AI and epigenetic responsibility
(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:
https://lup.lub.lu.se/record/b07959b6-9732-4098-a22c-249935d0ca9f
- author
- Hedlund, Maria LU
- organization
- alternative title
- AI och epigenetiskt ansvar
- publishing date
- 2024-01-25
- 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}}, }