Scientists criticize a lack of transparency in AI research, citing issues of replication in research and unequal access to code, proprietary data, and hardware (Will Douglas Heaven/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.
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Scientists criticize a lack of transparency in AI research, citing issues of replication in research and unequal access to code, proprietary data, and hardware (Will Douglas Heaven/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 (Will Douglas Heaven/MIT Technology Review)]()
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November 13, 2020
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