B The Way Forward

AnitaB.org
  • 4.8 (18)
  • Technology
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B The Way Forward is an action-driven conversation about systemic change—how it happens, who drives it, and what it really takes to make an impact. Hosted by AnitaB.org CEO, and battle-tested leader in tech and equity, Brenda Darden-Wilkerson, the show gives listeners the tools they need to step off the sidelines and shape the future themselves. B The Way Forward Season 2 kicked off with a central question: do you change the system from within, or do you have to break it to build something better? Now, in our second half of the season we'll celebrate something women often feel they can’t admit to in the tech world - failure. Through candid conversations with leaders at the top of the tech industry the audience gets authentic, actionable advice that they can apply to their own careers. Thoughtful, incisive and full of Brenda’s warmth and humor, B the Way Forward is human conversations in a digital world. --- At AnitaB.org, our mission is to enable and equip women technologists with the tools, resources, and knowledge they need to thrive. Through innovative programs and initiatives, we empower women to chart new paths, better prepared to lead, advance, and achieve equitable compensation. Because when women succeed, they uplift their communities and redefine success on their terms, both professionally and personally. --- Connect with AnitaB.org Instagram - @anitab_org Facebook - /anitab.0rg LinkedIn - /anitab-org And for more ways that you can be the way forward visit anitab.org --- Our guests contribute to this podcast in their personal capacity. The views expressed in this interview are their own and do not necessarily represent the views of Anita Borg Institute for Women and Technology or its employees (“AnitaB.org”). AnitaB.org is not responsible for and does not verify the accuracy of the information provided in the podcast series. The primary purpose of this podcast is to educate and inform. This podcast series does not constitute legal or other professional advice or services.

  1. 5d ago

    Questioning the System You’re Inside ft Dr. Sue Black, OBE

    What if the biggest thing standing between you and your future isn’t your ability, but whether you believe you belong there? In this episode, host Brenda Darden Wilkerson and Sue talk about how a shy young researcher who dreaded networking found her people at a Women in Science conference in Brussels, then came home and founded BCS Women. Sue shares how she learned that more than 80% of the roughly 10,000 people at Bletchley Park were women, and how a three-year campaign helped keep it open. The campaign ran on a petition, a letter to The Times, a BBC interview, and one tweet from Stephen Fry that sent her blog from 50 hits a day to 8,000. The conversation then turns to AI. Sue describes a study her team ran on early large language models: they asked the models to finish “men can” and “women can” 10,000 times each, and the results were very different. She and Brenda talk about who decides what counts as “normal” in training data, why Sue shows her first-year Durham students Coded Bias, and why she believes technology owes society nothing while the people building it owe everyone a great deal. If you’ve ever been the only one in the room, wondered whether your background disqualified you, or wanted to fix something everyone else had accepted, Sue’s story is a reminder that you can start where you are. We Talked About A fast-track maths course, a computing degree, and a PhD she didn’t fully understand How a three-year campaign, a letter to The Times, and one tweet from Stephen Fry helped secure £4.6 million to save Bletchley Park, where more than 80% of the codebreakers were womenWhat happened when Sue’s research team asked GPT-2 and GPT-3 to complete “men can” and “women can” 10,000 times eachWhy Sue says technology owes society nothing, and why the people building it owe everybody a lot Connect with Sue on LinkedIn Chapters: 00:00 Cold Open 00:51 A Word from AnitaB.org 01:31 Meet Professor Sue Black, OBE 03:03 Leaving Home at 16 07:59 Starting Over as a Single Mom 09:52 Going Back to School for Computing 12:15 Facing the Fear of Networking 13:02 Founding BCS Women 15:45 Driven by Unfairness 20:07 The Hidden Women of Bletchley Park 22:22 The Campaign to Save Bletchley Park 24:46 One Tweet from Stephen Fry 29:45 What Community Gives You 31:15 Building Confidence with TechMums 35:50 What Real Access to Technology Looks Like 39:42 Testing AI for Gender Bias 43:45 Teaching Bias to First-Year Students 45:50 What Does Technology Owe Society? 48:40 What Excites Sue About AI 50:25 What Worries Sue About AI 52:55 What “B the Way Forward” Means to Sue #BTheWayForward #SueBlack #WomenInTech #BletchleyPark #AIBias #TechMums #ResponsibleAI #DiversityInTech #AnitaB #WomenInSTEM

