What is human-centered about human-centered AI? A map of the research landscape
T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
Public health calls for/with ai: An ethnographic perspective
Artificial Intelligence (AI) based technologies are increasingly being integrated into public
sector programs to help with decision-support and effective distribution of constrained …
sector programs to help with decision-support and effective distribution of constrained …
Everybody's got ML, tell me what else you have: Practitioners' perception of ML-based security tools and explanations
Significant efforts have been investigated to develop machine learning (ML) based tools to
support security operations. However, they still face key challenges in practice. A generally …
support security operations. However, they still face key challenges in practice. A generally …
Troi: Towards understanding users perspectives to mobile automatic emotion recognition system in their natural setting
Emotional Self-Awareness (ESA) plays a vital role in physical and mental well-being. Recent
advancements in artificial intelligence technologies have shown promising emotion …
advancements in artificial intelligence technologies have shown promising emotion …
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs
Handling failures in computer vision systems that rely on deep learning models remains a
challenge. While an increasing number of methods for bug identification and correction are …
challenge. While an increasing number of methods for bug identification and correction are …
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
As Large Language Models (LLMs) are nondeterministic, the same input can generate
different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may …
different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may …
VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making
Ensuring that Machine Learning (ML) models make correct and meaningful inferences is
necessary for the broader adoption of such models into high-stakes decision-making …
necessary for the broader adoption of such models into high-stakes decision-making …
Is the Same Performance Really the Same?: Understanding How Listeners Perceive ASR Results Differently According to the Speaker's Accent
Research suggests that automatic speech recognition (ASR) systems, which automatically
convert speech to text, show different performances according to various input classes (eg …
convert speech to text, show different performances according to various input classes (eg …
The Trust Recovery Journey. The Effect of Timing of Errors on the Willingness to Follow AI Advice.
Complementing human decision-making with AI advice offers substantial advantages.
However, humans do not always trust AI advice appropriately and are overly sensitive to …
However, humans do not always trust AI advice appropriately and are overly sensitive to …
[PDF][PDF] How Do We Assess the Trustworthiness of AI? Introducing the Trustworthiness Assessment Model (TrAM)
Designing trustworthy systems and enabling external parties to accurately assess the
trustworthiness of these systems are crucial objectives. Only if trustors assess system …
trustworthiness of these systems are crucial objectives. Only if trustors assess system …