Ethical AI Integration in Critical Healthcare & Mitigating Biases
What Are The Ethical Considerations And Strategies To Mitigate Biases When Integrating AI Powered Decision Making Systems In Critical Healthcare Settings?
Abstract
The increasing integration of artificial intelligence (AI) into society has created myriad legal and ethical dilemmas. This article examines the key concerns raised by the adoption of AI, particularly in healthcare settings. It explores issues of privacy and surveillance, bias and discrimination, and the interplay between artificial intelligence and human judgment. In addition, the potential risks associated with new digital technologies will be discussed, including data breaches and inaccuracies. Given the patients’ vulnerability in dealing with the doctor and the lack of clearly defined rules in this area, the importance of mitigating errors in treatment protocols was highlighted. The document calls for measures to ensure algorithmic transparency, protect privacy, protect all stakeholders and address cyber vulnerabilities to support the responsible implementation of AI in healthcare and beyond.
Key Words: Artificial Intelligence, Ethical issues, Bias, Healthcare
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