TRACK 12: Assessing and Realizing Artificial Intelligence in Government
Track Chairs: Sehl Mellouli (Université Laval, Canada), Marijn Janssen (Delft University of Technology, The Netherlands), Adegboyega Ojo (Carleton University, Canada)
In the last years, governments are trying to increasingly using artificial intelligence (AI) to support decision-makers and policymakers. In this context, AI is providing several benefits to different public services across different sectors such as finance, healthcare, security, agriculture, transport, education, and manufacturing. AI is based on a set of methods and techniques including deep learning, neural networks, genetic algorithms, expert systems, natural language processing, robotics and knowledge representation and reasoning. These techniques are evolving rapidly and governments should be aware of these evolutions and find the ways to effective harness and manage them. In addition, Governments are not only looking for new applications of AI in automated decisions and improving policy-making but also at the impacts that AI can have on the different levels of government. Yet realization proves to be more cumbersome and there is a need for assessment of AI projects from various views. Hence, the purpose of this track is to investigate how AI is being implemented and adopted in governments at different levels, what AI is adding to governments and how to ensure that AI adoption in government is safe and beneficial to the public at large.
