Problematic aspects of medical artificial intelligence. Part 2

The capabilities of artificial intelligence (AI) and machine learning (ML) are growing at an unprecedented pace. These technologies have many useful applications, from machine translation to medical image analysis. Countless more such applications are currently being developed and can be expected in the long term. Unfortunately, not much attention has been paid to the weak and unpleasant sides of artificial intelligence. In our reviews, we examine the landscape of existing and potential problems associated with the use of innovative neural network technologies, suggesting that special attention be paid to ways to prevent and mitigate dangers and threats. The goal of our publication is to expand the circle of stakeholders and subject matter experts participating in the discussion of pressing issues of cyber security of medical AI, responsible approach to the vulnerabilities of neural network platforms, protection of equipment along with the formation of a safe landscape for its use, and the importance of legal and ethical regulatory tools.

Authors

Publication Details

Journal
Sociology of Medicine
Published
2024-09-13
DOI
https://doi.org/10.17816/socm622965
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Problematic aspects of medical artificial intelligence. Part 2

Виталий Анатольевич Бердутин
Sociology of Medicine
Artificial Intelligence in Healthcare and Education
article

Problematic aspects of medical artificial intelligence. Part 2

Виталий Анатольевич Бердутин
article en

Abstract

The capabilities of artificial intelligence (AI) and machine learning (ML) are growing at an unprecedented pace. These technologies have many useful applications, from machine translation to medical image analysis. Countless more such applications are currently being developed and can be expected in the long term. Unfortunately, not much attention has been paid to the weak and unpleasant sides of artificial intelligence. In our reviews, we examine the landscape of existing and potential problems associated with the use of innovative neural network technologies, suggesting that special attention be paid to ways to prevent and mitigate dangers and threats. The goal of our publication is to expand the circle of stakeholders and subject matter experts participating in the discussion of pressing issues of cyber security of medical AI, responsible approach to the vulnerabilities of neural network platforms, protection of equipment along with the formation of a safe landscape for its use, and the importance of legal and ethical regulatory tools.

Sociology of Medicine
Openalex Percentile: Top 89%
Artificial Intelligence in Healthcare and Education
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