Using AI to Create Content? Watch Out for Copyright Violations; Chicago Business Attorney Blog, June 20, 2024

George Bellas , Chicago Business Attorney Blog; Using AI to Create Content? Watch Out for Copyright Violations

"Businesses using generative AI programs like ChatGPT to create any content—whether for blogs, websites or other marketing materials, and whether text, visuals, sound or video—need to ensure that they’re not inadvertently using copyrighted materials in the process.

Clearly, the times they are a changing….and businesses need to adapt to the changes.  Employers should promulgate messages to their employees and contractors updating their policy manuals to ensure that communications professionals and others crafting content are aware of the risks of using AI-generated materials, which go beyond the possibility that they are “hallucinated” rather than factual—although that’s worth considering, too."

‘This Is Going to Be Painful’: How a Bold A.I. Device Flopped; The New York Times, June 6, 2024

 Tripp Mickle and Erin Griffith, The New York Times ; ‘This Is Going to Be Painful’: How a Bold A.I. Device Flopped

"As of early April, Humane had received around 10,000 orders for the Ai Pin, a small fraction of the 100,000 that it hoped to sell this year, two people familiar with its sales said. In recent months, the company has also grappled with employee departures and changed a return policy to address canceled orders. On Wednesday, it asked customers to stop using the Ai Pin charging case because of a fire risk associated with its battery.

Its setbacks are part of a pattern of stumbles across the world of generative A.I., as companies release unpolished products. Over the past two years, Google has introduced and pared back A.I. search abilities that recommended people eat rocks, