dc.contributor.author | LAGIOIA, Francesca | |
dc.contributor.author | SARTOR, Giovanni | |
dc.date.accessioned | 2024-02-29T11:13:14Z | |
dc.date.available | 2024-02-29T11:13:14Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Joe CANNATACI, Valeria FALCE and Oreste POLLICINO (eds), Legal challenges of big data, Cheltenham ; Northampton : Edward Elgar Publishing, 2020, pp. 280-307 | en |
dc.identifier.isbn | 9781788976213 | |
dc.identifier.isbn | 9781788976220 | |
dc.identifier.uri | https://hdl.handle.net/1814/76646 | |
dc.description | Published: 04 September 2020 | en |
dc.description.abstract | After introducing the concept and methods of artificial intelligence, we shall consider the prospects of machine learning technologies, as applied to big data. We shall discuss the opportunities and risks of these technological developments. In particular we shall consider how AI on the one hand further expands the persistence and pervasiveness of citizens’ assessment and control, but on the other hand, can also support individuals. Finally, we shall address the regulation of artificial intelligence (AI), namely, how to ensure that AI benefits citizens and communities, respecting individual rights and social values. | en |
dc.language.iso | en | en |
dc.publisher | Edward Elgar Publishing | en |
dc.title | Artificial intelligence in the big data era : risks and opportunities | en |
dc.type | Contribution to book | en |
dc.identifier.doi | 10.4337/9781788976220.00017 | |