Thursday, March 07, 2024

Took a while, but worth reading…

https://www.bespacific.com/report-of-the-1st-workshop-on-generative-ai-and-law/

Report of the 1st Workshop on Generative AI and Law

Report of the 1st Workshop on Generative AI and Law (November 16, 2023). Yale Law & Economics Research Paper, Available at SSRN: https://ssrn.com/abstract=4634513 or http://dx.doi.org/10.2139/ssrn.4634513

This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw), held in July 2023. A cross-disciplinary group of practitioners and scholars from computer science and law convened to discuss the technical, doctrinal, and policy challenges presented by law for Generative AI, and by Generative AI for law, with an emphasis on U.S. law in particular. We begin the report with a high-level statement about why Generative AI is both immensely significant and immensely challenging for law. To meet these challenges, we conclude that there is an essential need for 1) a shared knowledge base that provides a common conceptual language for experts across disciplines; 2) clarification of the distinctive technical capabilities of generative-AI systems, as compared and contrasted to other computer and AI systems; 3) a logical taxonomy of the legal issues these systems raise; and, 4) a concrete research agenda to promote collaboration and knowledge-sharing on emerging issues at the intersection of Generative AI and law. In this report, we synthesize the key takeaways from the GenLaw workshop that begin to address these needs. All of the listed authors contributed to the workshop upon which this report is based, but they and their organizations do not necessarily endorse all of the specific claims in this report.”





Similar to what Ukraine has been doing for some time.

https://www.livescience.com/technology/engineering/ai-drone-that-could-hunt-and-kill-people-built-in-just-hours-by-scientist-for-a-game

AI drone that could hunt and kill people built in just hours by scientist 'for a game'

The scientist who configured a small drone to target people with facial recognition and chase them at full speed warns we have no defenses against such weapons.





Apparently we don’t exactly know what we want…

https://www.fastcompany.com/91044103/what-is-artificial-general-intelligence-openai-gpt-4-musk-lawsuit

Admit it: ‘Artificial general intelligence’ may already be obsolete

Expecting OpenAI’s GPT and other large language models to beat humans at thinking like a human might be missing the point.

The whole notion of AGI is predicated on the assumption that AI started out dumber than a human but could someday match or exceed our level of thinking. Already, though, generative AI is different than human intelligence—far closer to omniscient than any individual flesh-and-blood thinker, yet also preternaturally gullible and prone to blurring fact and fiction in ways that don’t map to common human frailties. That’s because it’s a predictive engine, trained to string together words without truly understanding them. If its present trajectory of simulated brilliance mixed with boneheadedness continues, it might wander off in a direction far afield from most definitions of AGI.





Resource.

https://www.bespacific.com/linkedin-learning-unlocks-250-free-ai-courses-for-a-limited-time/

LinkedIn Learning Unlocks 250 Free AI Courses for a Limited Time

Tech Republic: “LinkedIn also released its 2024 Workplace Learning Report, which found that more people want to learn AI skills. Plus, LinkedIn Learning is offering new career development and internal mobility features. To help build AI literacy in the enterprise, LinkedIn is offering 250 AI courses for free through April 5th in tandem with its annual 2024 Workplace Learning Report, which highlights the state of learning and development and the skills needed for the future. There’s little doubt that employees want to develop critical AI skills — four in five people want to learn more about how to use AI in their profession, according to the LinkedIn Learning report (Figure A). That high number was one of the surprise findings of the report, Jill Raines, director of product management at LinkedIn, told TechRepublic in an email interview…”

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