Leilani H. Gilpin

  • University of California Santa Cruz, CA, USA
  • MIT, CSAIL, USA (former)

According to our database1, Leilani H. Gilpin authored at least 24 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning.
AI Soc., August, 2023

The anticipatory paradigm.
AI Mag., June, 2023

Anticipatory Thinking Challenges in Open Worlds: Risk Management.
CoRR, 2023

The XAISuite framework and the implications of explanatory system dissonance.
CoRR, 2023

Accountability Layers: Explaining Complex System Failures by Parts.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Outracing champion Gran Turismo drivers with deep reinforcement learning.
Nat., 2022

Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning.
CoRR, 2022

"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI.
CoRR, 2022

Explaining Multimodal Errors in Autonomous Vehicles.
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.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation.
CoRR, 2020

ICAIL Doctoral Consortium, Montreal 2019.
Artif. Intell. Law, 2020

Explaining Explanations to Society.
CoRR, 2019

Reports of the AAAI 2019 Spring Symposium Series.
AI Mag., 2019

An Adaptable Self-Monitoring Framework for Opaque Machines.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Explaining Possible Futures for Robust Autonomous Decision-Making.
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

Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning.
CoRR, 2018

Reasonable Perception: Connecting Vision and Language Systems for Validating Scene Descriptions.
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.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Perception of Speaker Personality Traits Using Speech Signals.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

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

Getting Up to Speed on Vehicle Intelligence.
Proceedings of the 2017 AAAI Spring Symposia, 2017

Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data.
AI Mag., 2016

Co-simulation solutions using AA4MM-FMI applied to smart space heating models.
Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques, 2014