Blog Intellectual Property Machine learning 
The North Carolina Journey of Law and Technology
FEBRUARY 2, 2023
Essentially, these programs utilize machine-learning algorithms that learn to complete tasks based on the training data they are provided. generators like the ones employed by Stability AI, DevianArt, and Midjourney are “computer programs that create images based on their algorithms.”
Legal Tech Blog
SEPTEMBER 14, 2023
The group includes lawyers in nine offices and is co-led by partners Dino Barajas (Project Finance, San Francisco); Rich Harper (Litigation, New York); Maggie Welsh (Intellectual Property, New York); and Travis Wofford (Corporate, Houston).
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Debevoise Data Blog
SEPTEMBER 26, 2024
This Debevoise Data Blog post surveys key challenges associated with AI vendor risk management and provides tips for designing an effective AI vendor risk management program. Will the program apply only to circumstances involving generative AI, or will it cover a broader range of machine-learning technologies?
Colin S. Levy
APRIL 30, 2024
The platform itself was a marvel, a testament to the incredible power of artificial intelligence and machine learning to transform the way we approach the law.
The North Carolina Journey of Law and Technology
FEBRUARY 13, 2024
Generative AI certainly challenges our traditional notions of intellectual property rights, especially within copyright law. Novel AI tools such as Midjourney and Chat GPT raise new questions about whether works created with artificially intelligent machines can be copyrighted. While the U.S.
Debevoise Data Blog
OCTOBER 20, 2024
In doing so, as the NYDFS notes in the Guidance, it is important to remember that there are many other risks associated with AI adoption, such as loss of intellectual property, privacy, bias, transparency, explainability, quality control, loss of skills, conflicts, antitrust, and overselling.
3 Geeks and a Law Blog
FEBRUARY 22, 2023
For more insights from Jan Scholtes, visit his blog, Legal Tech Bridge. And let alone that there’s a lot of risk in this these datasets, others HR risks, there’s intellectual property risks. So you’re probably familiar with that yourself when you’re using this machine learning.
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