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Dieser Podcast wird gerade aktualisiert – wir suchen nach neuen Episoden …

Entering the Era of AI Power: An Estonian View on Europe's Way - Sten Saluveer, Telia (EP 41)

36 Minuten
️ Sten Saluveer, Growth & Innovation, Telia

What decides AI trust in Europe - the size of the model, or whether people recognise themselves in the society using it? Sten Saluveer helped write Estonia's digital state agenda and now builds at Telia, and he argues Europe enters the era of AI power holding more than it thinks: a working example, and the diversity to invent its own category. For leaders deciding where their organisations stand in that game, this is a view from a country that stopped writing roadmaps and started shipping.

Episode overview

Sten and Eva move from why a builder who ran innovation at Cannes chose an Estonian telco, to what an agent-driven state actually looks like when more than a hundred and twenty agentic services already run and the plan reads like scenes from a citizen's life. They sit with the uncomfortable side: a quarter in which Estonians lost around thirty million euros to cybercrime, and a security goal that paradoxically aims to keep satisfaction exactly where it is. From Cannes, Sten brings the generational fault line - leaders over forty who see adaptation as given, talents under thirty who experience AI as a threat to their work and their environment - and the question of whether Europe can turn its diversity into its own category rather than playing everyone else's game.

Key themes

Whether a state can make itself agent-driven and keep the citizen in control

Why holding cybersecurity satisfaction at today's level counts as ambition

What Europe's own category could be when it stops measuring itself in gigawatts

The generational split on AI that surfaced at Cannes, and what it demands of leaders

Whether a telco can become the trusted digital partner of the AI economy

About the guest

Sten Saluveer is an Estonian innovation strategist who has spent two decades translating between the market, the technology, and the governance layer - from heading Cannes Next at the Marché du Film to advising the Tallinn Digital Summit. He contributed to Estonia's digital state agenda, where he insisted the plan contain scenarios from ordinary life, and he recently joined Telia heading their growth and innovation initiatives. What makes his perspective matter here is the vantage point: he argues Europe's case from inside a small country where the agent-driven state is already operational.

️ Chapters

[00:00] Why a builder chooses a telco when the era turns

[11:41] An action plan, not a roadmap - the state that ships

[18:11] Standing still as ambition - the cybercrime paradox

[23:15] When infrastructure has to assume it is a target

[28:03] Cannes: the generation that experiences AI as a threat

[38:26] Reclaiming agency - Europe's own category

Links

Sten Saluveer on LinkedIn - https://www.linkedin.com/in/stensaluveer/

Eva Simone Lihotzky on LinkedIn - https://www.linkedin.com/in/evalihotzky/

Telia - https://www.telia.ee/era

Estonia's digital state agenda - https://digital-skills-jobs.europa.eu/en/initiatives/national-strategies/estonia-estonian-digital-agenda-2030

Related episode - 'Tech and Democracy with Nexus Politics' https://open.spotify.com/episode/3WVnBsaz3LfFPwn6xsX1N6

Captured or AI Created? Tech Ethics of Photography - Noah Wetzel (EP 40)

35 Minuten
️ Noah Wetzel, Photographer

What happens to AI trust when the most real photographs are the ones people refuse to believe? Noah Wetzel spent nine months and 600 hours preparing to capture 84 seconds of a total solar eclipse - then had to prove the result came out of a camera. This one is for anyone whose genuine work now meets default suspicion, and anyone deciding where AI belongs in a craft that has to stay real.

 Episode overview

Noah captured a wingsuit athlete flying through totality in Spain: flashes triggered from a mile away, a subject moving at 150 miles per hour, two frames per athlete, no second takes. The conversation follows what came after the shutter - viewers at his own shows assuming the work is fake, magazine editors auditing every edit in his raw files, and a disclaimer on Instagram stating his photos are camera-captured. He is blunt about his own AI use: hundreds of hours on ChatGPT planning the shot, AI saving him days in processing, and a hard line at the frame itself. Where that line sits, and whether it survives cameras that can generate content on demand, stays open until the end.

 Key themes

Why extraordinary authentic images now read as fake by default, and who ends up carrying the burden of proof

Where AI strengthens a craft and where it disqualifies the result - the captured versus created distinction Noah refuses to blur

What "the ethics of photography" means when every edit is contestable and everyone draws the line differently

What happens to that line when the camera itself can add what was never there

How you perform inside 84 seconds when preparation is the only thing left to trust

 About the guest

Noah Wetzel is an adventure and action-sports photographer, and the person behind what may be the most complex photograph ever attempted: a Red Bull Air Force wingsuit athlete crossing a total solar eclipse. The detail that matters for this episode is what he does after the work is done - he attaches a statement to his published images confirming they were captured by a camera, because the audience's default assumption has flipped. He argues the case for craftsmanship from inside a working life that uses AI daily.

