University of Southampton

Bias in data‐driven artificial intelligence systems—An introductory survey

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju et al.

2020 · 944 Zit.

Putting AI ethics to work: are the tools fit for purpose?

Jacqui Ayling, Adriane Chapman

2021 · 217 Zit.

Twenty-Eighth AAAI Conference on Artificial Intelligence

Nicola Gatti, Marco Rocco, Sofia Ceppi et al.

2014 · 184 Zit.

Accelerating AI Adoption with Responsible AI Signals and Employee Engagement Mechanisms in Health Care

Weisha Wang, Long Chen, Mengran Xiong et al.

2021 · 127 Zit.

How the different explanation classes impact trust calibration: The case of clinical decision support systems

Mohammad Naiseh, Dena Al‐Thani, Nan Jiang et al.

2022 · 111 Zit.

Artificial intelligence and clinical decision support: clinicians’ perspectives on trust, trustworthiness, and liability

Caroline Jones, James Thornton, Jeremy C Wyatt

2023 · 79 Zit.

Strategies designed to help healthcare professionals to recruit participants to research studies

Nancy Preston, Morag Farquhar, Catherine Walshe et al.

2016 · 76 Zit.

Could artificial intelligence write mental health nursing care plans?

Samuel Woodnutt, Chris Allen, Jasmine Snowden et al.

2023 · 74 Zit.

Trustworthy human-AI partnerships

Sarvapali D. Ramchurn, Sebastian Stein, Nicholas R. Jennings

2021 · 62 Zit.

The future of bone regeneration: integrating AI into tissue engineering

Benita MacKay, Karen M. Marshall, James A. Grant‐Jacob et al.

2021 · 59 Zit.

Explainable AI and the philosophy and practice of explanation

Kieron O’Hara

2020 · 54 Zit.

Trust, but Verify: Informed Consent, AI Technologies, and Public Health Emergencies

Brian Pickering

2021 · 51 Zit.

What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies

Haroldas Petkus, Jan Hoogewerf, Jeremy C Wyatt

2020 · 47 Zit.

A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation

Imogen S. Stafford, Mark Gosink, Enrico Mossotto et al.

2022 · 47 Zit.

Inconsistent and incomplete retraction of published research: A cross-sectional study on Covid-19 retractions and recommendations to mitigate risks for research, policy and practice

Geoff K Frampton, Lois Woods, David A. Scott

2021 · 46 Zit.