Can an algorithm tell you what is beautiful? And if it can, whose idea of beauty is it working from?

This week's guest is Hugo, founder of London's first AI consultancy. He has trained foundation models, audited machine vision systems for The Times and Vogue Business, and taught over 5,000 teenagers to build and ship real products through his company Sherpas. He now runs AI Night School, helping leaders understand what this technology actually does.

The conversation runs from his first business at six years old, selling potpourri to golfers, to the project that tried to teach a machine to recognise beauty, and what that project quietly exposed. AI does not fix our instincts. It amplifies them. Every bias we have not questioned gets handed back to us, faster and with a confidence it has not earned.

We also get into creativity, the discipline of protecting your focus, and the ethics of building technology that shapes how people see themselves and their own worth.

Listen now on Spotify, Apple Podcasts and YouTube.

Swap a woman's name for a man's on the same profile, and the visibility climbs. Amazon's hiring algorithm learned to filter out the word "women's" without anyone telling it to. None of this is a fault in an otherwise fair system. It is the system, running on exactly what it was trained on.

This week Leah Garrett and Jenny Garrett OBE are joined by Cecilia Jastrzembska, a senior policy advisor and one of the clearest voices on algorithmic accountability in the UK. Cecilia has campaigned to make misogyny a hate crime and works where political journalism, public policy and advocacy meet. Her argument runs against the comfortable version of this conversation: bias in AI is structural, not a series of unlucky accidents, and designing for accountability has become a strategic necessity rather than a moral footnote. We get into the recruitment tools quietly deciding who gets hired, the LinkedIn experiment that exposed how visibility shifts with gender, and why so many government consultations fail the people they are meant to serve. Underneath all of it sits one idea: legibility. Making these systems readable enough that the people they fail can challenge them.

AI for Equity is hosted by Leah Garrett and Jenny Garrett OBE, exploring how technology deepens inequality and how it can be built to do the opposite.

Cecilia Jastrzembska is a UK Government Senior Policy Advisor at Director Level. She founded European Movement Women and is a Co-Founding member of of Women In AI, UKAI, an Advocate for 50:50 Parliament, and nominee for the Outstanding Award for Tech Regulation by CogX as well as the UN Women UK Campaigner of the Year Award. A longstanding gender equality campaigner, Cecilia is an award winning global speaker and political journalist (LinkTree) published in over 25 international newspapers. Through these positions as well as central government, she has worked with, spoken alongside, organised and chaired panel events and roundtables with over 200 MPs, MEPs, diplomats, NGO representatives and international legal experts on ending (M)VAWG, mitigating the climate crisis and ethical AI.

We tend to treat toxic workplaces as accidents. Jody, founder of Gentia, argues they are closer to design, and that the psychosocial hazards doing the most damage are the ones organisations are least willing to name.

In this episode we talk about what psychosocial hazards actually are, from crushing workloads and bullying to poor leadership and the slow loss of autonomy, and why they so rarely show up in standard engagement data. Jodie shares what she learned across more than a decade in workplace wellbeing, how helping build one of Australia's largest early education providers shaped her understanding of who pays the price for bad culture, and how Gentia uses AI to make hidden risk measurable, and therefore actionable.

A conversation about leadership, accountability, and the difference between saying you care about wellbeing and being willing to look at the evidence.

AI for Equity is hosted by Leah Garrett and Jenny Garrett OBE.

Jody Warren – Bio

Jody is the Co-Founder of Gentia and a long-time advocate for workplaces that help people thrive, not just survive. She believes work should leave people better off, not depleted, and has spent her career designing the systems that make that possible.

Before Gentia, Jody co-founded Australia's largest corporate early education group, driven by a mission to help more women return to the workforce. Running that business revealed a powerful truth: how people experience work shapes how they show up everywhere else.

That insight led her into psychological safety at work, the conditions that determine whether people are protected from harm like burnout, bullying, and chronic stress, or quietly damaged by them. She spent more than a decade learning what actually keeps people safe and well at work, and who pays the price when organisations get it wrong.

Now she's encoding that expertise into AI. Gentia is a platform that helps organisations protect their people from the hidden risks at work that quietly cause harm, things like burnout, bullying, and chronic stress. Most AI in this space guesses from survey data. Gentia is built the other way around, with deep human expertise encoded in first, so it can see these risks precisely, explain them clearly, and help organisations act on them before people get hurt.