2020-11-15
MIT Technology Review
Scientists criticize a lack of transparency in AI research, citing issues of replication in research and unequal access to code, proprietary data, and hardware
with dangerous consequences. Replication by different researchers would expose problems sooner, making AI stronger for everyone” #NLProc stop publishing what is not replicable https://www.technologyre...
2020-11-14
MIT Technology Review
Scientists criticize a lack of transparency in AI research, citing issues of replication in research and unequal access to code, proprietary data, and hardware
Tech giants dominate research but the line between real breakthrough and product showcase can be fuzzy. Some scientists have had enough. Tweets: @techreview , @techreview , @techreview , @techreview ...
2020-10-15
VentureBeat
3 related
Experts say the lack of detailed methods and source code in Google's AI research for predicting breast cancer “undermines scientific value”
Back in January, Google Health, the branch of Google focused on health-related research, clinical tools, and partnerships for health care services …
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