  2. Oct 20

    Creativity in the Age of Machines | ft Shama Pagarkar

    What happens when we stop asking what AI can do and start asking what it should do? Shama Pagarkar has spent more than two decades at the crossroads of technology, product, and people, culminating in leading AI transformation work at PayPal. In this episode of B the Way Forward, Brenda sits down with Shama to talk about building products people actually need, why "AI isn't a strategy," and how PayPal's Maya initiative turned a weeks-long merchant integration into a few hours. Shama also makes the case that as answers get cheaper, human judgment becomes the whole job, and shares what she told her team when she asked them to trade old-school PRDs for hands-on prototypes. If you're leading through change, building your career in tech, or wondering which human skills will matter most in the age of AI, this conversation is for you. We Talked About Why you should obsess over the customer and the problem, not your solutionWhat's truly different about generative AI, and why it can be "confidently wrong"Good friction vs. bad friction in product designTaste, judgment, and creativity as the human skills that grow in value as AI advances Connect with Shama on LinkedIn Chapters: 00:00 Introduction 01:55 Meet Shama Pagarkar of PayPal 02:55 Early Career Lessons: Be Brave and Try Hard Things 05:10 Entrepreneur vs. Product Leader 06:15 Focus on the Problem, Not Your Solution 09:05 What Makes an Idea Worth Pursuing 10:10 Strategy vs. Iteration 11:05 What Failure Teaches You 12:30 What Makes Generative AI Different 14:50 What Companies Get Wrong About AI 18:00 PayPal's Maya: Making the Complex Simple 19:40 Good Friction vs. Bad Friction 21:00 How AI Changes the Human at Work 23:30 Taste, Judgment, and Creativity 25:30 What We Should Be Teaching Young People 26:55 Skills That Will Seem Outdated in 10 Years 28:25 Leading Through Uncertainty 31:10 An Uncomfortable Truth for Young Professionals 32:15 What Future Are We Building? 34:40 What "B the Way Forward" Means to Shama 36:20 Closing Thoughts #BTheWayForward #AnitaB #WomenInTech #AILeadership #ProductManagement #GenerativeAI #FutureOfWork #TechLeadership #PayPal #Innovation

  3. Oct 13

    Leading at Scale Without Losing Yourself ft Adam Cheyer

    What happens when your imagination shows up decades before the technology does? Adam Cheyer built his first version of Siri in 1993, before the web existed. He went on to co-found Siri and Viv Labs and was the first developer at Change.org. Now he’s saying something many people in tech won’t: 2025 was the year programming died. Brenda talks with Adam about why boredom made him creative as a kid, and how cardboard became software. They also get into Doug Engelbart’s idea that people and tools have to change together. Adam explains why he thinks we’re in a “golden moment” with AI, and why the thing that scares him most isn’t machines taking over but people losing their sense of purpose. If you’re excited about AI but uneasy about where it’s going, this one’s for you. We Talked About: Why boredom and “active vs. passive” time build creativity in kids and adultsHow Adam built 50 versions of Siri over 15 years before the world was readyWhat the AI hype of the 1980s can teach us about today’s boomWhy collective intelligence, or people deciding things together, may be the biggest opportunity after AIWhy Adam is calling for a global slowdown while humans are still in charge Connect with Adam on LinkedIn Chapters: 00:00 Cold open 01:05 Meet Adam Cheyer 03:00 Magic as storytelling 04:20 Boredom, cardboard and creativity 07:55 Active vs. passive time 10:20 Software as the new cardboard 12:15 "2025 was the year programming died" 15:20 Studying the human mind at Brandeis 21:30 Why AI favors generalists 26:20 Doug Engelbart and human-tool co-evolution 32:00 When imagination arrives before technology 34:30 The first Siri, built in 1993 37:55 AI in the 1980s: expert systems in France 41:30 Augmented intelligence and collective intelligence 48:20 What technologists miss about human behavior 54:45 A golden moment for AI 56:30 The real risk: losing human purpose 58:00 Why the slowdown has to be global 1:02:00 Reasons for optimism 10 years out 1:04:50 Closing thoughts #BTheWayForward #AdamCheyer #Siri #ArtificialIntelligence #FutureOfWork #CollectiveIntelligence #WomenInTech #AnitaB

  4. Oct 6

    Imagination as a Tool for Change | Francesca Rossi on Intelligence, Ethics, and What Comes Next

