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AI and epigenetic responsibility

Hedlund, Maria LU (2024) p.110-128
Abstract
This chapter discusses implications for epigenetic responsibility that the application of artificial intelligence (AI) in the analysis of epigenetics gives rise to. AI technology has a capacity to see patterns in big data sets and can help improve accuracy in epigenetic based diagnostics, prognostics, and therapy. However, characteristics of AI systems such as their black-box character, and their ability to act autonomously and to improve over time without any direct involvement of humans, have repercussions for responsibility ascription. In the context of AI-based epigenetic analysis in the clinic, questions of epigenetic responsibility are interwoven with responsibility issues connected with AI in several ways that increase both... (More)
This chapter discusses implications for epigenetic responsibility that the application of artificial intelligence (AI) in the analysis of epigenetics gives rise to. AI technology has a capacity to see patterns in big data sets and can help improve accuracy in epigenetic based diagnostics, prognostics, and therapy. However, characteristics of AI systems such as their black-box character, and their ability to act autonomously and to improve over time without any direct involvement of humans, have repercussions for responsibility ascription. In the context of AI-based epigenetic analysis in the clinic, questions of epigenetic responsibility are interwoven with responsibility issues connected with AI in several ways that increase both individual and collective forward-looking responsibilities. This chapter illustrates the particular aspect of how health care professionals will have to take on certain forward-looking responsibilities to handle the relation to AI assisted epigenetic analysis and the patient. (Less)
Please use this url to cite or link to this publication:
author
organization
alternative title
AI och epigenetiskt ansvar
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
epigenetic responsibility, forward-looking responsibility, individual responsibility, collective responsibility, artificial intelligence (AI), AI-based epigenetic analysis
host publication
Epigenetics and responsibility : Ethical perspectives - Ethical perspectives
editor
Moormann, Emma ; Smajdor, Anna and Cutas, Daniela
pages
19 pages
ISBN
978-1-5292-2542-6
978-1-5292-2543-3
language
English
LU publication?
yes
id
b07959b6-9732-4098-a22c-249935d0ca9f
alternative location
https://www.jstor.org/stable/jj.9827046.10
date added to LUP
2024-01-22 11:14:05
date last changed
2024-01-29 12:01:24
@inbook{b07959b6-9732-4098-a22c-249935d0ca9f,
  abstract     = {{This chapter discusses implications for epigenetic responsibility that the application of artificial intelligence (AI) in the analysis of epigenetics gives rise to. AI technology has a capacity to see patterns in big data sets and can help improve accuracy in epigenetic based diagnostics, prognostics, and therapy. However, characteristics of AI systems such as their black-box character, and their ability to act autonomously and to improve over time without any direct involvement of humans, have repercussions for responsibility ascription. In the context of AI-based epigenetic analysis in the clinic, questions of epigenetic responsibility are interwoven with responsibility issues connected with AI in several ways that increase both individual and collective forward-looking responsibilities. This chapter illustrates the particular aspect of how health care professionals will have to take on certain forward-looking responsibilities to handle the relation to AI assisted epigenetic analysis and the patient.}},
  author       = {{Hedlund, Maria}},
  booktitle    = {{Epigenetics and responsibility : Ethical perspectives}},
  editor       = {{Moormann, Emma and Smajdor, Anna and Cutas, Daniela}},
  isbn         = {{978-1-5292-2542-6}},
  keywords     = {{epigenetic responsibility, forward-looking responsibility, individual responsibility, collective responsibility, artificial intelligence (AI), AI-based epigenetic analysis}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{110--128}},
  title        = {{AI and epigenetic responsibility}},
  url          = {{https://www.jstor.org/stable/jj.9827046.10}},
  year         = {{2024}},
}