Explanation in Second Generation Expert Systems
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People often ignore AI recommendations because they do not trust them.
“research found that people often ignore recommendations because they do not trust them”
From Explainable AI is Dead, Long Live Explainable AI!: Hypothesis-driven Decision Support using Evaluative AI (2023) · cites this paper as [39]
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Explanation in artificial intelligence: Insights from the social sciences
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“Agents must explain the decisions they made during plan generation, stating considered alternatives, to report which actions they executed and why, explain how actual events diverged from the plan and how they adapted in response, and communicate decisions and reasons in a human-understandable way to gain the user’s t…”
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- Authors
- Swartout, W. R., & Moore, J. D.
- Affiliations
- University of Southern California (US)
- University of Pittsburgh (US)
- Venue
- Second Generation Expert Systems
- Publisher
- Springer Berlin Heidelberg
- Published
- 1993
- Pages
- 543-585
- OpenAlex
- W1884349939
- Cited by
- 160
- References
- 51
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 10 · 2023: 7 · 2022: 11 · 2021: 27 · 2020: 10 · 2019: 8 · 2018: 3 · 2017: 5 · 2016: 2 · 2014: 1 · 2013: 2 · 2012: 2
- FWCI
- 6.53
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- second generation expert systems, explanation generation
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