A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
Trustllm: Trustworthiness in large language models
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …
attention for their excellent natural language processing capabilities. Nonetheless, these …
[图书][B] Human-centered AI
B Shneiderman - 2022 - books.google.com
The remarkable progress in algorithms for machine and deep learning have opened the
doors to new opportunities, and some dark possibilities. However, a bright future awaits …
doors to new opportunities, and some dark possibilities. However, a bright future awaits …
Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems
B Shneiderman - ACM Transactions on Interactive Intelligent Systems …, 2020 - dl.acm.org
This article attempts to bridge the gap between widely discussed ethical principles of Human-
centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are …
centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are …
The disagreement problem in explainable machine learning: A practitioner's perspective
As various post hoc explanation methods are increasingly being leveraged to explain
complex models in high-stakes settings, it becomes critical to develop a deeper …
complex models in high-stakes settings, it becomes critical to develop a deeper …
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 …
[PDF][PDF] Ai transparency in the age of llms: A human-centered research roadmap
QV Liao, JW Vaughan - arXiv preprint arXiv:2306.01941, 2023 - assets.pubpub.org
The rise of powerful large language models (LLMs) brings about tremendous opportunities
for innovation but also looming risks for individuals and society at large. We have reached a …
for innovation but also looming risks for individuals and society at large. We have reached a …
[HTML][HTML] Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns
regarding explainability. Recent studies have discussed the emerging demand for …
regarding explainability. Recent studies have discussed the emerging demand for …
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 …