Georgia Institute of Technology

Emerging challenges in AI and the need for AI ethics education

Jason Borenstein, Ayanna Howard

2020 · 510 Zit.

AI recognition of patient race in medical imaging: a modelling study

Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al.

2022 · 470 Zit.

Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom

Ellen Lee, John Torous, Munmun De Choudhury et al.

2021 · 386 Zit.

Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies

Daniel Schiff

2021 · 339 Zit.

How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bard

Amir Ali Rahsepar, Neda Tavakoli, Grace Hyun J. Kim et al.

2023 · 269 Zit.

Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions

Jiawei Zhou, Yixuan Zhang, Qianni Luo et al.

2023 · 237 Zit.

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

Sirvan Khalighi, Kartik Reddy, Abhishek Midya et al.

2024 · 214 Zit.

From promise to practice: towards the realisation of AI-informed mental health care

Nikolaos Koutsouleris, Tobias U. Hauser, Vasilisa Skvortsova et al.

2022 · 214 Zit.

FOSTERING INTEGRITY IN RESEARCH

Thomas Arrison, Robert M. Nerem

2017 · 138 Zit.

Toxicity in chatgpt: Analyzing persona-assigned language models

Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit et al.

2023 · 126 Zit.

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Felipe Giuste, Wenqi Shi, Yuanda Zhu et al.

2022 · 122 Zit.

Academic misconduct, misrepresentation and gaming: A reassessment

Mario Biagioli, Martín Kenney, Ben R. Martin et al.

2018 · 113 Zit.

Myths, mis- and preconceptions of artificial intelligence: A review of the literature

Arne Bewersdorff, Xiaoming Zhaı, Jessica Roberts et al.

2023 · 103 Zit.

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

Upol Ehsan, Philipp Wintersberger, Q. Vera Liao et al.

2022 · 90 Zit.

Few-shot learning for medical text: A review of advances, trends, and opportunities

Yao Ge, Yuting Guo, Sudeshna Das et al.

2023 · 90 Zit.