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 …
Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction
Recent work has proposed artificial intelligence (AI) models that can learn to decide whether
to make a prediction for an instance of a task or to delegate it to a human by considering …
to make a prediction for an instance of a task or to delegate it to a human by considering …
Human uncertainty in concept-based ai systems
Placing a human in the loop may help abate the risks of deploying AI systems in safety-
critical settings (eg, a clinician working with a medical AI system). However, mitigating risks …
critical settings (eg, a clinician working with a medical AI system). However, mitigating risks …
Regulating government AI and the challenge of sociotechnical design
DF Engstrom, A Haim - Annual Review of Law and Social …, 2023 - annualreviews.org
Artificial intelligence (AI) is transforming how governments work, from distribution of public
benefits, to identifying enforcement targets, to meting out sanctions. But given AI's twin …
benefits, to identifying enforcement targets, to meting out sanctions. But given AI's twin …
On the utility of prediction sets in human-ai teams
Research on human-AI teams usually provides experts with a single label, which ignores the
uncertainty in a model's recommendation. Conformal prediction (CP) is a well established …
uncertainty in a model's recommendation. Conformal prediction (CP) is a well established …
人智交互体验研究: 为人本人工智能发展注入新动力
姜婷婷， 许艳闰， 傅诗婷， 陆伟 - 图书情报知识, 2022 - dik.whu.edu.cn
[目的/意义]“人智交互” 和“人本人工智能” 分别是人机交互和人工智能领域的前沿课题,
组成了一枚硬币的两面. 本研究旨在以人智交互体验研究为切入口, 帮助“以用户为中心” …
组成了一枚硬币的两面. 本研究旨在以人智交互体验研究为切入口, 帮助“以用户为中心” …
Learning personalized decision support policies
Individual human decision-makers may benefit from different forms of support to improve
decision outcomes. However, a key question is which form of support will lead to accurate …
decision outcomes. However, a key question is which form of support will lead to accurate …
Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations
R Koonchanok, ME Papka… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
People commonly utilize visualizations not only to examine a given dataset, but also to draw
generalizable conclusions about the underlying models or phenomena. Prior research has …
generalizable conclusions about the underlying models or phenomena. Prior research has …
Deep neural network benchmarks for selective classification
With the increasing deployment of machine learning models in many socially-sensitive
tasks, there is a growing demand for reliable and trustworthy predictions. One way to …
tasks, there is a growing demand for reliable and trustworthy predictions. One way to …
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
In this white paper, we synthesize key points made during presentations and discussions
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …