How do people feel about AI-driven decision-making

• Radboud University: Frederik Zuiderveen-Borgesius, Tibor Bosse, Gabi Schaap, Marvin van Bekkum, Iris van Ooijen, Iris van Rooij
• External partners: Maaike Harbers (Rotterdam University of Applied Sciences, UAS) and Tjerk Timan (TNO).

Our society can benefit tremendously from artificial intelligence (AI). AI advances important goals, such as efficiency and economic growth. AI can help to predict where car accidents will occur, who will commit fraud, who can repay a mortgage, etc. But AI-driven decisions about people can also have unfair or discriminatory effects. The interdisciplinary team (computer science, AI, law, communication science, psychology, and science and technology studies) will in this project assess what the Dutch public thinks about AI-driven decision-making. This will be done via 1) discussion sessions of focus groups, to provide a deeper understanding about people’s knowledge and reasoning behind opinions about AI-driven decision-making than is possible with only quantitative methods. 2) a large-scale representative survey among a sample of the Dutch public. The applicants will assess the knowledge of and opinions about AI, among various social segments in the Netherlands. They also examine how specific aspects of AI-driven decision-making affect people’s opinions.