Boosting human competences with interpretable and explainable artificial intelligence.

SM Herzog, M Franklin - Decision, 2024 - psycnet.apa.org
Artificial intelligence (AI) is becoming integral to many areas of life, yet many—if not most—
AI systems are opaque black boxes. This lack of transparency is a major source of concern …

Cycles of Thought: Measuring LLM Confidence through Stable Explanations

E Becker, S Soatto - arXiv preprint arXiv:2406.03441, 2024 - arxiv.org
In many high-risk machine learning applications it is essential for a model to indicate when it
is uncertain about a prediction. While large language models (LLMs) can reach and even …

[HTML][HTML] How do you know that you don't know?

QF Gronau, M Steyvers, SD Brown - Cognitive Systems Research, 2024 - Elsevier
Whenever someone in a team tries to help others, it is crucial that they have some
understanding of other team members' goals. In modern teams, this applies equally to …

Human Mental Models of Self, Others, and AI Agents

A Kumar - 2024 - escholarship.org
Collaboration with other agents requires people to reflect on several aspects of their
collaborator's capabilities: How good are they at a task? Do they have access to the same …

Towards the Use of Language Models in Interventions of Vaccine Concerns

R Stureborg - 2024 - search.proquest.com
Increased vaccination rates over the past 50 years have saved hundreds of millions of lives
worldwide. Many of the lives saved have been those of children in developing countries …