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Chapter 9 in Democracy in the era of Artificial Intelligence: Opportunities and Risks
Abstract
The rapid integration of Artificial Intelligence into healthcare, ethical and privacy concerns are identified and addressed. The issues identified are patient trust, data security, health equity, and algorithmic bias. A systematic review method was applied, in which a comprehensive database and research search was performed. This approach provided a structured way to explore the defined issues. Studies suggest that an absence of standard governance may be a barrier to physicians delivering quality healthcare and regulation may exacerbate the healthcare disparities and could undermine the patients’ autonomy. Additionally, significant gaps in several domains such as data privacy protection, informed consent, and bias management of Artificial Intelligence systems have been addressed by the analysis. Moreover, there is a critical need to formulate coherent, cross-disciplinary, and human-centric policies that steer the development and implementation of Artificial Intelligence in healthcare. To ensure transparency and sustainability, this project will suggest a comprehensive set of regulations.