Accessing artificial intelligence for clinical decision-making
C Giordano, M Brennan, B Mohamed… - Frontiers in digital …, 2021 - frontiersin.org
Advancements in computing and data from the near universal acceptance and
implementation of electronic health records has been formative for the growth of …
implementation of electronic health records has been formative for the growth of …
A perspective on explanations of molecular prediction models
GP Wellawatte, HA Gandhi, A Seshadri… - Journal of Chemical …, 2023 - ACS Publications
Chemists can be skeptical in using deep learning (DL) in decision making, due to the lack of
interpretability in “black-box” models. Explainable artificial intelligence (XAI) is a branch of …
interpretability in “black-box” models. Explainable artificial intelligence (XAI) is a branch of …
The growing influence of industry in AI research
The growing influence of industry in AI research | Science news careers commentary
Journals Science Science brought to you byGoogle Indexer Log in science science …
Journals Science Science brought to you byGoogle Indexer Log in science science …
The third ai summer: Aaai robert s. engelmore memorial lecture
H Kautz - Ai magazine, 2022 - ojs.aaai.org
This article summarizes the author's Robert S. Englemore Memorial Lecture presented at the
Thirty-Fourth AAAI Conference on Artificial Intelligence on February 10, 2020. It explores …
Thirty-Fourth AAAI Conference on Artificial Intelligence on February 10, 2020. It explores …
Racial disparities in automated speech recognition
Automated speech recognition (ASR) systems, which use sophisticated machine-learning
algorithms to convert spoken language to text, have become increasingly widespread …
algorithms to convert spoken language to text, have become increasingly widespread …
Beyond surveillance: privacy, ethics, and regulations in face recognition technology
Facial recognition technology (FRT) has emerged as a powerful tool for public governance
and security, but its rapid adoption has also raised significant concerns about privacy, civil …
and security, but its rapid adoption has also raised significant concerns about privacy, civil …
Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training
In this paper, we introduce the Layer-Peeled Model, a nonconvex, yet analytically tractable,
optimization program, in a quest to better understand deep neural networks that are trained …
optimization program, in a quest to better understand deep neural networks that are trained …
Rethink reporting of evaluation results in AI
Artificial intelligence (AI) systems have begun to be deployed in high-stakes contexts,
including autonomous driving and medical diagnosis. In contexts such as these, the …
including autonomous driving and medical diagnosis. In contexts such as these, the …
AAPM task group report 273: recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Rapid advances in artificial intelligence (AI) and machine learning, and specifically in deep
learning (DL) techniques, have enabled broad application of these methods in health care …
learning (DL) techniques, have enabled broad application of these methods in health care …
Fooled twice: People cannot detect deepfakes but think they can
NC Köbis, B Doležalová, I Soraperra - Iscience, 2021 - cell.com
Hyper-realistic manipulations of audio-visual content, ie, deepfakes, present new challenges
for establishing the veracity of online content. Research on the human impact of deepfakes …
for establishing the veracity of online content. Research on the human impact of deepfakes …