Metrics for explainable AI: Challenges and prospects
The question addressed in this paper is: If we present to a user an AI system that explains
how it works, how do we know whether the explanation works and the user has achieved a …
how it works, how do we know whether the explanation works and the user has achieved a …
[HTML][HTML] Explanation in artificial intelligence: Insights from the social sciences
T Miller - Artificial intelligence, 2019 - Elsevier
There has been a recent resurgence in the area of explainable artificial intelligence as
researchers and practitioners seek to provide more transparency to their algorithms. Much of …
researchers and practitioners seek to provide more transparency to their algorithms. Much of …
Expanding explainability: Towards social transparency in ai systems
As AI-powered systems increasingly mediate consequential decision-making, their
explainability is critical for end-users to take informed and accountable actions. Explanations …
explainability is critical for end-users to take informed and accountable actions. Explanations …
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …
intelligent systems. Research indicates that there is a tradeoff between their model …
Explaining explanations in AI
Recent work on interpretability in machine learning and AI has focused on the building of
simplified models that approximate the true criteria used to make decisions. These models …
simplified models that approximate the true criteria used to make decisions. These models …
Explainable AI: Beware of inmates running the asylum or: How I learnt to stop worrying and love the social and behavioural sciences
In his seminal bookThe Inmates are Running the Asylum: Why High-Tech Products Drive Us
Crazy And How To Restore The Sanity'[2004, Sams Indianapolis, IN, USA], Alan Cooper …
Crazy And How To Restore The Sanity'[2004, Sams Indianapolis, IN, USA], Alan Cooper …
Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance
If a user is presented an AI system that portends to explain how it works, how do we know
whether the explanation works and the user has achieved a pragmatic understanding of the …
whether the explanation works and the user has achieved a pragmatic understanding of the …
Levels of explainable artificial intelligence for human-aligned conversational explanations
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
The structure and function of explanations
T Lombrozo - Trends in cognitive sciences, 2006 - cell.com
Generating and evaluating explanations is spontaneous, ubiquitous and fundamental to our
sense of understanding. Recent evidence suggests that in the course of an individual's …
sense of understanding. Recent evidence suggests that in the course of an individual's …
Explanation and abductive inference
T Lombrozo - Oxford handbook of thinking and reasoning, 2012 - books.google.com
Everyday cognition reveals a sophisticated capacity to seek, generate, and evaluate
explanations for the social and physical worlds around us. Why are we so driven to explain …
explanations for the social and physical worlds around us. Why are we so driven to explain …