Tessa Schwartz spoke to VentureBeat about how existing intellectual property and patent laws can address the unique challenges presented by artificial intelligence.
According to Tessa, there’s a tricky issue at the intersection of transparency and patent law due to the “tension between the desire to maintain confidentiality and ownership of data and algorithms and the necessity of making available data inputs and outputs and AI developments to third parties.”
“If not properly handled, access can result in a loss of trade secret protection and control over data and AI. That’s because a trade secret needs to be a secret, i.e., you have to use reasonable efforts to keep the information secret and not ‘readily ascertainable,’” Tessa said.
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