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With a greater number of older attorneys expected to age out of the profession and succession planning earning an increased focus in the legal world, law firms will need to ramp up talent recruitment and retention, and observers envision Gen Z attorneys, with their heightened familiarity with technology, as a particularly critical asset.

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Contract workers who say they suffered severe psychological harm by being exposed to “deeply unsettling” and traumatic scenarios used to train generative artificial intelligence models filed a class action complaint on January 17 against three Bay Area firms for alleged negligence and unsafe working conditions.

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The most forward-thinking companies embrace AI with complete confidence because they have created governance programs that serve as guardrails for this incredible new technology. Effective governance ensures AI consistently aligns with an organization’s best interests, safeguarding against potential risks while unlocking its full potential.

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AI’s rapid market proliferation and regulatory expansion mirrors privacy’s, and businesses should model their contractual AI compliance on the successes of privacy law’s DPA and BAA.

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Traditional keyword strategies and ranking tactics are losing ground to a more dynamic approach in which optimizing for search now means optimizing for every platform and user interaction. This evolution is appropriately being called “Search Everywhere Optimization.” The redefined SEO reflects how AI is not just changing how people find information but also how businesses need to think about visibility in an increasingly connected digital ecosystem.

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For some, GenAI is the latest and greatest innovation, while for others, it is an existential threat. In this emerging technological landscape, there are many implications and unanswered questions regarding the protection of intellectual property rights. This article highlights some of the challenges GenAI presents, and recent developments in copyright law and trademark law in this quickly evolving space.

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A novel legal self-help technique to secure artificial intelligence data and programs is known as Poisoning AI. This technique involves modifying the AI algorithm to intentionally produce specific erroneous results.

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Copyright law has long struggled to keep pace with advances in technology, and the debate around the copyrightability of AI-assisted works is no exception. At issue is the human authorship requirement: the principle that a work must have a human author to be eligible for copyright protection. While the Copyright Office has previously cited this "bedrock requirement of copyright" to reject registrations, recent decisions have focused on the role of human authorship in the context of AI.