How cognitive biases affect XAI-assisted decision-making: A systematic review
The field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to complex AI
systems. Although it is usually considered an essentially technical field, effort has been …
systems. Although it is usually considered an essentially technical field, effort has been …
Towards human-centered explainable ai: A survey of user studies for model explanations
Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A
better understanding of the needs of XAI users, as well as human-centered evaluations of …
better understanding of the needs of XAI users, as well as human-centered evaluations of …
Working with AI to persuade: Examining a large language model's ability to generate pro-vaccination messages
Artificial Intelligence (AI) is a transformative force in communication and messaging strategy,
with potential to disrupt traditional approaches. Large language models (LLMs), a form of AI …
with potential to disrupt traditional approaches. Large language models (LLMs), a form of AI …
Improving human-AI partnerships in child welfare: understanding worker practices, challenges, and desires for algorithmic decision support
AI-based decision support tools (ADS) are increasingly used to augment human decision-
making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is …
making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is …
Understanding the role of human intuition on reliance in human-AI decision-making with explanations
AI explanations are often mentioned as a way to improve human-AI decision-making, but
empirical studies have not found consistent evidence of explanations' effectiveness and, on …
empirical studies have not found consistent evidence of explanations' effectiveness and, on …
Measuring progress on scalable oversight for large language models
Designing for responsible trust in AI systems: A communication perspective
Current literature and public discourse on “trust in AI” are often focused on the principles
underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given …
underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given …
Appropriate reliance on AI advice: Conceptualization and the effect of explanations
AI advice is becoming increasingly popular, eg, in investment and medical treatment
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
You complete me: Human-ai teams and complementary expertise
People consider recommendations from AI systems in diverse domains ranging from
recognizing tumors in medical images to deciding which shoes look cute with an outfit …
recognizing tumors in medical images to deciding which shoes look cute with an outfit …
Three challenges for AI-assisted decision-making
Artificial intelligence (AI) has the potential to improve human decision-making by providing
decision recommendations and problem-relevant information to assist human decision …
decision recommendations and problem-relevant information to assist human decision …