    What if the most important question in AI is not how intelligent we can make machines, but what we want that intelligence to do for us? In this episode of B The Way Forward, Brenda Darden Wilkerson sits down with Francesca Rossi, IBM Fellow and IBM's Global Leader for Responsible AI and AI Governance at the T.J. Watson Research Center, for a conversation about AI ethics, AI governance, and the human decisions behind every system we build. Francesca spent more than 20 years as a computer science professor advancing AI capability, before a year at Harvard's Radcliffe Institute changed the questions she was asking. She explains why AI ethics is really human ethics, why governance works like brakes and seat belts rather than a speed limit on innovation, and why the language fluency of large language models should never be confused with reasoning. She and Brenda dig into whose values get embedded in a model and who gets to fine tune them, what happens to democracy and the legal system when people can no longer tell what is true, and why the greatest threat to human agency may be the steady accumulation of small decisions we hand over without noticing. This is a conversation that sits right at the center of this season's theme of presence, passion, and purpose, because the future of artificial intelligence is not something arriving on its own. It is something we are building, one choice at a time. Connect with Francesca on LinkedIn We Learned About: Human agency as a measure of progressGaps in training data How AI ethics is Human ethics What AI is teaching us about ourselves Chapters: 00:00 Just because we can build it, should we? 02:09 The bigger question behind 20 years of AI research 05:28 Leaving a tenured professorship for IBM 06:28 AI ethics is human ethics 10:45 Governance is the brakes, not the speed limit 12:19 What do we actually mean by intelligence? 15:13 Fluency is not reasoning 17:30 Why we anthropomorphize machines 21:36 What technologists miss about consequences 24:09 Business, government, research, and community in one room 29:15 Whose values get built into the model 32:44 The maieutic machine: AI that asks us questions 35:26 Serving humanity means expanding human agency 40:59 What gives Francesca hope 43:01 Deepfakes, jobs, and the risk of AI rejection 46:10 What AI is doing to how we learn 48:23 What working on AI taught her about humanity #BTheWayForward #AnitaB #FrancescaRossi #AIEthics #ResponsibleAI #AIGovernance #IBM #ArtificialIntelligence #HumanAgency #TrustworthyAI #GenerativeAI #AgenticAI #TechLeadership #WomenInTech #WomenInAI #FutureOfWork #AIandSociety #EthicalTech

  5. Sep 29

    Building Change that Lasts by Designing for People | ft. Prasanna Gopalakrishnan

    In this episode, Brenda is joined by Prasanna Gopalakrishnan, former Global Chief Product & AI Officer at ADP and a veteran executive with over 25 years of experience leading digital transformation across tech, banking, and media. While much of today's conversation around Artificial Intelligence focuses on what machines will replace, Prasanna shifts the narrative toward a far more empowering question: What can AI make possible for human beings? Prasanna also shares where her optimism lands ten years out, from democratized superintelligence to breakthroughs in mental health and drug discovery, and what still keeps her up at night. If you're a leader, product builder, or HR decision maker trying to bring people along through AI change instead of running them over with it, this episode is for you. Connect with Prasanna on LinkedIn We Learned About Designing for PeopleThe Human AdvantageResponsible AI & TrustLeading Through Transformation Chapters: 00:00 Welcome back to Be the Way Forward 01:51 Meet Prasanna Gopalakrishnan 02:06 When technology actually works for people 05:08 Three questions to ask before you build anything 07:00 Just because AI can, should it? 08:49 What stays true about people across every industry 12:11 Better at transformation, or just moving faster? 15:03 Customers want a kill switch, and that's okay 16:23 What she listens for when she walks into a company 19:34 How do you measure people when AI does the work? 21:28 The wrong question: what will AI replace? 26:18 Superintelligence in everyone's hands 28:30 The divide forming inside organizations 31:34 Sprint thinking in the middle of a marathon 35:36 The what, the how, and what actually gets rewarded 37:19 Work, roles, and tasks are not the same thing 44:43 Giving people room to figure it out 46:42 The moment leadership became a philosophy 50:19 The moral compass she never gave up 53:01 Straight talk and why women hear it differently 55:41 Ten years from now 58:42 What keeps her up at night 1:00:38 What being the way forward means #BTheWayForward #AnitaB #WomenInTech #AIEthics #FutureOfWork #Leadership #ArtificialIntelligence #ProductManagement #DigitalTransformation #InclusiveLeadership

