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What does the public think about Artificial Intelligence? — A Criticality Map to Understand bias in the public perception of AI
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Description: Published paper here: https://www.frontiersin.org/articles/10.3389/fcomp.2023.1113903/full Much research has been done on the development of improved algorithms, data generation, labeling for supervised learning, and studying the economic impact of Artificial Intelligence (AI) on organizations and society. Yet there is a lack of research on how individuals perceive the potential impact of AI on their lives, the economy, or the society. However, understanding this individual perspective is crucial, as the adoption and diffusion of new technologies, such as AI and Machine Learning, can be propelled by higher acceptance or significantly delayed by perceived barriers from involved stakeholders. In this article, we present a study in which we captured novice's expectations towards AI. For a variety of different statements on the impact of AI, we asked participants to rate how likely they considered a development to be and if they felt positive or negative about that development. A result of this study is a criticality matrix that 1) can guide developers and implementation managers of AI technology regarding socially critical aspects, 2) may guide policy making regarding specific areas in need of regulations, 3) inform researchers which areas could be addressed to increase social acceptance, and 4) help to identify relevant points for school and university curricula to inform future generations on AI.
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