Legal and Ethical Aspects of Machine Learning: Who Owns the Data?

Author(s)

Barbara Prainsack, Elisabeth Steindl

Abstract

This chapter starts with an overview of the key ethical issues that have been discussed in connection with artificial intelligence in general, and machine learning in particular, within the field of healthcare. We argue that, going forward, the deliberation and further development of ethics of AI and machine learning should be grounded more strongly in the field of data ethics than it is the case today. This is because of the specific nature of the digital data that enable machine learning and artificial intelligence. We then turn to the question of ownership, discussing what ownership means, and can mean, in the context of digital data, and who can legitimately own digital data used in and for imaging.

Organisation(s)

Department of Political Science, Research Platform Governance of digital practices, Department of Innovation and Digitalisation in Law

Pages

191-202

No. of pages

12

DOI

https://doi.org/10.1007/978-3-031-00119-2_14

Publication date

06-2022

Peer reviewed

Yes

Austrian Fields of Science 2012

505002 Data protection, 506010 Policy analysis

Keywords

ASJC Scopus subject areas

General Medicine

Portal url

https://ucrisportal.univie.ac.at/en/publications/06534d6b-e980-41f9-9ee1-9d931da84c52