Today it's easy to build, but still not easy to get adoption

09:55 Tempted to skip testing? Don't.

12:16 Why human behavior matters more than product features

14:23 Understanding clinicians as users

18:09 Where AI creates hesitation and bad friction

20:09 Professional identity: "Am I the kind of person who uses this?"

21:14 The mTuitive cancer care case study

24:21 Challenging assumptions before building

26:18 How clinician research actually works

28:31 What clinicians really want from AI

30:44 Will resistance to AI fade over time?

32:31 Finding the balance between efficiency and safety

34:23 Why some friction is actually good

36:40 Are companies overestimating automation?

38:35 The skill every AI product leader still needs

40:05 How to build customer intimacy in the AI era

42:56 Ambient listening and the unintended consequences of AI

44:22 The food bank story: how fear shapes behavior

45:58 Slow down: AI's hidden human costs

46:55 Closing thoughts 

📚Resources:

• ZoCo Designhttps://zocodesign.com/

• ZoCo Design’s mTuitive Case Study https://zocodesign.com/case-studies/mtuitive-case-study

• mTuitive https://www.mtuitive.com/
  

• Melissa Perri https://www.linkedin.com/in/melissajeanperri/

• Teresa Torres https://www.linkedin.com/in/teresatorres/

• Women in Product’s Podcast Episode with Teresa Torres https://podcasts.apple.com/us/podcast/continuous-discovery-with-teresa-torres/id1584224561?i=1000672408840

• Shreyas Dosi’s Maven course https://maven.com/shreyas-doshi/product-sense?promoCode=MAVEN100&promoCode=MAVEN100

Where to find Lacey:

• Lacey Picazo, ZoCo Design https://www.linkedin.com/in/laceypicazo/

Where to find our hosts:

• Shannon Peavey https://www.linkedin.com/in/spmad/

🙋🏻‍♀️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/

• Product Rising on Apple Podcastshttps://podcasts.apple.com/us/podcast/product-rising/id1584224561

• Product Rising on Spotify https://open.spotify.com/show/7bcyVhpdhw0hbiRr6O4h1U

• Product Rising on YouTube https://www.youtube.com/playlist?list=PLijcNLDj_QE2ge6Wqeh0MLx_qMKwot--9

Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead. 

Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations. 

Marty is the author of influential books on the topic of product management and product teams including 

• Inspired: How to Create Tech Products Customers Love 

• Empowered: Ordinary People, Extraordinary Products.

• Transformed: Moving to the Product Operating Model 

Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders..

In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. 

Your AI Product Coach

00:00 Reckoning for Product

03:11 GenAI Changes the Stakes

07:11 Feature vs Empowered Teams

09:57 Build to Learn vs Earn

12:18 Prototyping Tools Boom

13:37 New PM Litmus Test

16:05 Why Coaching Fails

20:57 AI Coaching Tipping Point

23:58 Prompting for Product Model

27:30 Load Strategic Context

28:19 Strategic Context Inputs

29:23 Project Model Prompts

30:52 AI Coaching Limits

34:58 Why Humans Still Matter

38:42 What Coaching Looks Like

39:25 Building Product Sense Fast

42:01 Frameworks For Real Work

45:23 Adoption Curve Reality

49:13 Career Advice And Wrap

📚Resources:

• SVPG Product Coaching and AI

• Configuring Your Model As Product Coach - an example of how to get started using an AI Model to provide product coaching

✨Where to find Marty:

• On LinkedIn

• Silicon Valley Product Group (SVPG) Website & Newsletter sign up 

💫 Where to find Carmen:

• On LinkedIn 

🙋🏻‍♀️Where to find Women in Product:

• On LinkedIn 

• Website https://womenpm.org/

• Join the Community https://womenpm.org/wip-community/
  

There is a lot of debate about the state of the job market today. We definitely hear a lot about layoffs in the big tech companies and also about AI eliminating positions. But AI may be having a bigger impact in the requirements for specific roles and even perhaps new types of roles. We will be having periodic conversations with leading recruiters, hiring managers, and others about the evolving job market and what it takes to get hired/noticed. 

Our first conversation is with Sally Thornton, CEO & Founder of Forshay, a firm that combines Executive recruiting with interim experts across Finance, HR, and Operations, and by aligning culture and leadership development skills to optimize team performance.

