In AI we trust? Perceptions about automated decision-making by artificial intelligence

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

RETRACTED ARTICLE: Impact of artificial intelligence on human loss in decision making, laziness and safety in education (2023, neutral): “AI is based on algorithms and uses large data sets to automate instruction (Araujo et al., 2020).”
Six Human-Centered Artificial Intelligence Grand Challenges (2023, neutral): “AI may influence what people believe to be true or important in a decision making task, but do so spuriously with potential negative consequences (Araujo et al., 2020).”
Trust in AI: progress, challenges, and future directions (2024, neutral): “In addition to privacy concerns, people ’ s assumptions about their self-ef ﬁ cacy in protecting their data play a role in their trust in AI (Araujo et al., 2020b).”
User Perceptions and Trust of Explainable Machine Learning Fake News Detectors (2022, background): “Also, users with more knowledge of AI often have more positive attitudes toward AI (Araujo, Helberger, Kruikemeier, & de Vreese, 2020).”
The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022, background): “Artificial Intelligence raises issues of trust, and this is a much-researched aspect of AI (see e.g., Araujo et al., 2020; Rheu et al., 2021; Siau & Wang, 2018, for recent examples).”