Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization-Reference-Cited by-同舟云学术

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Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization

Published:2024-04-23 Issue: Volume: Page:22-31
ISSN:
Container-title:2024 IEEE 17th Pacific Visualization Conference (PacificVis)
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Author:

Wall Emily¹,Matzen Laura²,El-Assady Mennatallah³,Masters Peta⁴,Hosseinpour Helia⁵,Endert Alex⁶,Borgo Rita⁴,Chau Polo⁶,Perer Adam⁷,Schupp Harald⁸,Strobelt Hendrik⁹,Padilla Lace¹⁰

Affiliation:

1. Emory University

2. Sandia National Laboratories

3. ETH Zürich

4. King’s College,London

5. University of California Merced

6. Georgia Tech

7. Carnegie Mellon University

8. University of Konstanz

9. IBM Research AI,Cambridge,Mass.

10. Northeastern University,Boston

Funder

Sandia National Laboratories

National Nuclear Security Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10541314/10541336/10541601.pdf?arnumber=10541601

Reference98 articles.

1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

2. To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

3. The role of domain expertise in trusting and following explainable AI decision support systems

4. The Role of Interactive Visualization in Fostering Trust in AI

5. Intelligibility and Accountability: Human Considerations in Context-Aware Systems

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