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Who is accountable for AI errors? #AIaccountability

National AI Policy: Who is responsible when AI goes wrong?

The draft National AI Policy 2024 by the Bangladesh Government focuses on principles like equity, accountability, safety, and collaboration. While it addresses issues like AI transparency and accountability, there are concerns about the lack of involvement of civil society in the policy-making process. AI accountability is crucial as AI systems are being implemented in various sectors, raising questions about who should be held responsible for AI mistakes. The lack of free will and consciousness in AI systems makes assigning moral responsibility challenging. The policy aims to ensure explainable and interpretable AI decision-making processes, but deep learning systems present challenges in this regard. The evolving nature of AI technology and the dominance of major international corporations in the field pose challenges for AI accountability. The draft policy needs to be more comprehensive in addressing ethical concerns like AI accountability. Policymakers need to act swiftly in enacting and updating these policies to address fundamental ethical questions about AI as it becomes more widespread in society.

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Source link: https://www.tbsnews.net/thoughts/national-ai-policy-who-responsible-when-ai-goes-wrong-887076?amp

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