 Chapters

[00:00] 600 hours for 84 seconds

[04:33] Trusting preparation when nothing can be paused

[16:30] What generative AI changes about believing a photograph

[24:02] Why real work now carries a disclaimer

[31:41] Where the in-camera line starts to dissolve

 Links

Noah Wetzel's website / portfolio — ⁠www.wetzelgallery.com⁠

Noah Wetzel on Instagram, ⁠www.instagram.com/noahwetzel⁠

Noah Wetzel on Facebook: ⁠www.facebook.com/noahwetzelphoto⁠

[LINK: Related episode — suggest a Pillar 1 episode on trust in AI systems, Eva to match to episode number]

Eva Simone Lihotzky on LinkedIn - https://www.linkedin.com/in/evalihotzky/

Documentary Released on PBS Recently - April 8th 2024 Total Solar Eclipse in Hill Country Texas. The film has received 17 film festival awards and been aired 1700+ times in the last month across 39 different states in the United States. You can watch the documentary online here:

https://www.pbs.org/show/eclipse-outlaw-chase/ 

AI and Sustainability: Lessons from Both Transformations - Dr. Kiri Trier (EP 39)

34 Minuten
️ Dr. Kiri Trier, Chief Marketing & Growth Officer at Risk Management Partners, part of Munich Re

Opening paragraph

Every C-level claimed sustainability expertise overnight. Dr. Kiri Trier watched it happen, and she sees AI trust heading the same way. She spent more than a decade leading sustainability transformation before the current wave, and now runs growth inside Munich Re's climate risk business while the second hype cycle unfolds around her. This one is for leaders who suspect the pace of AI adoption has outrun the understanding beneath it.

Episode overview

In this episode, Dr. Kiri Trier maps the sustainability cycle onto the AI one: the expectation management problem when nobody knows the consequences, the human resource comparison that sustainability never triggered, and why she laughed the first time she heard "human in the loop". From inside reinsurance she raises the question with no settled answer yet - when a model judges wrong, what about the liability? And she closes with a definition that reorders most AI governance thinking: trust arrives only as an outcome of credibility and reliability.

Key themes

When a model judges a policy wrong, who carries the liability - and why the autonomy still lies on the human side

Whether the EU AI Act repeats the German supply chain law: does checklist regulation produce compliance or trust?

What greenwashing predicts about AI washing, from someone who watched the first one form

Can trust be installed at all, or only earned as an outcome of credibility and reliability?

The gut feeling as a leadership instrument the LLM does not have

About the guest

Dr. Kiri Trier is Chief Marketing & Growth Officer at Risk Management Partners, a Munich Re company localising climate risk exposure. The detail that matters for this episode: seven years before the current wave, she published on how AI would change sustainability management - which means she entered the AI transformation already knowing how a hype cycle ends.

️ Chapters

[01:31] Trust is a behaviour - so what is trust in a technology?

[04:09] The overnight experts return

[09:32] Human in the loop, turned around

[16:10] The foresight existed - Sustain what?

[26:00] When regulation becomes Excel lists

Links

Dr. Kiri Trier on LinkedIn - https://www.linkedin.com/in/dr-kiri-trier-97bb1611/

Eva Simone Lihotzky on LinkedIn - https://www.linkedin.com/in/evalihotzky/

Risk Management Partners website - https://www.munichre.com/rmp/en.html

Related episode: 'Designing regenerative futures' with Karel Golta - https://podcasts.apple.com/de/podcast/the-in-between-tech-and-trust-podcast/id1828521905?l=en-GB&i=1000721908996

Building Trustworthy Open Source AI - Sebnem Erener (EP 38)

24 Minuten
️ with Sebnem Erener, AI Governance & Policy Expert

Opening

Europe is investing billions in open source AI as the trustworthy path, and this episode asks a simple question about that plan: does open actually mean trustworthy? Sebnem Erener works on AI governance, and her answer is no, or at least not on its own. Open source spreads access to a model. Whether you can trust it, and who answers when it goes wrong, are different questions with different answers.

