Information for students, faculty and staff regarding COVID-19. (Updated: 8 April 2020)
The research group in Responsible AI was established to study the ethical and societal impact of AI, while supporting policymakers through the development of tools and methodologies to mitigate adverse effects.
We are interested not only in the development of intelligent agents, but also in understanding the effects of their deployment on our societies. We are working to ensure the ethical application of Artificial Intelligence (AI), both through:
Our diverse multidisciplinary research programme aims to help all relevant actors to have access to the means and tools to develop, deploy, operate, and govern systems, while taking any ethical, legal, and socio-economics implications into consideration.
The AI research groups at the Department of Computer Science, Umeå University, Sweden, have established a Visiting Fellowship program to foster the development of links with international scholars (at least 5 years post doctorate). This Fellowship is an exciting opportunity for scholars to visit the Department, contribute to its academic life and form new collaborations. The focus of the Fellowship is on the impact of Artificial Intelligence, in the broadest sense, a key strength and unifying feature of the AI cluster, or on a substantive area of interest within AI cluster.
Proposals for collaborative research with members of the AI cluster are especially welcome. Applicants are therefore strongly encouraged to engage on interaction with members of the cluster prior to submitting their application for visiting fellowship program. We expect to support 3 to 5 fellowships per year.
Closing date for visiting fellowship applications for the Fall 2019 / Spring 2020 is 21 August 2019. Notifications will be send out by early September 2019.
Application form is here
One of the reasons is the ongoing large investment in AI, autonomous systems and software.
The framework support decision makers to evaluate interventions and effects in a simulated world.
StarNEig has been developed at the Department of Computing Science.
The project is on digital twins for decision support and resource optimization in business models.
Niclas Börlin awarded by ASPRS.