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In the race to innovate, developers must consider how data use could impact ownership of their technology. Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI and machine learning models. Companies are well aware of privacy and regulatory restrictions on data use, but often do not consider the potential impact of data use restrictions on intellectual property ownership and use rights.
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Practice Makes Almost Perfect: Test Your Incident Response Plan With Simulated Cyber Tabletop Games
By Brandon Hollinder
more businesses are facing legal actions alleging improper preparation to avoid and/or respond to a breach event. Arguably one of the best tools to assist in preparing for and avoiding some of the negative consequences of a cyber event is a tabletop simulation exercise.
By Xuechen (Rebecca) Ding and Aseet Patel
Part One of a Two-Part Article
This two-part article sheds light on several important aspects of patents on AI technology. In Part One, we provide a general overview of the IBM v. Zillow lawsuit and discusses strategies to diversify patent portfolios to maximize protection on AI-related technology.
Law Firm Hybrid Work Policies Are Evolving — And Growing Teeth
By Anthony Davies
What seemed almost a near certainty a year ago — that law firms would fully and permanently embrace work-from-home — is experiencing a seeming reversal. While many firms have, in fact, embraced hybrid operations, the meaning of hybrid has evolved from “office optional,” to an average required 2 days a week, to now many firms coming out with four-day work week mandates — this time, with teeth.
The Rise of AI-Generated Voice Deepfakes
By Jeffrey N. Rosenthal
Several tech companies are making strides training speech recognition tools to mimic the speaker’s voice. And while this can improve user clarity and accessibility for those with physical limitations, there is another, more troubling trend: the prevalence of “voice deepfakes” — creating synthetic voices from unknowing (or unwilling) participants using generative artificial intelligence.
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