Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies
AI systems are adopted in numerous domains due to their increasingly strong predictive
performance. However, in high-stakes domains such as criminal justice and healthcare, full …
performance. However, in high-stakes domains such as criminal justice and healthcare, full …
When combinations of humans and AI are useful: A systematic review and meta-analysis
Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers
have studied human–AI systems involving different tasks, systems and populations. Despite …
have studied human–AI systems involving different tasks, systems and populations. Despite …
Explanations can reduce overreliance on ai systems during decision-making
Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …
AI decision-making teams: overreliance, when people agree with an AI, even when it is …
To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making
People supported by AI-powered decision support tools frequently overrely on the AI: they
accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the …
accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the …
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 …
Does the whole exceed its parts? the effect of ai explanations on complementary team performance
Many researchers motivate explainable AI with studies showing that human-AI team
performance on decision-making tasks improves when the AI explains its recommendations …
performance on decision-making tasks improves when the AI explains its recommendations …
Towards a science of human-ai decision making: a survey of empirical studies
As AI systems demonstrate increasingly strong predictive performance, their adoption has
grown in numerous domains. However, in high-stakes domains such as criminal justice and …
grown in numerous domains. However, in high-stakes domains such as criminal justice and …
Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making
This paper contributes to the growing literature in empirical evaluation of explainable AI
(XAI) methods by presenting a comparison on the effects of a set of established XAI methods …
(XAI) methods by presenting a comparison on the effects of a set of established XAI methods …
Will humans-in-the-loop become borgs? Merits and pitfalls of working with AI
We analyze how advice from an AI affects complementarities between humans and AI, in
particular what humans know that an AI does not know:“unique human knowledge.” In a …
particular what humans know that an AI does not know:“unique human knowledge.” In a …
Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …
AI and when to trust themselves. However, prior studies calibrated human trust only based …