Equal treatment in asylum decisions: Can machine learning contribute to better decisions?
| Reference number | |
| Coordinator | Göteborgs universitet - Juridiska institutionen |
| Funding from Vinnova | SEK 400 000 |
| Project duration | November 2019 - December 2020 |
| Status | Completed |
| Venture | Challenge-Driven Innovation – Stage 1 initiation |
| Call | Challenge-driven innovation - step 1 initiation 2019 (autumn) |
Important results from the project
The project aims to contribute to innovative solutions in machine learning for increased gender equality (SDG 5) and reduced inequality (SDG 10), through strategic collaborations and partnerships between an authority (Migrationsverket), the academy (Department of Law at the University of Gothenburg) and innovation-driven entrepreneurship in AI (Smartr). Objectives and purposes are expected to be met at the end of the project, which is yet to be reached.
Expected long term effects
The project has so far not generated any results, as it is still in the start-up phase. We expect positive results from the current process.
Approach and implementation
The approach of producing data from the Swedish Migration Agency to produce a first algorithm analysis is the correct approach. The implementation of the project has been delayed due to the difficulty of producing data during the current pandemic.