Analysis of Algorithmic Influence: A Healthcare-Focused Examination
The Algorithmic Impact Assessment (AIA) is a proposed process aimed at evaluating and governing the use of algorithms in public-sector data, with a particular focus on the healthcare sector. The first detailed proposal for this process has been presented by the National Medical Imaging Platform (NMIP), which is set to go into operation within the UK National Health Service (NHS) in 2025.
The AIA process is designed to be applicable not only within the NHS but also in the private sector and other public-sector contexts. It may have implications for data subjects and the general public in various sectors, as well as benefits for technology developers outside the healthcare sector.
The AIA process includes actionable steps that aim to ensure the fair and ethical use of algorithms, particularly in the handling of sensitive healthcare data. The process is intended to produce benefits for those represented in the data and affected by the technologies and their outcomes.
The goal of the AIA process is to create a system that evaluates and governs the use of algorithms in public-sector data, ensuring that they are used in a manner that benefits society, governments, public bodies, technology developers, data subjects, and those affected by the technologies and their outcomes.
The AIA process may have considerations that are not healthcare-specific, making it a versatile tool that can be adapted to various contexts. The implications of the AIA process extend beyond the healthcare sector, as it may have applications in other public and private-sector domains.
The proposal for the implementation of the AIA process within the NMIP is part of a broader effort to ensure the responsible and ethical use of technology in the healthcare sector. As the digitalisation of healthcare continues to grow, the need for processes like the AIA becomes increasingly important in protecting the rights and interests of all stakeholders.
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