13 citations · 23 across the 4 of their papers we have counts for
5 papers
ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
Priyesh Vakharia, Abigail Kufeldt, Max Meyers +2
Neurosymbolic approaches can add robustness to opaque neural systems by incorporating explainable symbolic representations. However, previous approaches have not used formal logic…
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
Cosmin Badea, Leilani Gilpin
We propose an ontology of building decision-making systems, with the aim of establishing Meta-Decision-Making for Artificial Intelligence (AI), improving autonomy, and creating a f…
A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation
Jason R. Wilson, Leilani Gilpin, Irina Rabkina
There is a need for socially assistive robots (SARs) to provide transparency in their behavior by explaining their reasoning. Additionally, the reasoning and explanation should rep…
Explaining Explanations to Society
Leilani H. Gilpin, Cecilia Testart, Nathaniel Fruchter +1
There is a disconnect between explanatory artificial intelligence (XAI) methods and the types of explanations that are useful for and demanded by society (policy makers, government…
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin, David Bau, Ben Z. Yuan +3
There has recently been a surge of work in explanatory artificial intelligence (XAI). This research area tackles the important problem that complex machines and algorithms often ca…