When an AI system causes harm — a wrong medical diagnosis, a biased hiring decision, a fatal autonomous vehicle accident — who is responsible?
The Accountability Gap
- AI developers often disclaim liability via terms of service
- Organizations deploying AI may blame the model
- Victims are left without recourse
- Traditional legal frameworks weren't designed for AI
Emerging Frameworks
- EU AI Act: Imposes obligations on high-risk AI system operators
- Product liability: Treating AI outputs as products with liability
- Algorithmic auditing requirements
Key Principle
Deploying an AI system means owning its outcomes. "The algorithm did it" is not an ethical defense.
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