Policies for Artificial Intelligence in Science and Innovation

Alan Paic
2020 Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019)   unpublished
Participants discussed the disruptive nature of AI and the formidable challenges it poses. Most of the discussion focused under the umbrella title of ethics, but they span very different issues of human-centered values, fairness, transparency, explainability, and many more. Other challenges include employment, education, SME policy, enabling environment, access to data and computing technology. Responses by governments were also discussed with a particular focus on national strategies, whose
more » ... trategies, whose main pillars are oriented toward knowledge creation through AI research, knowledge diffusion through linkages to the private sector, development of human capital which will underpin the development of the sector, and a strong values, ethical and regulatory framework to create the conditions for the development of trustworthy AI. In a world of finite resources, discussants concluded that one cannot apply very stringent requirements to all AI decisions, and there is clearly a need to require more transparency, explainability and robustness from systems which have the greatest impact on human lives. Therefore an approach based on algorithmic impact assessment seems reasonable. Such an approach needs to be further developed and standardized.
doi:10.22323/1.372.0045 fatcat:ij3rva3jfzbwrigua2ixffsvfy