Against the Federal Moratorium on State-Level Regulation of AI
Cast your mind back to May of this year: Congress was in the throes of debate over the massive budget bill. Amidst the many seismic provisions, Senator Ted Cruz dropped a ticking time bomb of tech policy: a ten-year moratorium on the ability of states to regulate artificial intelligence. To many, this was catastrophic. The few massive AI companies seem to be swallowing our economy whole: their energy demands are overriding household needs, their data demands are overriding creators’ copyright, and their products are triggering mass unemployment as well as new types of clinical ...
This is a pretty significant change for many of us who had been concerned about vetting data protection agreements with Anthropic before allowing user access to the Claude option in Coiplot Chat, and who've also watched new agents for Word, Excel, and PowerPoint rollout, but not to our tenants with Anthropic model access disabled.
Learn why GenAI prompts, responses, and logs may be discoverable in litigation, what courts are signaling, and how legal teams should manage this emerging data type.
In his 2020 book, “Future Politics,” British barrister Jamie Susskind wrote that the dominant question of the 20th century was “How much of our collective life should be determined by the state, and what should be left to the market and civil society?” But in the early decades of this century, Susskind suggested that we face a different question: “To what extent should our lives be directed and controlled by powerful digital systems—and on what terms?” Artificial intelligence (AI) forces us to confront this question. It is a technology that in theory amplifies the power of its users: A manager, marketer, political campaigner, or opinionated internet user can utter a single instruction, and see their message—whatever it is—instantly written, personalized, and propagated via email, text, social, or other channels to thousands of people within their organization, or millions around the world. It also allows us to individualize solicitations for political donations, elaborate a grievance into a well-articulated policy position, or tailor a persuasive argument to an identity group, or even a single person...
Lawyers using AI keep turning up in the news for all the wrong reasons—usually because they filed a brief brimming with cases that don’t exist. The machines didn’t mean to lie. They just did …
Taming Modern Data Challenges: Generative AI Created Content
Explore the discovery challenges of generative AI content in our latest blog. Learn how tools like ChatGPT and Copilot impact litigation, and discover best practices for collecting and authenticating AI-generated data.
People are more likely to act dishonestly when delegating tasks to AI
Handing off a task to an artificial intelligence system creates a psychological distance that encourages unethical behavior. New research published in Nature demonstrates this "machine delegation" significantly lowers the moral cost for people who want to cheat for personal gain.
This collaboration between Lana Swartz, Alice E. Marwick, and Kate Larson maps generative AI's role in scams, the communities most at risk, and the broader economic and cultural shifts at play.
AI Notetaking Tools Under Fire: Lessons from the Otter.ai Class Action Complaint
The rapid adoption of AI notetaking and transcription tools has transformed how organizations (and individuals) capture, analyze, and share meeting and