  6. Sep 22

    Leading From Lived Experience | ft. Vivienne Ming

    Machines can now write, create, diagnose disease, generate art, and carry on a conversation. Which raises a question bigger than technology itself: if machines can increasingly do what humans do, what makes us uniquely human? In this episode of B The Way Forward, host Brenda Darden Wilkerson sits down with Dr. Vivienne Ming, a theoretical neuroscientist, serial entrepreneur, and one of the world's leading thinkers on artificial intelligence and human potential. She has built AI that improves healthcare, reduces bias in hiring, predicts mental health crises, and reunites orphaned refugees with their families. But the through line of her career isn't machines. It's people. Brenda pushes on the hardest part: how any of this reaches policy, education, and the systems that keep flattening people into something simpler than they are. Dr. Ming's answer is characteristically unsentimental and characteristically hopeful: tension is the reality of a healthy world, all real problems are messy human problems, and the one thing you actually control is you. Because meaningful innovation begins with internal alignment. Before we reshape industries or build remarkable technology, we decide what kind of people we want to become. Connect with Vivienne on LinkedIn We Learned About 1. Algorithmic bias is a mirror, and that's what makes it useful. 2. Credentials predict far less than we think 3. There is no such thing as a problem-solving skill. 4. The cyborg finding: our advantage is exploring the unknown. 5. Depth is engineerable, and so is a better AI. Chapters: 00:00 Welcome Back: What Makes Us Uniquely Human? 01:47 Meet Dr. Vivienne Ming 03:02 Sci-Fi Nerd to Neuroscientist: Where the Philosophy Began 05:18 Real Smiles, Fake Smiles, and the Tip of the Tongue 07:43 Why Algorithmic Bias Tells Us About Ourselves 08:21 Facial Analysis for Hiring: Absolutely Not 08:52 Intelligence Isn't Fixed 09:35 Two Scientists, an EdTech Company, and 2008 Venture Capital 10:33 Ending High-Stakes Testing with AI 12:59 Foundational Skills, Not "Soft" Skills 14:58 People Can Change — And It's Measurable 17:23 Zero-Sum, Positive-Sum, and Peer Role Models 18:08 When Systems Treat the Most Complex Thing as Fixed 19:42 It's an Ecosystem Problem 20:11 Productization, Not Science, Is the Problem 22:38 Why Politicians Are So Vile Online 23:07 The Human Trust and the French Pluralism Project 24:05 You Aren't Your Shallowest Self 25:31 Allostasis: Beware Anyone Selling a Simple Rule 26:31 Finding the Happy Tension 28:58 There Is No Such Thing as a Problem-Solving Skill 30:33 Everyone's a Mashup — And Everyone's Bad at Something 32:34 When Scale Becomes a Flattening Word 33:41 Flattening Produces Divergence, Not Sameness 34:41 Three Levers: Technology, People, and Policy 37:03 From Thirty Parameters to Eight Billion 37:32 When the Worst AI Beats the Best Human 38:28 The World's Slowest Copy-Paste Function 39:26 Meet the Cyborgs 41:24 Our Advantage Is Exploring the Unknown 42:23 Why Don't We Take Courses on Curiosity? 43:21 Socrates: The AI That Refuses to Answer 43:52 Hybrid Intelligence — and Why the Students Hated It 44:12 Getting This Into Education Policy 46:22 Thirty Years of AI and a Thirteenth Company 46:46 Refugee Reunification, Autism, and Repurposed Tech 49:30 Building AI That Leaves You Better 50:56 Don't Wait Until You Have Wrinkles 51:27 The World Gets Better When Old Men Plant Trees 53:52 Diverse Teams, Flat Hierarchies, and Reading People You Disagree With 56:49 Tension Is at the Heart of Everything 57:46 The One Thing You Control Is You 58:48 Character and the Building of a Citizenry 01:00:12 Kuala Lumpur: The Question She Read Completely Wrong 01:02:40 What She Hopes She's Remembered For 01:02:50 Closing Reflections #BTheWayForward #AnitaB #VivienneMing #RobotProof #HumanPotential #AIandEducation #ResponsibleAI #FutureOfWork

