Humans WithAI™

Daniel Clarke is Head of Innovation and Technology for a group of councils in the Cambridge area, where he works on emerging technology, data infrastructure, transport systems and automated vehicles.
In this episode of Humans WithAI, David and Dan explore how AI is being used in local government, from cleaning transport data and analysing public consultations to supporting autonomous buses, social care, education and future city planning.
Dan explains why the real opportunity is not replacing people, but helping them work better, make sense of complex data and focus more time on the human parts of their jobs.

In this episode of Humans WithAI, David Brown is joined by Joanna Shilton for a wide-ranging conversation about how AI is changing work, creativity, bias, image generation, critical thinking and the way people use technology in daily life.
Joanna reflects on what she has learned since hosting Women WithAI, including why AI should be treated as a tool rather than a source of truth. The conversation explores whether AI gives women a competitive advantage, how it may affect entry-level roles in PR, marketing and communications, and why younger workers could lose important opportunities if AI replaces early-career training.
David and Joanna also discuss AI bias, generated images, ownership, social media algorithms, the limits of large language models, and the need for humans to stay actively involved in judgement, editing and decision-making.
At the heart of the episode is a simple question: if AI reflects the information we give it, what responsibility do we have for what comes next?

Lena Robinson is a writer, creative host and returning co-host whose conversation helps reopen Humans WithAI by grounding big AI questions in lived experience, burnout, mental health, and the messy reality of how people actually use these tools.
In this episode of Humans WithAI… David and Lena return after a break to reflect on AI fatigue, the shift from hype to more practical use, the risks and promise of AI in mental health, and the danger of businesses talking more about tools than the humans they serve.
Lena leaves you with a simple challenge to keep hold of your own judgement, because AI can be useful, supportive and even revealing, but it should never replace human awareness, human care, or the responsibility to think for yourself.
Links
New study raises concerns about AI chatbots fueling delusional thinking: https://www.theguardian.com/technology/2026/mar/14/ai-chatbots-psychosis
I’ve turned AI into my therapist. The results were pretty disquieting: https://www.theguardian.com/lifeandstyle/2026/feb/24/ive-turned-ai-into-my-therapist-the-results-were-pretty-disquieting

We’re back after a long summer break with a new format, live recording, and a whole lot to say about the state of AI, tech, and creativity.
In this episode, David, Jo, and Lena dig into:
Google’s decision to limit search results to 10: What does this mean for small businesses, SEO, and information access?
Is AI making us lazy, dumber, or just revealing how unoriginal we’ve always been?
The looming AI bubble: Are we headed for a dot-com-style crash?
Creativity vs. automation: Is originality dead, or just evolving?

Also in the mix:
David’s ChatGPT agent that refuses to do its job
Jo’s trust issues with AI trip planners
Lena’s sharp take on Gen Z and critical thinking
And a detour into quantum computing, fusion power, and alien tech

This one’s equal parts conversation, curiosity, and mild chaos — just how we like it.
Subscribe, share, and stay tuned.
New season. New format. Same mayhem.

Marco Ramilli joins us to discuss the urgent need for technology that can identify whether images and videos have been generated by artificial intelligence. He shares that the idea for his software arose from a viral image of the Pope in a designer jacket, which sparked widespread debate and confusion over its authenticity. As the digital landscape becomes increasingly cluttered with manipulated content, Marco emphasizes the critical importance of distinguishing reality from fabrication. He explains how his software leverages advanced AI models to analyze visual content and determine its origins. This conversation sheds light on the broader implications of AI-generated media and the challenges we face in maintaining trust in what we see online.
Takeaways:
Marco Ramilli discusses the importance of distinguishing real images from AI-generated content, especially in today's digital world.
He shares how the viral fake image of the Pope in a puffer jacket inspired him to develop software for identifying AI-generated media.
The technology developed by Marco can analyze photos, videos, and sounds to determine their authenticity, which is crucial for preventing misinformation.
Marco emphasizes that the responsibility lies with technology developers to incorporate safeguards against misuse of AI-generated content.
He notes that the rise of fake content can dilute public trust and complicate issues surrounding information verification in society.
Marco believes that collaboration among companies is essential to address the challenges posed by the proliferation of AI-generated media.