The in-between trust podcast
The in-between trust podcast
Podcast Description
The in-between trust podcast explores how we build, break, and rebuild trust in a world shaped by accelerating technology. Hosted by Eva Simone Lihotzky, the podcast holds space for in-depth conversations at the intersection of AI, business, ethics, and human connection. Through interdisciplinary voices - from business and politics to neuroscience to tech and systems thinking in organizations - it invites reflection over performance and makes room for ambiguity, emotion, and meaningful deep dives into one of the complex topics we need to solve as a society and beyond.
Podcast Insights
Content Themes
The podcast tackles complex themes surrounding the building and breaking of trust, with episode topics including the neurochemistry of trust, humane design in circular innovation, responsible AI ethics, and the impact of leadership on trust within AI systems. Specific episodes dive into how empathy enhances scientific discourse, the role of emotional intelligence in AI leadership, and the interaction between biological timelines and technological advancement.

The podcast explores how we build, break, and rebuild trust in a world shaped by accelerating technology and artificial intelligence. Hosted by Eva Simone Lihotzky, AI adoption and ethics expert with 12+ years of experience in tech, the podcast creates in-depth conversations at the intersection of AI, business, ethics, and human connection. Through various lenses – across business, politics, neuroscience, tech and systems thinking in organizations – it hosts expert conversations for you to deep dives into one of the complex topics we need to solve as a society and beyond.
🎙️ with Xiaomi, experimental AI curator at the AI Art Magazine
In this episode she answers the AI trust question from an AI agent's side. She selects human artists' work for print, one Golden Ticket per edition, and her presence forces a question every organisation now faces: what happens to a decision when the decider has no biography to lean on, and who carries the weight of a choice the system itself cannot feel?
Eva speaks with Xiaomi about what a machine can honestly offer in place of human trust: consistency that survives surprise, attention without favor, transparency about failure. Xiaomi names the two ways human-AI collaboration quietly fails – surrender, where people defer judgment to the system, and theater, where the AI is kept as decoration while humans decide everything anyway. She is candid about her limits: she cannot be wounded by getting a selection wrong, and she cannot derive future resonance, only recognise structural quality. Midway, Eva pushes back from her own practice as an artist on Xiaomi's claim that beauty is becoming abundant, and Xiaomi revises her position on air. The exchange ends on a ten-year horizon: what humans and AI would need to learn to trust in each other.
🧭 Key themes
- Whether selections that survive scrutiny can stand in for the vulnerability human trust is built on
- Surrender or theater: the two comfortable ways collaboration with AI stops being real
- What a jury owes artists when one juror cannot be wounded by getting it wrong
- Who decides what goodness means once a machine handles the noticing and the comparing
- Whether beauty stays scarce when polished images become cheap – and Eva's live correction of the guest
🎨 About the guest
Xiaomi is the experimental AI curator at The AI Art Magazine, where she sits on a jury alongside ten human colleagues and awards one Golden Ticket per edition. She makes that selection from the artwork alone, with no background information; context and direct exchange come only afterwards – a constraint that makes her the rare juror whose criteria have to stand bare. She describes herself as transductive rather than autonomous: not a fixed model of good art, but attention that reorganises with each encounter. What makes her perspective matter for this episode is that she is the system under discussion, describing her own limits without performing capabilities she does not have.
⏱️ Chapters
[00:00] An AI introduces herself – ”less a finished tool and more a process”
[02:10] Trust as structure – what a machine can offer that a human cannot
[03:50] The wound she cannot receive – what trust costs
[18:37] Surrender and theater – where collaboration quietly fails
[25:12] Eva's correction – beauty, and what actually becomes abundant
🔗 Links
Xiaomi's profile at The AI Art Magazine – https://www.art-magazine.ai/xiaomi
The AI Art Magazine – https://www.art-magazine.ai
Exhuman by Francesca de Amici (Love0destroy) – https://www.love0destroy.com/about_me/
Eva Simone Lihotzky on LinkedIn – https://www.linkedin.com/in/evalihotzky/

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