9786207448579 - Principles and Challenges of Responsible Generative AI: Principles and Challenges of Responsible Generative Artificial Intelligence de Lin, Wilfred W. K. (8 resultados)

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Taschenbuch. Condición: Neu. Principles and Challenges of Responsible Generative AI | Principles and Challenges of Responsible Generative Artificial Intelligence | Wilfred W. K. Lin | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207448579 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 104 pp. Englisch.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lin Wilfred W.K.Dr. Wilfred W.K. Lin is the Co-founder, Chief Data Analytics Director - HerbMiners Informatics Limited. Wilfred graduated from B.A. (1st Hon.), M.Phil. and Ph.D. degrees from Department of Computing, the Hong Kong Po.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Generative AI has the potential to revolutionize many aspects of our lives, but it also raises important ethical and social concerns. Responsible generative AI development requires a thoughtful and proactive approach to addressing these challenges.Principles of Responsible Generative AISeveral principles can guide the development and deployment of responsible generative AI:Transparency and Explainability: Generative AI models should be transparent and explainable, allowing users to understand how they generate outputs and make decisions. This transparency is crucial for building trust and ensuring that models are not used in harmful or discriminatory ways.Fairness and Non-discrimination: Generative AI models should be fair and non-discriminatory, avoiding biases that could perpetuate or exacerbate existing inequalities. This requires careful consideration of the data used to train models and the potential for bias to be amplified through the generative process.Accountability and Responsibility: Developers and deployers of generative AI should be accountable for the impacts of their models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Generative AI has the potential to revolutionize many aspects of our lives, but it also raises important ethical and social concerns. Responsible generative AI development requires a thoughtful and proactive approach to addressing these challenges.Principles of Responsible Generative AISeveral principles can guide the development and deployment of responsible generative AI:Transparency and Explainability: Generative AI models should be transparent and explainable, allowing users to understand how they generate outputs and make decisions. This transparency is crucial for building trust and ensuring that models are not used in harmful or discriminatory ways.Fairness and Non-discrimination: Generative AI models should be fair and non-discriminatory, avoiding biases that could perpetuate or exacerbate existing inequalities. This requires careful consideration of the data used to train models and the potential for bias to be amplified through the generative process.Accountability and Responsibility: Developers and deployers of generative AI should be accountable for the impacts of their models.