    Leading From Lived Experience | ft. Vivienne Ming

  7. Sep 15

    Carrying the Weight and the Vision | ft. Shubhi Rao

    We ask AI questions. We trust its recommendations. We increasingly let it shape decisions about our work, our health, our money, and our futures. But there's a question we don't ask nearly often enough: who taught AI what it knows and who was missing from the room while it learned? In this episode of B The Way Forward, host Brenda Darden Wilkerson sits down with Shubhi Rao, founder and CEO of Uplevyl, and a leader who spent decades at the highest levels of global business (Ford, PwC, Tesco, and Alphabet) where she became the first woman and first person of color to serve as treasurer. From that vantage point, she saw a problem that never appeared on anyone's balance sheet: It wasn't only that women were underrepresented in the rooms where technology gets built. It was that the data powering artificial intelligence didn't really understand women's lives at all. If you build with AI, fund it, govern it, or simply rely on it, this conversation will change what you ask of it. Because behind every algorithm is a series of human choices, and the most important question isn't what AI can do. It's “Who is AI being built to serve?” Connect with Shubhi on LinkedIn We Learned About: 1. Data is only half the equation; the algorithm is the other half. 2. Foundational models are remarkable, and they're the wrong tool for specialized guidance. 3. The internet is a skewed teacher, so Uplevyl built its own corpus. 4. A woman is not a homogeneous group and that's precisely the design problem 5. This isn't about replacing human advocates, entrepreneurship is a three-person job. Chapters: 00:00 Welcome Back: Who Taught AI What It Knows? 00:57 Meet Shubhi Rao: Ford, PwC, Tesco, and Alphabet 02:27 The Problem That Wasn't on Anyone's Balance Sheet 03:18 The Google Project Where the Data Wouldn't Come Clean 04:57 Why Who Builds AI Matters 05:28 Two Halves of the Equation: Data and the Algorithm 06:43 Why Workforce Representation Alone Isn't Enough 07:23 Foundational Models vs. Specialized Domain Models 09:28 The Missing Middle Layer 10:49 The Internet as AI's Largest Teacher 11:19 A Very Western Internet — and How to Rebuild It Cleanly 13:37 The Smithsonian, Women Artists, and Voices with No Webpage 14:20 From Blame to Responsibility: The Consequence of Defaults 15:16 What We Missed When ChatGPT Launched 16:18 Now Everyone Can Be a Builder 17:39 Grace Hopper and "We've Always Done It That Way" 18:08 Seeing the Problem — and Leaving Corporate to Solve It 19:01 A Problem Solver First, an Entrepreneur Second 21:01 What Uplevyl Actually Solves 22:26 Workplace Rights Across 23,000+ Jurisdictions 23:25 A Woman Is Not a Homogeneous Group 24:50 Widowhood, Advisors, and the Great Wealth Transfer 25:50 Trauma-Informed vs. Grief-Informed Algorithms 27:26 Why General Models Hallucinate on Lived Experience 28:40 Founding Uplevyl Before ChatGPT 29:28 Pattern Recognition as a Superpower 31:42 Why Build a First-Party Knowledge Base from Scratch 32:28 Uplevyl Studios and Hundreds of Women Experts 35:11 Craft and Care: Protecting the Algorithm 37:03 When People Questioned the Vision 41:11 Building Every Line — and Choosing Europe for Privacy 42:43 Entrepreneurship Is a Three-Person Job 45:07 Taking Your Fingers Out of the Cookie Jars 46:09 AI for Empowerment, Not Replacement 46:36 Financial Flows, Human Capital, and Unsolved Human Problems 49:21 Technology Should Reflect Our Priorities 50:21 What She Hopes We See in the Mirror in Five Years 51:48 Leadership in the Unknown Unknowns 54:17 Presence, Passion, and Purpose 55:04 The 10,000 Days Question 56:22 Closing Reflections #BTheWayForward #AnitaB #ShubhiRao #Uplevyl #WomenInAI #AIBias #WomenInTech #ResponsibleAI

