Data Access and AI Explainability
| dc.contributor.author | Pasquale, Frank | |
| dc.date.accessioned | 2026-04-16T12:52:36Z | |
| dc.date.available | 2026-04-16T12:52:36Z | |
| dc.date.issued | 2025 | |
| dc.identifier | ONIX_20260416T142753_9781009627351_42 | |
| dc.identifier.uri | https://doab-dev.siscern.org/handle/20.500.12854/208821 | |
| dc.description.abstract | As managers digitize judgment using AI, their evaluations of persons risk imposing benefits and burdens in opaque and unaccountable ways. This Element offers a useful evaluative framework for those interpreting and applying laws of data protection and AI explainability. This title is also available as Open Access on Cambridge Core. | |
| dc.language | English | |
| dc.relation.ispartofseries | Elements in Data Rights and Wrongs | |
| dc.subject.classification | thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNQ IT and Communications law / Postal laws and regulations | |
| dc.subject.other | Law and technology | |
| dc.subject.other | 72F social | |
| dc.subject.other | Education | |
| dc.title | Data Access and AI Explainability | |
| dc.type | book | |
| oapen.identifier.doi | 10.1017/9781009627351 | |
| oapen.relation.isPublishedBy | 12615a55-20f1-4eb5-a6c9-5eb6541f63e5 | |
| oapen.relation.isbn | 9781009627351 | |
| oapen.relation.isbn | 978100962736897810096 | |
| oapen.imprint | Social Sciences | |
| oapen.series.number | EDRW | |
| oapen.pages | 84 |
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