University of Strathclyde

Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes et al.

2023 · 3.310 Zit.

Slave to the Algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for

Lilian Edwards, Michael Veale

2017 · 508 Zit.

How the EU Can Achieve Legally Trustworthy AI: A Response to the European Commission’s Proposal for an Artificial Intelligence Act

Nathalie A. Smuha, Emma Ahmed-Rengers, Adam Harkens et al.

2021 · 146 Zit.

AI in medical diagnosis: AI prediction & human judgment

Dóra Göndöcs, Viktor Dörfler

2024 · 74 Zit.

Best practices for authors of healthcare-related artificial intelligence manuscripts

Sujay Kakarmath, Andre Esteva, Rima Arnaout et al.

2020 · 47 Zit.

To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry

Elena Osadchaya, Ben Marder, Jennifer A. Yule et al.

2024 · 40 Zit.

Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine

Shammi Ramlakhan, Reza Saatchi, L. Sabir et al.

2022 · 33 Zit.

AI-generated recommendations: Roles of language style, perceived AI human-likeness, and recommendation agent

Tae Hyun Baek, Hyoje Jay Kim, Jungkeun Kim

2025 · 28 Zit.

Building artificial intelligence and machine learning models : a primer for emergency physicians

Shammi Ramlakhan, Reza Saatchi, L. Sabir et al.

2022 · 16 Zit.

Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery

Linda Lapp, Matt-Mouley Bouamrane, Kimberley Kavanagh et al.

2019 · 15 Zit.

Dissecting liabilities in adversarial surgical robot failures: A national (Danish) and EU law perspective

Kaspar Rosager Ludvigsen, Shishir Nagaraja

2022 · 15 Zit.

Systematic Literature Review

Thomas Connolly, Mario Soflano, Petros Papadopoulos

2022 · 11 Zit.

Artificial Intelligence and Health in Nepal

Alexander van Teijlingen, Tell Tuttle, Hamid Bouchachia et al.

2020 · 8 Zit.

Sample Selection Bias in Machine Learning for Healthcare

Vinod Kumar Chauhan, Lei Clifton, Achille Salaün et al.

2025 · 5 Zit.

Using machine learning for predicting severe postoperative complications after cardiac surgery

Linda Lapp, David Young, Kimberley Kavanagh et al.

2018 · 4 Zit.