AI in Healthcare: Impacts, Risks and Regulation to Mitigate Adverse Impacts

Larasati, Retno (2023). AI in Healthcare: Impacts, Risks and Regulation to Mitigate Adverse Impacts. In: CEUR Workshop Proceedings of the 3rd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies, AiOfAi 2023, CEUR Workshop Proceedings (CEUR-WS.org), 3593 pp. 27–32.

URL: https://ceur-ws.org/Vol-3593/paper3.pdf

Abstract

The rapid advancements in artificial intelligence (AI) have revolutionised various industries, including healthcare. AI systems in healthcare hold immense potential for improving patient outcomes, accelerating diagnosis, and enhancing overall healthcare delivery. However, the introduction of AI in healthcare also brings forth significant ethical, legal, and societal implications that necessitate a robust regulatory framework. This position paper aims to discuss the use and the risk of AI in healthcare, and also how the regulations or guidelines aiming to mitigate their potential adverse impact on individuals and societies corresponds to it.

Viewing alternatives

Look up in Google Scholar

Download history

Item Actions

Export

About

CORE (COnnecting REpositories)