Mattias Brännström is a Research Engineer and a member of Responsible AI group, Department of Computing Science, Umeå University

Abstract: Many policies, standards and regulations on Artificial Intelligence (AI) have been presented or are in the pipes. A common problem in these is that they are often too abstract, too specific, or both at the same time to apply to real-world projects. The issues and risks related to the various technologies under the AI umbrella are highly context dependent and it is difficult to find any particular abstraction level on which to approach them. In this talk, I describe a context-aware structure which in a manner similar to Value Sensitive Design bridges the gap between high-level values and actionable requirements and explicit design elements but also provides means of assessing compliance to those requirements. I describe how this approach can take a positive role in the AI developer-procurer-regulator ecosystem and some directions for further research and development. A demo of an implementation of the above, RAIN, developed by the Responsible AI group at Umeå University is also presented