The main objective of this project is to critically interrogate the potential benefits and pitfalls of Artificial Intelligence deployment in the Norwegian public sector and consider what appropriate governance measures could be employed. This will contribute to preserving Norways' democratic values and the high levels of trust it enjoys from citizens, in the scramble to realise a data-driven public sector. This will be realized by • establishing an overview and baseline for AI adoption in the Norwegian public sector. • testing whether the risks and challenges already identified in current research are also relevant to the Norwegian context and identify if there are others which should be considered. • going beyond a general public sector assessment by taking three case studies, to investigate if there is a difference in the perceived risks and challenges depending on the level of access to data and competence within the public sector or whether the private sector is involved. • identifying the most pressing issues and gaps in governance of AI deployment in the Norwegain context. This should also be transferable to the Nordic and broader international context. • identifying, critically evaluating and recommending potential remedies, including both soft and hard law tools. A multi-disciplinary approach will be taken, concentrating primarily on the legal, ethical and social challenges emerging in the adoption of this technology within the public sector. Research will be performed empirically and is inspired by critical data and algorithm studies. The project will begin by establishing the status within the public sector. It will take three case studies, namely a data & competence rich organization, a data & competence poor organization and a public-private partnership, to ascertain if risks and challenges differ depending upon the environment within which AI is deployed. It will then proceed to investigate and recommend governance remedies.
Project leader: Heather Broomfield
Category: Øvrige offentlige