ETHICAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE: A REVIEW OF EARLY RESEARCH AND PERSPECTIVES
Keywords:
: artificial intelligence, ethics, bias, transparency, accountability, privacy, employment impact, regulatory frameworks, ethical guidelines, machine learningAbstract
The rapid advancement of Artificial Intelligence (AI) technologies has significantly transformed various sectors, including healthcare, finance, and transportation. However, these developments raise critical ethical concerns that require careful consideration. This review explores the early research and perspectives on the ethical implications of AI, focusing on issues such as bias and discrimination, transparency and accountability, privacy, and the impact on employment. By analyzing a range of scholarly articles, industry reports, and case studies, the review identifies key ethical challenges and frameworks proposed for addressing these issues. The findings highlight the necessity of developing ethical guidelines and regulatory frameworks to ensure that AI technologies are designed and deployed responsibly. Ultimately, this review aims to provide insights that contribute to the ongoing discourse on ethical AI, fostering a better understanding of the potential risks and benefits associated with its integration into society.
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