🎓 All Courses | 📚 AI Ethics & Responsible AI Syllabus
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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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Reference:

EU AI Act

image for linkhttps://artificialintelligenceact.eu/

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