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SUMMARY:Ethical and legal aspects of AI training in healthcare - Chiara Ga
 llese\, University of Turin
DTSTART:20230822T130000Z
DTEND:20230822T140000Z
UID:TALK204232@talks.cam.ac.uk
CONTACT:Pietro Lio
DESCRIPTION:Abstract: In recent years\, the European Commission has publis
 hed multiple legislative proposal that have an impact on AI systems and Da
 ta Science\, for example the AI Act and the AI Liability Directive. These 
 pieces of legislation prescribe a number of different obligations on AI pr
 oviders\, distributors\, and users\, such as many new requirements on data
  management of high-risk systems (e.g.\, medical devices)\, that need to b
 e coordinated with the legal provisions already in force\, such as GDPR. A
 t the same time\, the field of AI auditing has been gaining popularity amo
 ng researchers and companies\, who have been joining efforts to apply ethi
 cal principles to the whole AI development lifecycle\, including the data 
 collection phase\, in order to comply with ethical and legal principles. T
 he topic is particularly important in the context of healthcare since AI s
 ystems in this field process a significant amount of personal data and AI 
 developers need to apply a complex framework of principles\, especially in
  view of the upcoming laws. This lecture will illustrate the legal and eth
 ical issues of employing health data for AI training and it will show an e
 xample of how to apply ethical and legal principles in practice. This talk
  is part of the EU funded MSCA project "DataCom".
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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