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While some jurisdictions are enacting or proposing AI-specific regulation, many existing regulatory frameworks apply to new technologies, including antitrust. Companies may experience different potential antitrust risks depending on the type of AI technology and their use of that technology.
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The conference's panels and keynotes looked to connect the dots between the tools governments and individuals have in the age of AI to protect themselves — and the tools they will need to develop.
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While some jurisdictions are enacting or proposing AI-specific regulation, many existing regulatory frameworks apply to new technologies, including antitrust. Companies may experience different potential antitrust risks depending on the type of AI technology and their use of that technology.
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The gaming and wagering sector has begun to cross paths with artificial intelligence technology in ways both predictable and unforeseen. As with other industries, AI technology inevitably has found its way into various components of the gaming experience. What is striking, however, is how AI is revolutionizing gaming for operators, regulators, suppliers and patrons alike.
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Packing more tricks and treats than a suburban soccer mom, this sweeping order was ambitious, to say the least, artfully seeking to thread the needle and balance fear and desire when it comes to the AI renaissance sweeping the globe. And yet, hidden within the body of the order lay something that might make this sweeping and ambitious order flop.
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While the societal impact of technology is not a new concept, GenAI stands out due to its accessibility to the public and its profound influence on knowledge-based industries like law. In addition to boosting efficiency and productivity, GenAI's new technological capabilities hold the promise of empowering lawyers to offer more precise and insightful guidance to their clients.
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Part Two of a Two-Part Article A report on the September panel discussion sponsored by the Miami Dade Bar Association Law and Technology Committee, on AI and how to effectively use it in law firms.
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Part Two of a Two-Part Article In Part One, we discussed the IBM v. Zillow case, where IBM sued Zillow for infringing on seven IBM's patents directed to artificial intelligence (AI) algorithms for estimating property value. The focus was on the difficulties in establishing patent infringement on specific AI algorithms, as well as the strategic advantages of including additional patent claims that target ancillary features of an AI system. In this segment, we will analyze the claims made in the IBM v. Zillow case and present some tips for drafting AI-related claims from the perspective of patent infringement.
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Along with offering key impressions of leading providers in the sector, the "9th annual E-Discovery Unfiltered: A Survey of Current Trends and Candid Perspectives" report identifies the market shifts, pricing patterns, artificial intelligence developments, and data management practices that are driving the transformation of e-discovery.
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Owners of intellectual property should be aware of how their works are used by generative AI models and the users of these tools, and timely action should be taken to defend intellectual property against infringement. Join LJN for a free webinar on Nov. 9.