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AI models and the future of genomic research and medicine: True sons of knowledge? Artificial intelligence needs to be integrated with causal conceptions in biomedicine to harness its societal benefits for the field

König, Harald ORCID iD icon 1; Frank, Daniel; Baumann, Martina 1; Heil, Reinhard ORCID iD icon 1
1 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)

Abstract:

The increasing availability of large-scale, complex data has made research into how human genomes determine physiology in health and disease, as well as its application to drug development and medicine, an attractive field for artificial intelligence (AI) approaches. Looking at recent developments, we explore how such approaches interconnect and may conflict with needs for and notions of causal knowledge in molecular genetics and genomic medicine. We provide reasons to suggest that—while capable of generating predictive knowledge at unprecedented pace and scale—if and how these approaches will be integrated with prevailing causal concepts will not only determine the future of scientific understanding and self-conceptions in these fields. But these questions will also be key to develop differentiated policies, such as for education and regulation, in order to harness societal benefits of AI for genomic research and medicine.


Verlagsausgabe §
DOI: 10.5445/IR/1000136356
Veröffentlicht am 12.08.2021
Originalveröffentlichung
DOI: 10.1002/bies.202100025
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0265-9247, 1521-1878
KITopen-ID: 1000136356
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Erschienen in Bioessays
Verlag John Wiley and Sons
Band 43
Heft 10
Seiten Art. Nr.: 2100025
Vorab online veröffentlicht am 11.08.2021
Nachgewiesen in Dimensions
Web of Science
Scopus
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