Generative AI Ethics: Navigating Challenges and Opportunities

Gen AI Learner Series
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Algorithms that create new content like text, images, and music. The document explores key ethical issues like bias and fairness, transparency and explainability, privacy and data security, autonomy and control, and accountability and responsibility. It also discusses frameworks for responsible development and deployment, including guidelines, regulations, and stakeholder perspectives.

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  1. 2024/11/08

    Generative AI Ethics: Navigating Challenges and Opportunities

    Algorithms that create new content like text, images, and music. The document explores key ethical issues like bias and fairness, transparency and explainability, privacy and data security, autonomy and control, and accountability and responsibility. It also discusses frameworks for responsible development and deployment, including guidelines, regulations, and stakeholder perspectives. Furthermore, the document covers the social and societal impacts of generative AI, such as its influence on employment, culture, and creativity, and explores its ethical use cases in fields like healthcare, education, and art.

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Algorithms that create new content like text, images, and music. The document explores key ethical issues like bias and fairness, transparency and explainability, privacy and data security, autonomy and control, and accountability and responsibility. It also discusses frameworks for responsible development and deployment, including guidelines, regulations, and stakeholder perspectives.

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