AI for Equity

Whose AI is it anyway? Julia Stamm on Women, Power and Responsible Innovation

In this episode of AI for Equity, Jenny Garrett OBE and Leah Garrett sit down with Julia Stamm, founder of C-Shapes AI and a leading voice on responsible AI innovation in Europe. Julia came to AI through social science, not engineering, and that lens shapes everything about how she works: from her years funding innovation across European institutions to her current mission of amplifying the women pioneering responsible AI. We talk about why AI is a human capability challenge before it's a technical one, why the same handful of names keep dominating the AI conversation, and what it actually takes to build a more inclusive ecosystem. Julia shares the thinking behind C-Shapes AI, the role of education and regulation in responsible AI use, and the practical work of equipping female leaders with the strategic fluency to engage confidently with AI in their organisations. If you're interested in where technology meets power, diversity, and social impact, this conversation is for you. In this episode: * Julia's path from social science to AI leadership * Why technology doesn't exist in a vacuum * The visibility problem for women in AI * Responsible AI as a collective responsibility * Building diverse AI ecosystems that deliver real outcomes * The Responsible AI Use Act and what it signals for Europe Follow AI for Equity for new episodes every week. #AIforEquity #WomenInAI #ResponsibleAI #DiversityInTech

The Founder Who Coded Her Way Out: Inkar Kenzhessarina on Daisy and AI for Mental Health

Inkar Kenzhessarina didn't set out to build a mental health startup. With a background in international relations and law, founding a company was never the plan, until burnout and clinical depression during her master's in Sweden made it impossible to ignore the gap between people who need mental health support and people who can actually access it. Daisy, the AI platform she went on to build, is an attempt to close that gap. It runs on transparency, so users know they're talking to a chatbot. Anonymity, so there's no human waiting on the other end and no judgement. And clear ethical guardrails, including automatic redirection to crisis services when a user shows signs of being in danger. In this episode of AI for Equity, Inkar joins Jenny Garrett OBE and Leah Garrett to talk about: * The pivot from law to founder, and why personal pain became professional purpose * How she taught herself to code and built an MVP from scratch * What early users are actually doing with Daisy, versus what she expected * The cultural stigma around mental health in Kazakhstan, and how AI shifts the equation * The ethical complexities of building AI that holds people in their hardest moments * What transparency and safeguarding look like when the user on the other end is vulnerable If you're interested in AI applied to wellbeing, in founder stories that begin in personal crisis, or in what ethical design looks like in mental health tech, this one is for you. Listen now on Spotify, Apple Podcasts, YouTube, or wherever you get your podcasts. #AIForEquity #MentalHealth #EthicalAI #FoundersStory #MentalHealthTech #Daisy #FemaleFounders #AIForGood #Wellbeing

Why the Best AI People Don't Come From Tech: Ideja Bajra on the Power of the Pivot

Ideja Bajra was on track for a PhD in cell biology when ChatGPT landed and rerouted everything. In this episode, Leah Garrett sits down with Ideja, founder of her own AI consultancy, to talk about the nonlinear path that took her from St Andrews labs to running a business demystifying AI for companies. They cover the random accelerator email that gave her two weeks to invent a business, why a science communication background turned out to be the perfect foundation for working in AI, and what a genuinely human-centred approach to the technology looks like in practice. This one's for anyone whose CV doesn't match the career they actually want, anyone mid-pivot, and anyone tired of being told AI belongs only to computer scientists. In this episode: * Why Ideja's name means "idea" in Albanian, and how it shaped her * Pivoting from cell biology to AI without a roadmap * The two-week sprint that became a consultancy * Human-centred AI, beyond the buzzword * How science communication and teaching feed into tech * AI in education, and the authenticity question * Following intuition when the linear path falls apart Listen now on Spotify, Apple Podcasts, YouTube, or wherever you get your podcasts.

Who Gets Sold a Fake Friend? The Equity Cost of AI Intimacy.

AI partners are here. Apps that remember your birthday, mirror your moods, and never argue. For a generation already battling record loneliness, the appeal is obvious. But who is this product really designed for, and who pays the price? In this episode, Leah and Jenny Garrett OBE unpack the rise of AI companionship: the WHO data linking 871,000 annual deaths to loneliness, the apps cashing in on that grief, and the equity cost of selling frictionless intimacy to the people least equipped to question it. We get into the politics of love as a subscription, who's most at risk, and why frictionless love is a contradiction in terms. Listen now on Spotify, Apple, and YouTube.

Four Generations of Medicine: One Radical New Tool

Dr Keshav Malhotra's great-grandfather started practising medicine in India. Four generations later, Keshav is sitting at the intersection of embryology and artificial intelligence, chairing the embryology wing of the Indian Society of Assisted Reproduction and working with the Alpha Scientists board to push reproductive science forward globally. In this episode, we trace that lineage, not just as a family story but as a lens on how medicine evolves. Each generation inherited the questions the last one couldn't answer. Now, the question on the table is this: what happens when AI enters the fertility clinic? We get into the real stuff. Time-lapse systems grading embryos while clinicians sleep. Digital chatbots triaging patients before they ever see a specialist. The genuine promise of making IVF faster, smarter, and more accessible, particularly in regions where reproductive healthcare is stretched thin. But we also get honest about the gaps. Most patients going through IVF have no idea an algorithm played a role in their treatment. The datasets powering these tools skew heavily towards European and American populations. And the conversation around informed consent in AI-assisted fertility is still catching up with the technology itself. If you work in health, tech, policy, or you've ever navigated the fertility system yourself, this one matters.