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Generative AI, a form of artificial intelligence capable of creating content, poses significant ethical challenges that need to be carefully considered. Key issues include misinformation, bias, plagiarism, privacy risks, and economic impacts from job automation. Responsible use practices emphasize verifying content, avoiding harmful applications, and giving proper credit. Additionally, fostering transparency, better training data, and human oversight can promote a more ethical approach to AI.
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References
ch17.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Generative AI
Definition: A type of AI that can create or generate new content such as text, images, and music.
Term: Ethics in AI
Definition: Moral principles that guide the development and use of artificial intelligence.
Term: Bias and Discrimination
Definition: The presence of unfair treatment or stereotyping in AI outputs due to biased training data.
Term: Misinformation
Definition: False or misleading information generated by AI systems, potentially impacting public perception.
Term: Intellectual Property
Definition: Legal rights regarding the use of creations or content generated by AI, particularly concerning copyright issues.