Al Code of Ethics

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Ethics is based on well-founded standards of right and wrong that prescribe what humans ought to do, usually in terms of rights, obligations, benefits to society, fairness, or specific virtues. It set…

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AI ethics is a branch of ethics that focuses on the moral implications of artificial intelligence. It guides the responsible development, use, and impact of AI so that AI systems support human values …

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Fairness, transparency, accountability, privacy, and safety are the guiding principles of AI ethics. These principles help reduce harm, improve trust, and support responsible use of AI.

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Transparency makes it easier to understand how an AI system reaches a decision. Many AI systems work like black boxes, so transparency helps detect errors, reduce bias, and improve responsibility.

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Accountability means it should be clear who is responsible for the actions of an AI system. This is important when an AI system causes harm, makes a wrong decision, or behaves unexpectedly.

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AI bias refers to systematic and repeatable errors in an AI system that create unfair outcomes, such as privileging one category over another in ways different from the intended function of the algori…

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The main sources of AI bias are biased training data, flaws in algorithm design, and human developer bias. Any of these can lead to unfair outcomes in the final AI system.

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If the training data is biased, the AI learns those patterns and repeats them. For example, if one group is overrepresented or underrepresented, the system may make unfair or inaccurate decisions for …