Leilani H. Gilpin

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Risk Management

Machine Learning

Personality Traits

Top Venues

Publications

Leilani H. Gilpin
Accountability Layers: Explaining Complex System Failures by Parts. AAAI (2023)
Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin
The anticipatory paradigm. AI Mag. 44 (2) (2023)
Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations. CoRR (2023)
Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
Towards a fuller understanding of neurons with Clustered Compositional Explanations. CoRR (2023)
Sharan Subramanian, Leilani H. Gilpin
Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification. CoRR (2023)
Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin
Anticipatory Thinking Challenges in Open Worlds: Risk Management. CoRR (2023)
Leilani H. Gilpin, Andrew R. Paley, Mohammed A. Alam, Sarah Spurlock, Kristian J. Hammond
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI. CoRR (2022)
Leilani H. Gilpin
Anticipatory Thinking: A Testing and Representation Challenge for Self-Driving Cars. CISS (2021)
Leilani H. Gilpin, Vishnu Penubarthi, Lalana Kagal
Explaining Multimodal Errors in Autonomous Vehicles. DSAA (2021)
Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson
Reports of the AAAI 2019 Spring Symposium Series. AI Mag. 40 (3) (2019)
Leilani H. Gilpin, Lalana Kagal
An Adaptable Self-Monitoring Framework for Opaque Machines. AAMAS (2019)
Leilani H. Gilpin, Cecilia Testart, Nathaniel Fruchter, Julius Adebayo
Explaining Explanations to Society. CoRR (2019)
Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal
Explaining Explanations: An Overview of Interpretability of Machine Learning. DSAA (2018)
Leilani H. Gilpin, Danielle M. Olson, Tarfah Alrashed
Perception of Speaker Personality Traits Using Speech Signals. CHI Extended Abstracts (2018)
Leilani H. Gilpin
Reasonableness Monitors. AAAI (2018)
Leilani H. Gilpin, Cagri Zaman, Danielle Olson, Ben Z. Yuan
Reasonable Perception: Connecting Vision and Language Systems for Validating Scene Descriptions. HRI (Companion) (2018)
Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning. CoRR (2018)