EPISODE · Sep 11, 2025 · 6 MIN
Episode 27: AI Liability & Accountability
from AI-Ignited · host Elif Başer
Today on AI Ignited host Elif Baser and guest Ece Kuzuimamlar dive into the critical question shaping the future of artificial intelligence: When AI goes wrong, who’s to blame?From self-driving car accidents to biased hiring algorithms, the legal system is trying to keep pace. Together, they explore how liability is assigned — whether to developers, deployers, or corporations — and why AI itself can’t be held accountable. Drawing on insights from the Carnegie Council, Ece explains how regulators are adapting product safety laws, enforcing transparency and explainability.This episode unpacks real-world cases, the European Union’s AI Act, and future models for risk-sharing like AI insurance pools. Whether you’re in tech, law, or just curious about the balance between innovation and law, this conversation highlights why accountability is essential for trust in AI.
What this episode covers
Today on AI Ignited host Elif Baser and guest Ece Kuzuimamlar dive into the critical question shaping the future of artificial intelligence: When AI goes wrong, who’s to blame?From self-driving car accidents to biased hiring algorithms, the legal system is trying to keep pace. Together, they explore how liability is assigned — whether to developers, deployers, or corporations — and why AI itself can’t be held accountable. Drawing on insights from the Carnegie Council, Ece explains how regulators are adapting product safety laws, enforcing transparency and explainability.This episode unpacks real-world cases, the European Union’s AI Act, and future models for risk-sharing like AI insurance pools. Whether you’re in tech, law, or just curious about the balance between innovation and law, this conversation highlights why accountability is essential for trust in AI.
NOW PLAYING
Episode 27: AI Liability & Accountability
No transcript for this episode yet