AI, Global Health and Algorithmic Society: Biodata’s democraticuse and regulation

Abstract

Global health policies within an algorithmic society are developed through tensions between citizenship rights and market interests. In a “global health” timeline, the development of artificial intelligence (AI) has added greater complexity to these policies due to its potentialities and risks. If, on the one hand, the health sector is under the domination of the market’s techno-digital policies, which have undoubtedly brought improvements to the industry through the evolution of AI, on the other hand, one cannot ignore the abusive position of business corporations that feed their algorithmic networks through the mega data flows. In this context, two main points are analysed. The first highlights two ways of using data in the health sector that reflect a democratic and a non-democratic use of the same. While the democratic use emphasizes the potential of AI in the health sector, the non-democratic use reflects the tensions/risks arising from data extraction combined with financial and business logics, with an impact on privacy and security, and transparency. The second, seeking to eliminate or mitigate these main risks, analyzes the axis of governance and regulation of global health data in relation to AI.