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Please enjoy this blog post authored by Dr. Megan Ma, Research Fellow and the Associate Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX), Stanford Law School. At the face of new technologies, the question of liability frequently surfaces as the technology moves beyond an initial state of fascination. We have seen this historically, and most recently, with self-driving and/or autonomous vehicles. Yet, what often underpins the question of liability is the notion of agency, and importantly, how human intervention (i.e., human-in-the-loop) can and should change. Put differently, when humans ...
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Please enjoy this ILTA Just-In-Time blog post by Iman Badri, Data Scientist, Munger, Tolles & Olson LLP. Understanding Prompt Engineering Prompt engineering can be described as the process of designing and fine-tuning input prompts to maximize the efficiency and accuracy of interactive AI systems responses. It involves crafting specific instructions, questions, or scenarios that help the AI system to understand the context and detailed requirements of the task. To achieve optimal outcomes, it is essential to have a good grasp of how AI / GenAI systems work and what they can and cannot do, and also to have a solid understanding of the characteristics ...
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