Eva Simone Lihotzky

speaker

1,257 appearances 15 recordings 1 series first heard May 2026 last heard 27 Aug

Eva Simone Lihotzky’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 15 in all, peaking in Aug 2026 with 4.

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The In-Between Tech and Trust Podcast · AI Governance Structures To Ensure Trust - Solo Episode (EP 33) · 24 Jul 2026 podcast

And that's the so-called also human in the loop, because it's by design so, right?

So you analyze it, the system responds, but nothing happens without you asking for it.

And so the next level of that is agenda.

And it it it changes the relationship because agentic systems they are designed to pursue goals.

They plan, they use tools, they execute in multi-steps, they execute on tasks and they coordinate with other agents within a system.

And you might think of them as a team collaborating towards a dedicated outcome.

And some of you might remember that earlier the

This year I've described that when I came back from Davos and talked about those agentic infrastructures that are more and more evolving.

And so the human moves from being the operator of every single step into the designer and supervisor of that exact agentic system.

And that last right there, that is the so called like shift that we're now looking into because

We need to define if our actions and des did the design that we chose behind it if it was the right one and we're not not solely looking at output anymore.

And what we can can now see arise on the horizon is physical AI.

And that in itself is so interesting because intelligence is entering the physical world through robots, through autonomous vehicles and

The machines that are perceiving their environment, and those machines they act upon the environment that they are contextualized in.

And so physical AI is built on the so-called world models, which are neural networks that understand the dynamics of like the exact real world that those machines act within.

And that also includes physics and the spatial properties.

Amongst it.

And ever since the beginning of the year, this exact shift has accelerated, including the commercial side of it.

So for example, Nvidia framed their physical AI as the commercial inflection point this year at CES.

And market forecasts project the field to grow at roughly forty seven percent annually throughout 2032.

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