How can policy analysis benefit from AI and human-in-the-loop approach
| dc.creator | Song, Chun | |
| dc.creator | Ng'ethe, Regina Waithera | |
| dc.date | 2026-04-30 | |
| dc.date | 2026-05-07T13:54:00Z | |
| dc.date.accessioned | 2026-06-27T13:33:07Z | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/182822 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/62953 | |
| dc.language | en | |
| dc.rights | Open Access | |
| dc.source | Song, C.; Ng'ethe, R.W. (2026) How can policy analysis benefit from AI and human-in-the-loop approach. 4 p. | |
| dc.subject | participatory approaches | |
| dc.subject | artificial intelligence | |
| dc.subject | policy analysis | |
| dc.subject | policy studies | |
| dc.title | How can policy analysis benefit from AI and human-in-the-loop approach | |
| dc.type | Brief |