02:17 Forshay Firm Overview

03:27 Job Market Reality Check

06:09 Entry Level Pipeline Crunch

07:44 Where Hiring Is Growing

08:33 What Employers Want Now

09:56 Proving Curiosity in Interviews

11:34 Influence as a Core Skill

12:38 AI Transparency and Flatter Teams

14:47 Fractional Leadership Explained

19:36 How Orgs Are Reshaping for AI

22:43 The Rise of the AI Scout

24:55 Building an AI Experiment Team

25:43 Choosing Tools That Fit

27:16 AI in Hiring and Resume Filters

29:19 Beating the Rejection Machine

31:36 Community as Career Support

32:14 AI as Reflective Hiring Partner

34:37 Gut Instinct Versus Data

37:40 Future Proofing Through Community

39:56 Give More and Experiment Often

41:16 Tools That Reduce Overwork

43:42 Wrap Up and Where to Follow

📚Resources:

• To Sell is Human, Daniel Pink

🌟 Where to find Sally:

• On LinkedIn https://www.linkedin.com/in/sallythornton/

• Forshay: https://forshay.com

🙋🏻‍♀️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/

We are reckoning with truths that are a bit uncomfortable. AI is not just a tool, but something people are relating to - personally. For kids and teens, we’re finding that that can be extremely dangerous.

In this episode, Shannon Peavey speaks with Tracy Pizzo Frey, a veteran technology leader including 11 years at Google where she oversaw Responsible AI for Google Cloud. As a consultant, she worked with Common Sense Media to develop a system for assessing the risks of large language models and AGI, with a particular focus on kids and teens.

Tracy brings deep technical experience and knowledge of how technology shapes behavior. Drawing on lessons from social media and emerging research, she explores what feels different about AI.

For young people who are still developing social and emotional skills, these interactions may have unique implications. AI systems are responsive and engaging, but they do not challenge users or help them navigate real-world complexity in the same way humans do. Over time, that difference may influence how teens build coping skills, relationships, and a sense of self.

Through her work with Common Sense Media, Tracy has evaluated leading AI systems and reached some important conclusions. Today’s models are not designed to serve as mental health companions for kids or teens, even though many young people are already engaging with them in ways that resemble emotional support.

Tracy shares how these assessments were created, what they measure, and what they reveal about the current state of AI safety. She offers a grounded perspective on building & using these technologies responsibly, especially when younger users are already deeply involved..

00:20 AI’s effect on kids

02:07 Why harms are specific to kids & teens

04:50 AI is not a search engine

07:27 Kids & teachers are often earliest adopters

08:06 Tech companies know more than they let on

09:15 Common Sense Media’s risk assessment project

09:57 Let’s not repeat mistakes

11:24 Tracy's involvement

13:11 Set your charter

14:50 Bring diverse, multi-disciplinary teams

16:25 Why psychological safety is important

17:38 Distilling masses of information into risk assessments

18:48 Why hype matters

20:30 How the team looked at social media

23:20 Early assessment of potential harms

25:10 Character.ai as precursor to interaction with LLMs

26:00 ‘Everything in the whole wide world’

27:13 Why kids are different

32:18 The danger of so-called frictionless relationships

33:02 The best way to test

36:50 Some surprising findings

39:08 How tech can reshape a worldview

41:02 There are good people, but - business models

43:30 Know the tradeoffs

45:07 The fact-to-fiction scale

46:30 Some positivity

48:00 Books, lawsuits, and resources

📚Resources:

• Common Sense Media (CSM) AI Overview https://www.commonsense.org/ai

• CSM’s Parents’ Guide https://www.commonsensemedia.org/articles/parents-ultimate-guide-to-generative-ai

• CSM’s Parents’ guide to AI Companions & Relationships https://www.commonsensemedia.org/articles/parents-ultimate-guide-to-ai-companions-and-relationships

• Google’s AI Principles https://ai.google/principles/

• Social Media’s Harmful Effects on Children https://www.yalemedicine.org/news/social-media-teen-mental-health-a-parents-guide

• AI & Everything in the Whole Wide World benchmark study https://sites.rutgers.edu/critical-ai/wp-content/uploads/sites/586/2022/01/Bender_AI-and-Everything-in-the-Whole-Wide-World-Benchmark.pdf

• Shannon Vallor’s research https://edwebprofiles.ed.ac.uk/profile/shannon-vallor

• Empire of AI by Karen Hao https://www.penguinrandomhouse.com/books/743569/empire-of-ai-by-karen-hao/

Where to find Tracy:

• Tracy Pizzo Frey, Restorative AI https://www.linkedin.com/in/tracy-frey/

Where to find our host:

• Shannon Peavey https://www.linkedin.com/in/spmad/

🙋🏻‍♀️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/

Gyanda joins Carmen Palmer for this episode in our monthly series, In The Lead. 