    Carrying the Weight and the Vision | ft. Shubhi Rao

  8. Sep 8

    Success Doesn’t Mean Slowing Down | ft. Dr. Safiya Noble

    For years, we were told that algorithms were neutral. Just math. Just code. Dr. Safiya Umoja Noble asked a different question, and it changed the way the world thinks about technology. In this episode of B The Way Forward, host Brenda Darden Wilkerson sits down with the scholar, author, and educator whose groundbreaking book Algorithms of Oppression helped spark a global conversation about algorithmic bias years before most of us had the language for it. Dr. Noble takes us back to the beginning: a working-poor childhood full of questions about how the world really works, fifteen years inside corporate telecom, a front-row seat to the dot-com boom and bust, and a PhD earned at forty-one; proof that the timeline you were handed is not the only timeline available to you. She also gets honest about the cost. About Black women stepping back from leadership because they turn around and find no one behind them. About the online violence pushing women and girls out of public life. And about why, right now, retreat is a luxury none of us can afford. Connect with Safiya on Instagram We Learned About The search that exposed a system.Code is a language — and languages are subjective.Technology and humanity were separated by design.There are now two education systems, and AI is deepening the divide.Everyone has a lane, and everyone has leverage. Chapters: ​​00:00 Welcome Back: Presence, Passion, and Purpose 01:28 Meet Dr. Safiya Umoja Noble 02:17 Curiosity, a Working-Poor Childhood, and a PhD at 41 04:23 Corporate Tech, the Dot-Com Bust, and a Skeptic's Eye 08:00 Why We Ever Believed Technology Was Neutral 09:53 From Chat Rooms to Search Engines 12:45 Gen Z Doesn't Trust Search Anymore 13:44 The Search That Started It All 16:33 Designing the Study: What the Data Revealed 19:22 Algorithms Are Not "Just Math" 20:53 The Bifurcation of Technology and the Humanities 22:20 What If Women Had Held the Power and the Resources? 24:35 Eugenics, Race Science, and the History of CS 26:25 Techno-Solutionism and the Defunding of the Humanities 28:15 Sabbatical, Stand-Up Comedy, and Staying Present 30:03 The Cognitive Cost of AI Dependence 33:22 When Being Device-Free Becomes a Luxury 34:49 Who Gets Chatbots and Who Gets Teachers 37:23 Data Centers, Water Bills, and Community Pushback 40:58 "We Are the Optimists" 42:19 Tell the Truth 44:17 An Ecosystem of Truth-Tellers 47:16 Find Your Lane: Where Everyday People Have Power 49:51 Pensions, Portfolios, and Pro-Social Technology 51:53 Trained vs. Educated 54:02 Advice for the Exhausted Changemaker 56:08 Building "Data in Society" at UCLA 57:26 Gen Z and Values-Aligned Work 58:59 Black Women, Leadership, and the Cost of Retreat 01:02:31 Closing Reflections #BTheWayForward #AnitaB #SafiyaNoble #AlgorithmsOfOppression #AlgorithmicBias #WomenInTech #ResponsibleAI #TechEquity

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B The Way Forward is an action-driven conversation about systemic change—how it happens, who drives it, and what it really takes to make an impact. Hosted by AnitaB.org CEO, and battle-tested leader in tech and equity, Brenda Darden-Wilkerson, the show gives listeners the tools they need to step off the sidelines and shape the future themselves. B The Way Forward Season 2 kicked off with a central question: do you change the system from within, or do you have to break it to build something better? Now, in our second half of the season we'll celebrate something women often feel they can’t admit to in the tech world - failure. Through candid conversations with leaders at the top of the tech industry the audience gets authentic, actionable advice that they can apply to their own careers. Thoughtful, incisive and full of Brenda’s warmth and humor, B the Way Forward is human conversations in a digital world. --- At AnitaB.org, our mission is to enable and equip women technologists with the tools, resources, and knowledge they need to thrive. Through innovative programs and initiatives, we empower women to chart new paths, better prepared to lead, advance, and achieve equitable compensation. Because when women succeed, they uplift their communities and redefine success on their terms, both professionally and personally. --- Connect with AnitaB.org Instagram - @anitab_org Facebook - /anitab.0rg LinkedIn - /anitab-org And for more ways that you can be the way forward visit anitab.org --- Our guests contribute to this podcast in their personal capacity. The views expressed in this interview are their own and do not necessarily represent the views of Anita Borg Institute for Women and Technology or its employees (“AnitaB.org”). AnitaB.org is not responsible for and does not verify the accuracy of the information provided in the podcast series. The primary purpose of this podcast is to educate and inform. This podcast series does not constitute legal or other professional advice or services.

Information

  • Creator
    AnitaB.org
  • Years Active
    2023 - 2026
  • Episodes
    74
  • Rating
    Clean
  • Copyright
    © Copyright, 2023 AnitaB.org
  • Show Website
    B The Way Forward

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