Ethical Issues of Artificial Intelligence (AI) in the Healthcare

Abstract

The idea of integrating ethics into artificial intelligence (AI) increased globally, and it became an important policy objective in many countries. The ethics of AI has seen significant press coverage in recent years, which supports related research, but also may end up undermining it. The issues under discussion were just predictions of what future technology will bring, and we already know what would be most ethical and how to achieve that. This paper is a literature review in nature; it analyzes previous studies related to implementation of ethics in AI. The literature results indicate that between 2010 and 2021, there were 150 AI ethical incidents; including data privacy and security risks, safety concerns, bias diagnosis, the possibility of hostile entities taking control of AI, a lack of interpersonal communication or a humanistic perspective, wealth concentration around an AI business and job losses. The findings obtained from this literature review can help to propose method for AI; it's, indeed, an avenue for researchers to understand ethics needed in AI. Thus, this is crucial to provide suitable suggestions on planning the next course of action on how to integrate ethics in AI in the future.

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