Jenkins_Antonio_C464T2

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Jan 9, 2024

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Ethical Considerations in AI Development Unraveling the Ethical Tapestry Antonio B Jenkins 10/02/2023
Accountability & Legal Aspects • Only 15% of AI companies have an ethics board (Doe, 2022, TechCrunch Survey) • Legal frameworks for accountability (Harvard Law Review, 2022)
References 1.Smith, J. (2022). The Black Box Dilemma. Journal of AI Ethics. 2. Johnson, L. (2021). Transparency in AI: From Algorithm to Accountability. AI Magazine. 3.National Institute of Standards and Technology. (2022). Evaluating Gender Bias in Facial Recognition. 4.Williams, S. (2021). Algorithmic Fairness: Tackling Bias in AI. Journal of Machine Learning. 5.Doe, M. (2022). Ethics in AI: A Survey. TechCrunch. 6.Harvard Law Review. (2022). AI and Accountability: An Ethical and Legal Framework.
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References 1.Smith, J. (2022). The Black Box Dilemma. Journal of AI Ethics. 2. Johnson, L. (2021). Transparency in AI: From Algorithm to Accountability. AI Magazine. 3.National Institute of Standards and Technology. (2022). Evaluating Gender Bias in Facial Recognition. 4.Williams, S. (2021). Algorithmic Fairness: Tackling Bias in AI. Journal of Machine Learning. 5.Doe, M. (2022). Ethics in AI: A Survey. TechCrunch. 6.Harvard Law Review. (2022). AI and Accountability: An Ethical and Legal Framework.

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