Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability
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Abstract
As artificial intelligence (AI) continues to permeate various aspects of our lives, the ethical challenges associated with its development become increasingly apparent. This paper navigates and reviews the ethical dilemmas in AI development, focusing on strategies to promote transparency, fairness, and accountability. The rapid growth of AI technology has given rise to concerns related to bias, lack of transparency, and the need for clear accountability mechanisms. In this exploration, we delve into the intricate ethical landscape of AI, examining issues such as bias and fairness, lack of transparency, and the challenges associated with accountability. To address these concerns, we propose strategies for…
Citation impact
170
total citations
- FWCI
- 79.69
- Percentile
- 100%
- References
- 34
Citations per year
Authors
4Topics & keywords
Keywords
- Accountability
- Transparency (behavior)
- Psychology
- Engineering ethics
- Political science
- Business
- Process management
- Accounting
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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