Needs and artifcial intelligence

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Ryan Watkins and Soheil Human just published their open access article “Needs and Artificial Intelligence” in the AI and Ethics Journal. Abstract Throughout our history, we, Homo sapiens, have used technologies to better satisfy our needs. The relation between needs … Continued

How Do We Measure Trust in Visual Data Communication?

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Trust is fundamental to effective visual data communication between the visualization designer and the reader. Although personal experience and preference influence readers’ trust in visualizations, visualization designers can leverage design techniques to create visualizations that evoke a “calibrated trust,” at … Continued

Learning When to Advise Human Decision Makers

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https://arxiv.org/abs/2209.13578 Artificial intelligence (AI) systems are increasingly used for providing advice to facilitate human decision making. While a large body of work has explored how AI systems can be optimized to produce accurate and fair advice and how algorithmic advice … Continued

Adverse effects of information personalization on human learning

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https://psyarxiv.com/yahvf/ Abstract Many online content providers use “personalization” algorithms to generate recommendations that are individually fine-tuned for users’ interests. However, these algorithms have also been criticized because tailoring content to specific users necessarily restricts the diversity of content, leading to … Continued

Calibrated Trust as a Result of Accurate Trustworthiness Assessment – Introducing the Trustworthiness Assessment Model

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https://psyarxiv.com/qhwvx/ Designing trustworthy algorithmic decision-making systems is a central goal in system design. Additionally, it is crucial that external parties can adequately assess the trustworthiness of systems. Ultimately, this should lead to calibrated trust: trustors adequately trust and distrust the … Continued

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