Gyanda Sachdeva is VP of Product Management at LinkedIn where she currently leads the Consumer Experience team. She has over 15 years of product experience across a wide variety of domains including advertising, subscriptions, marketplaces and payments. 

In this episode Gyanda shares her insights into managing product teams through the transition to AI and the changing role of PM. She also shares her personal career journey and the challenges of growing from an APM through individual contributor, group manager, director and now VP.

In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. 

Leading the Transition to AI in Product

00:00 Meet Gyanda at LinkedIn

02:34 Career Journey to Product

05:01 Long Tenure Lessons

08:11 Unlearning as a Leader

11:02 AI Shift Moment

14:35 Experimentation Over Roadmaps

19:36 Full Stack Building Culture

22:50 Trust Guardrails and Agents

24:44 Associate Product Builder Program

25:48 Early Adopters Drive ROI

26:20 Mentorship and Product University

28:26 Leaders Get Everyone In

30:42 Scaling AI Enablement

34:13 Keeping Up With Velocity

37:27 Diversity Access and Role Models

40:25 Three Day AI Jumpstart

43:30 Product Launch Gone Wrong

46:26 Daily Tools and Language Barriers

48:12 Embrace the Skill Shift

📚Resources:

• Statistics on job skills change by 2030: https://economicgraph.linkedin.com/research/work-change-report

• A guide for new grads on job trends: https://news.linkedin.com/2026/Grads-Guide-2026 

✨Where to find Gyanda:

• On LinkedIn

💫 Where to find Carmen:

• On LinkedIn 

🙋🏻‍♀️Where to find Women in Product:

• On LinkedIn 

• Website https://womenpm.org/

• Join the Community https://womenpm.org/wip-community/
  

In this episode, host Shannon Peavey speaks with Professor Rebecca Hinds, PhD, a Stanford-trained organizational behavior expert and author of Your Best Meeting Ever. Rebecca, who runs the Glean Work AI Institute, explains why the future of AI at work is not about squeezing more productivity out of individuals, but about strengthening organizations as a whole. She shares her system for applying design principles to create effective meetings and illuminates the ways these can help leaders decide when technology enhances collaboration and when it risks undermining human trust, creativity, and emotion. She also highlights a growing body of research on how AI can expand access to insight and make work more effective – though today, she says, many organizations are getting it wrong. Instead of imposing AI from the top down, she argues that companies should empower employees to experiment, and that they should tolerate and even celebrate failure. Importantly, she says, organizations need to establish thoughtful guardrails that allow people to discover how these tools can truly help teams become more effective.

01:56 First things first, the bad news on AI and meeting culture

03:12 The good news on AI and meeting culture

05:29 Why leaders need to think about meetings holistically

07:10 Seven design principles to appy to meeting design

10:16 The “Four-D, CEO” test for meetings

13:41 Where AI can excel

18:02 Thinking differently about human roles

19:18 Why we should worry about “digital twins”

20:45 Keeping human emotions in mind

23:05 What can happen if you deprioritize people

23:30 Psychological safety at work, and with AI at work

26:09 The critical need to have AI policies

28:30 Enabling employees to find the value in AI

30:54 Tolerating, even celebrating failure

33:48 Collaboration with AI: an individual experience

36:36 The future is managing agents

37:38 Hope for a future of unparalleled insights

40:26 Using AI to help the organization, rather than the individual

42:48 Sharing resources and research

📚Resources:

• Rebecca Hinds https://www.rebeccahinds.com/

• Stanford University http://www.stanford.edu

• The Glean Work AI Institute https://www.workai.institute

• Rebecca’s book, “Your Best Meeting Ever” https://www.rebeccahinds.com/book

• Organizational psychologist Bob Sutton https://bobsutton.net/about-bob/

• Harvard Business School professor Amy Edmonson

https://amycedmondson.com/about/

• Wharton School of Business Professor Ethan Mollick https://x.com/emollick?lang=en

• Charter newsletterhttps://www.charterworks.com/

🌟 Where to find Rebecca:

• On LinkedIn: https://www.linkedin.com/in/rebecca-hinds/

🙋🏻‍♀️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/
  

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/