10. AI Ethics
The chapter discusses the importance of AI Ethics, which encompasses the moral principles and guidelines governing AI development and use. Major ethical concerns include bias, lack of transparency, job displacement, misinformation, and privacy violations. To address these issues, ethical AI principles and frameworks are outlined, focusing on fairness, accountability, and safety to ensure that AI technology benefits society without causing harm.
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What we have learnt
- AI Ethics ensures that AI systems respect human rights and promote fairness.
- Key ethical concerns include bias, lack of transparency, and privacy violations.
- Global organizations advocate for principles such as fairness, accountability, and safety in AI.
Key Concepts
- -- AI Ethics
- The moral principles and guidelines that govern the development and use of Artificial Intelligence.
- -- Bias
- A tendency of AI systems to produce outcomes that are prejudiced due to flawed training data or algorithms.
- -- Transparency
- The principle that AI decisions should be explainable and understandable, especially in high-stakes applications.
- -- Accountability
- The requirement that there should be clear responsibility for actions taken by AI systems.
- -- Privacy
- The ethical obligation to protect personal data used in AI systems.
Additional Learning Materials
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