AI Ethics: Bridging Innovation with Morality
DOI:
https://doi.org/10.48047/rb2f7m94Keywords:
AI ethics, Bias; Data Security; Sociology, Robo ethics.Abstract
With advancements in face recognition, self-driving cars, and medical diagnostics, artificial intelligence (AI) is having an
increasing impact on people and society. AI has the amazing potential to significantly improve human wellbeing and advance both socially and economically. However, because to obstacles such limited viability, data biases, data security, and some privacy concerns, AI also presents significant risks. To reduce hazards, users and developers need to be aware of these drawbacks and take appropriate action. To anticipate and lessen negative effects, it is essential to identify possible areas of danger across the AI life cycle. Even though "machine ethics" research started in 2006, AI ethics is still a relatively new area of study within ethics more broadly. Establishing appropriate ethical principles, norms, standards, rules, and regulations requires an understanding of AI ethics and how to develop ethical AI. AI that is ethical acts and behaves in a morally upright way.
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References
M. Boden, “AI: Its nature and future”, Oxford University Press, 2016.
L. Floridi, “AI and its new winter: From myths to realities”, Philosophy & Technology, 2020.
R. Bendici, “Rise of the machines”, Univ. Bus, Vol. 21(10), pp. 53–54, 2018.
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