Leilani H. Gilpin

According to our database, Leilani H. Gilpin authored at least 28 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning.

Ryan Jenkins, Kristian J. Hammond, Sarah Spurlock, Leilani Gilpin

AI Soc., August, 2023

The anticipatory paradigm.

Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin

AI Mag., June, 2023

A novel post-hoc explanation comparison metric and applications.

Shreyan Mitra, Leilani Gilpin

CoRR, 2023

Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations.

Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin

CoRR, 2023

Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification.

Sharan Subramanian, Leilani H. Gilpin

CoRR, 2023

Anticipatory Thinking Challenges in Open Worlds: Risk Management.

Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin

CoRR, 2023

The XAISuite framework and the implications of explanatory system dissonance.

Shreyan Mitra, Leilani Gilpin

CoRR, 2023

Towards a fuller understanding of neurons with Clustered Compositional Explanations.

Biagio La Rosa, Leilani Gilpin, Roberto Capobianco

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accountability Layers: Explaining Complex System Failures by Parts.

Leilani H. Gilpin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Outracing champion Gran Turismo drivers with deep reinforcement learning.

Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano

Nat., 2022

Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning.

Cosmin Badea, Leilani Gilpin

CoRR, 2022

"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI.

Leilani H. Gilpin, Andrew R. Paley, Mohammed A. Alam, Sarah Spurlock, Kristian J. Hammond

CoRR, 2022

2021

Explaining Multimodal Errors in Autonomous Vehicles.

Leilani H. Gilpin, Vishnu Penubarthi, Lalana Kagal

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Anticipatory Thinking: A Testing and Representation Challenge for Self-Driving Cars.

Leilani H. Gilpin

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation.

Jason R. Wilson, Leilani Gilpin, Irina Rabkina

CoRR, 2020

ICAIL Doctoral Consortium, Montreal 2019.

Michal Araszkiewicz, Ilaria Angela Amantea, Saurabh Chakravarty, Robert van Doesburg, Maria Dymitruk, Marie Garin, Leilani Gilpin, Daphne Odekerken, Seyedeh Sajedeh Salehi

Artif. Intell. Law, 2020

2019

Explaining Explanations to Society.

Leilani H. Gilpin, Cecilia Testart, Nathaniel Fruchter, Julius Adebayo

CoRR, 2019

Reports of the AAAI 2019 Spring Symposium Series.

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

AI Mag., 2019

An Adaptable Self-Monitoring Framework for Opaque Machines.

Leilani H. Gilpin, Lalana Kagal

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Explaining Possible Futures for Robust Autonomous Decision-Making.

Leilani Gilpin

Proceedings of the Short Paper Proceedings of the Workshop on Cognitive Systems for Anticipatory Thinking (COGSAT 2019) co-located with the AAAI Fall Symposium 2019, 2019

2018

Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning.

Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal

CoRR, 2018

Reasonable Perception: Connecting Vision and Language Systems for Validating Scene Descriptions.

Leilani H. Gilpin, Cagri Zaman, Danielle Olson, Ben Z. Yuan

Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Explaining Explanations: An Overview of Interpretability of Machine Learning.

Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Perception of Speaker Personality Traits Using Speech Signals.

Leilani H. Gilpin, Danielle M. Olson, Tarfah Alrashed

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Reasonableness Monitors.

Leilani H. Gilpin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Getting Up to Speed on Vehicle Intelligence.

Leilani Hendrina Gilpin, Ben Ze Yuan

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data.

Juan Liu, Eric Bier, Aaron Wilson, John Alexis Guerra Gómez, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, Daniel Davies

AI Mag., 2016

2014

Co-simulation solutions using AA4MM-FMI applied to smart space heating models.

Leilani Gilpin, Laurent Ciarletta, Yannick Presse, Vincent Chevrier, Virginie Galtier

Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques, 2014