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Building an Ethical and Trustworthy Biomedical AI Ecosystem for the
  Translational and Clinical Integration of Foundational Models

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models

18 July 2024
Simha Sankar Baradwaj
Destiny Gilliland
Jack Rincon
Henning Hermjakob
Yu Yan
Irsyad Adam
Gwyneth Lemaster
Dean Wang
Karol Watson
Alex Bui
Wei Wang
Peipei Ping
ArXivPDFHTML

Papers citing "Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models"

6 / 6 papers shown
Title
Interpretable Preferences via Multi-Objective Reward Modeling and
  Mixture-of-Experts
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
Haoxiang Wang
Wei Xiong
Tengyang Xie
Han Zhao
Tong Zhang
44
13
0
18 Jun 2024
Supervised Fine-Tuning as Inverse Reinforcement Learning
Supervised Fine-Tuning as Inverse Reinforcement Learning
Hao Sun
16
4
0
18 Mar 2024
On the Impossible Safety of Large AI Models
On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
Sébastien Rouault
John Stephan
26
31
0
30 Sep 2022
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
234
447
0
14 Jul 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
168
283
0
24 Mar 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,079
0
24 Oct 2016
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