Venture Capitalist Vinod Khosla argues that artificial intelligence (AI) copyright laws should prioritize output results rather than how it’s trained.
“To best think about the copyright issues in AI training, we should focus on output similarity and not training methodology,” the report stated.
Khosla Urges Focus on AI Output, Not Training Methods
In a comprehensive report, Khosla explains that materials throughout history have often been derived from earlier works:
“All humans train on cumulative learning from many past works by other humans. AI may train on just a larger set of past works and be subject to similar rules and constraints but no more and no different.”
Khosla suggests a different approach to the ongoing debate about legal suits against AI. Instead of how it’s trained, the focus should be on what it creates, especially if it’s similar to previous work.
“The same instructions multiple times to AI may result in very different outputs which disproves the notion of “copying”.
Creative industry participants have recently initiated legal actions against AI companies, questioning the use of their clients’ works in the training data.
On October 20, BeInCrypto reported that Universal Music Group (UMG) along with other publishers had launched a lawsuit against Anthropic, an artificial intelligence (AI) firm.
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Author: Ciaran Lyons
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