A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques

M Nazar, MM Alam, E Yafi, MM Su'ud - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects

G Obaido, ID Mienye, OF Egbelowo… - Machine Learning with …, 2024 - Elsevier
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …

Trustllm: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu… - International …, 2024 - proceedings.mlr.press
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

[KİTAP][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 …

The disagreement problem in explainable machine learning: A practitioner's perspective

S Krishna, T Han, A Gu, S Wu, S Jabbari… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

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 …

[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 …

Expanding explainability: Towards social transparency in ai systems

U Ehsan, QV Liao, M Muller, MO Riedl… - Proceedings of the 2021 …, 2021 - dl.acm.org
As AI-powered systems increasingly mediate consequential decision-making, their
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

G Bansal, T Wu, J Zhou, R Fok, B Nushi… - Proceedings of the …, 2021 - dl.acm.org
Many researchers motivate explainable AI with studies showing that human-AI team
performance on decision-making tasks improves when the AI explains its recommendations …