Ethical and Legal Considerations in Machine Learning

Abstract

Artificial intelligence (AI) poses a number of moral and legal challenges to modern civilization. These include invasions of privacy, discrimination, and the function of human judgment. The use of more recent digital technologies has sparked worries that they could introduce new forms of error and data breaches. For patients who fall prey to healthcare technique or protocol errors, the repercussions may be catastrophic. Keep this in mind at all times; patients often interact with doctors at times when they are feeling their weakest. The potential ethical and legal concerns raised by the widespread use of AI in healthcare settings are not yet adequately addressed by existing legislation. All parties participating in the process should be protected, and there should be openness and privacy in algorithms; also, there should be cybersecurity measures in place to address any vulnerability that may arise.

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