Algorithmic Transparency in the Public Sector
By Natalia Domagala Drawing on her professional experience working on data ethics, open data and open government, Domagala explains the concept of algorithmic transparency and why is is a critical need in our society today. She shares different examples of algorithmic transparency measures from Europe and North America with a special focus on the UK’s new Algorithmic Transparency Standard. She concludes her module with an outlook on the field of algorithmic transparency over the next few years and suggestions on what actors in the field ought to focus on going forward.
Read, Watch, and Listen
- The UK's Algorithmic Transparency Standard,
- NYC AMPO Summary of Agency Compliance Reporting, Thamkittikasem, J. (2020) "Summary of Agency Compliance Reporting", New York City Algorithms Management and Policy Officer.
- Etalab France: Expliquer les algorithmes publics,
- Canada's Algorithmic Impact Assessment Tool,
- Algorithmic Accountability for the Public Sector, Ada Lovelace Institute, AI Now Institute and Open Government Partnership. (2021). Algorithmic Accountability for the Public Sector. Available at: https:// www.opengovpartnership.org/documents/algorithmic-accountability-public-sector/
- Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector, Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute. https://doi.org/10.5281/zenodo.3240529
- Open Algorithms: Lessons Learned from the Open Data Movement, Soizic Pénicaud, Natalia Domagala, & Simon Chignard. (2021, August 20). Open Algorithms: Lessons Learned from the Open Data Movement. https://doi.org/10.5281/zenodo.5227308
- Public AI Registers: Realising AI transparency and civic participation in government use of AI, Haataja, M., Van de Fliert, L., and Rautio, P. (2020) "Public AI Registers: Realising AI transparency and civic participation in government use of AI."