Episode overview

An open model passes through a lot of hands before it reaches you. Sebnem counts five or six: uploaded to a platform, hosted somewhere else, routed, fine-tuned, served. The law usually wants one company to hold responsible, and that's not how the open ecosystem works. She spent years at Klarna as its Head of AI Legal, Regulatory and Ethics, and she now studies where this gap sits. We talk about why she cares more about trustworthiness than trust, what open source can and can't fix on its own, and why she thinks a person can be held liable but a model never can, no matter how independently it acts. It's a conversation for anyone building on an open model, or writing the rules for one, who wants to know who's actually accountable.

What you'll hear

Why an open model can leave you less sure who's liable than a closed one

The line between real openness and what Sebnem calls "open washing"

Where Europe should be patient, where it should be bold, and why one timeline for all of it is a mistake

Why calling AI "agentic" doesn't move the responsibility onto the machine

The thing Europe is short on, which isn't innovation

About Sebnem Erener

Sebnem Erener works on frontier AI governance and policy across EU, UK, and US frameworks. Before going independent she was Head of AI Legal, Regulatory and Ethics at Klarna, so she has handled these questions inside a company and not only in theory. She's an advocate for open source AI, and she's precise about what it does and doesn't solve. Her forthcoming paper on the governance of open source AI intermediaries runs underneath a lot of this conversation.

️ Chapters

[00:00] What we mean when we say "trust"

[05:00] The five or six hands on every open model

[09:00] When open makes accountability harder

[12:00] One package, four timelines: patience and boldness for Europe

[14:30] Why "agentic" lets no one off the hook

Links

Sebnem Erener on LinkedIn - https://www.linkedin.com/in/sebnemerener/

Sebnem Erener website - https://www.sebnemerener.com

Eva Simone Lihotzky on LinkedIn - https://www.linkedin.com/in/evalihotzky/

European Commission tech sovereignty package - https://digital-strategy.ec.europa.eu/en/policies/eu-tech-sovereignty

OpenEuroLLM - https://openeurollm.eu

Related episode - beyond the black box with Prof Dr Tina Weisser: https://open.spotify.com/episode/6yKMLQNnDoa6NqqClJrryN?si=3AWXxowURVujJL5m3zD5QQ

An AI-First Platform Built on Trust - Philipp Witzmann, nebenan.de (EP 37)

32 Minuten
️ with Philipp Witzmann, CEO of nebenan.de

Most platforms removed friction to grow. Philipp Witzmann and his team navigate it together, and are now building an AI-first company on a foundation of digital trust.

Episode overview

nebenan.de is the German neighbourhood platform where you cannot sign up without your real name and your real address. Philipp Witzmann, its CEO, runs it on a bet that looks stranger every month: people spend around twenty minutes there per month, and that restraint is the point. This episode is for any leader who senses that speed and efficiency are quietly costing their organisation something human, and hasn't found the

Key themes

Why a company would put friction back in when the rest of the internet spent twenty years stripping it out

What a leader owes their team when AI changes every role and the first fear is whether anyone still has a job

Whether a real, verifiable human becomes more valuable as fakes get cheaper, or simply harder to find

How a self-described pro-AI CEO holds enthusiasm and worry in the same hand, especially where children are concerned

What gets lost when a platform optimises for time spent, and what changes when it optimises for people leaving it words for it yet.

About the guest

Philipp Witzmann is the CEO of nebenan.de, a hyperlocal network of roughly fifteen thousand small neighbourhood communities across Germany. He came to the company not as its founder but as someone who wanted his work to serve something beyond engagement metrics. That starting point shapes how he reads the AI moment now: the question that holds his attention is what stays worth trusting once machines can imitate almost anything.

️ Chapter markers

[00:30] The assumption that scale equals value, and what it cost

[11:03] Why the right amount of friction changes how people think

[15:46] Comfortable, uncomfortable, difficult, impossible: raising kids and running a company

[32:18] Going first: why a leader who won't learn the tools won't last

[36:54] What AI changes, and the human proof he now demands

Links

Philipp Witzmann on LinkedIn - https://www.linkedin.com/in/nachbar/

Eva Simone Lihotzky on LinkedIn - https://www.linkedin.com/in/evalihotzky/

nebenan.de - https://nebenan.de

Scott Galloway on AI companions and young people - https://www.heise.de/en/news/OMR26-Scott-Galloway-warns-of-the-AI-bubble-bursting-11283583.html

Related episode — AI acts like a mirror for your organization with Simon Berkler https://open.spotify.com/episode/6y8PMaVUnZVAR1hOAR15DN?si=jHarNbZSQdSfGeChvOntpQ
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Über diesen Podcast

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.
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The in-between trust podcast • A podcast on Spotify for Creators
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Eva Simone Lihotzky
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