#350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich

#350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich

From DataFramed by DataCamp

March 9, 2026 · 1h 10m

About this episode

Atay Kozlovski discusses the ethical implications and challenges of deploying AI in high-stakes environments.

Across the AI industry, high-stakes tools are being deployed in places where errors can harm people: sepsis alerts in hospitals, identity checks, welfare fraud detection, immigration enforcement, and recommendation systems that shape life outcomes. The pattern is familiar: scale and speed go up, while human review becomes rushed, shallow, or punished for disagreeing. In daily work, that can look like a nurse forced to act on false alarms, or a team using an LLM summary in ways the designers never planned. When should you slow down deployment? How do you detect new “wild” use cases early? And what does responsible tracking and oversight look like under real pressure? Atay Kozlovski is a Postdoctoral Researcher at the University of Zurich’s Center for Ethics. He holds a PhD in Philosophy from the University of Zurich, an MA in PPE from the University of Bern, and a BA from Tel Aviv University. His current research focuses on normative ethics, hard choices, and the ethics of AI. In the episode, Richie and Atay explore why AI failures keep happening, from automation bias to opaque targeting and hiring models. They unpack “meaningful human control,” accountability, and design in…

People in this episode

Host: Richie

Guest: Atay Kozlovski

Topics covered

Keywords

Mentioned in this episode

Organizations: University of Zurich, Amnesty International

Products: Lavender

Places: Israel, Zurich, Bern, Tel Aviv

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