Highly Automated and Master of the Situation?! Approach for a Human-Centered Evaluation of AI Systems for More Sociodigital Sovereignty

Schmuntzsch, Ulrike; Hartmann, Ernst

doi:10.1007/978-3-031-35989-7_63

Communications in Computer and Information Science

2023

DOI: 10.1007/978-3-031-35989-7_63

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Highly Automated and Master of the Situation?! Approach for a Human-Centered Evaluation of AI Systems for More Sociodigital Sovereignty

Ulrike Schmuntzsch

Ernst Hartmann

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2024

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Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper

Ridley

2024

Asso for Info Science & Tech

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Explainability is central to trust and accountability in artificial intelligence (AI) applications. The field of human‐centered explainable AI (HCXAI) arose as a response to mainstream explainable AI (XAI) which was focused on algorithmic perspectives and technical challenges, and less on the needs and contexts of the non‐expert, lay user. HCXAI is characterized by putting humans at the center of AI explainability. Taking a sociotechnical perspective, HCXAI prioritizes user and situational contexts, preferences reflection over acquiescence, and promotes the actionability of explanations. This review identifies the foundational ideas of HCXAI, how those concepts are operationalized in system design, how legislation and regulations might normalize its objectives, and the challenges that HCXAI must address as it matures as a field.

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Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper

Ridley

2024

Asso for Info Science & Tech

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Highly Automated and Master of the Situation?! Approach for a Human-Centered Evaluation of AI Systems for More Sociodigital Sovereignty

Cited by 1 publication

References 8 publications

Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper

Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper

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