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Cyber Security and Securing Subjective Patient Quality Engagements in Medical Applications: AI and Vulnerabilities
  • Marcus Wigan
Marcus Wigan
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Arguments about the appropriate valuation of life in public policy have generally moved from accounting resource costs to revealed preference valuations. In medical and public health, the valuation of the ‘quality” life experience over time (a very different concept) has focused on equivalents to an unconstrained life experience. The user perspective on these valuations is largely missing and has substantial implications for both individuals and organizations. As these summary measures are fundamental to current triage and assessment processes, they have considerable importance for individuals. This highlights a number of different channels that can bias the assessment of individuals in specific circumstances when AI support is used, as a wide range of inferences from diverse data is then brought to bear and amplifies health data security scope and importance. These intermediate aggregate channel security vulnerabilities have not previously been highlighted, in spite of the importance attached to these summary measures in public health. The collision of totally individualized assumed impacts and end user consequences are amplified rapidly by Ai methods in support of decisions, and the security and privacy-if any left-of individual medical AND life data are thus jointly at cyber risk.
Sep 2022Published in IEEE Transactions on Technology and Society volume 3 issue 3 on pages 185-188. 10.1109/TTS.2022.3190766