| dc.contributor.author | Gasser, Urs | |
| dc.contributor.author | Almeida, Virgilio A.F. | |
| dc.date.accessioned | 2017-11-29T16:39:06Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Gasser, Urs, and Virgilio A.F. Almeida. 2017. “A Layered Model for AI Governance.” IEEE Internet Computing 21 (6) (November): 58–62. doi:10.1109/mic.2017.4180835. | en_US |
| dc.identifier.issn | 1089-7801 | en_US |
| dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:34390353 | |
| dc.description.abstract | AI-based systems are “black boxes,” resulting in massive information asymmetries between the developers of such systems and consumers and policymakers. In order to bridge this information gap, this article proposes a conceptual framework for thinking about governance for AI. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | doi:10.1109/MIC.2017.4180835 | en_US |
| dash.license | OAP | |
| dc.subject | Internet/Web technologies | en_US |
| dc.subject | AI governance | en_US |
| dc.subject | Internet governance | en_US |
| dc.subject | intelligent systems | en_US |
| dc.subject | autonomous systems | en_US |
| dc.subject | AI-based filtering algorithms | en_US |
| dc.subject | big data | en_US |
| dc.subject | algorithmic decision-making systems | en_US |
| dc.title | A Layered Model for AI Governance | en_US |
| dc.type | Journal Article | en_US |
| dc.description.version | Accepted Manuscript | en_US |
| dc.relation.journal | IEEE Internet Computing | en_US |
| dash.depositing.author | Gasser, Urs | |
| dc.date.available | 2017-11-29T16:39:06Z | |
| dc.identifier.doi | 10.1109/MIC.2017.4180835 | * |
| dash.contributor.affiliated | Gasser, Urs | |
