New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs and Hallucinations for XAI, and Responsible AI Audits
- Upol Ehsan
- Elizabeth Watkins
- et al.
- 2025
- CHI 2025
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147 results for Explainable AI
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
- Shahaf Bassan
- Ron Eliav
- et al.
- 2025
- ICLR 2025
- Topic
User centered approach of applicability domain analysis for improving AI-assisted decision-making
- Siya Kunde
- Emilio Ashton Vital Brazil
- 2025
- ACS Spring 2025
Extracting Electrolyte Design from Interpretable Data-Driven Methods
- 2025
- ACS Spring 2025
Neural Reasoning Networks: Efficient interpretable neural networks with automatic textual explanations
- Steve Carrow
- Kyle Harper Erwin
- et al.
- 2025
- AAAI 2025
Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources
- Amadou Ba
- Pavithra Harsha
- et al.
- 2025
- AAAI 2025
Epistemic Bias as a Means for the Automated Detection of Injustices in Text
- Kenya Andrews
- Lamogha Chiazor
- 2025
- AAAI 2025
Bridging the Gap Between AI Planning and Reinforcement Learning
- Zlatan Ajanovi{\'c}
- Timo Gros
- et al.
- 2025
- AAAI 2025
How well can a large language model explain business processes as perceived by users?
- Dirk Fahland
- Fabiana Fournier
- et al.
- 2025
- DKE
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
- Abigail Langbridge
- Fearghal O'Donncha
- et al.
- 2024
- Big Data 2024