accountability in AI

‘Accountability in AI’ means making sure artificial intelligence is used ethically and responsibly. This involves tracking AI decisions, ensuring transparency, and setting up ways to address any harmful impacts.

What are the potential ethical concerns surrounding AI-powered decision-making systems?

AI-powered decision-making systems present several potential ethical concerns. These include issues of bias, privacy, accountability, and transparency. Algorithms used in AI systems can be biased, leading to discrimination against certain groups. Privacy can also be compromised as AI systems collect and analyze large amounts of personal data. Additionally, the accountability of AI systems is a concern as it can be challenging to determine who is responsible for errors or harm caused by these systems. Transparency is another concern, as AI models can be complex and difficult to understand, making it challenging to determine how decisions are made.

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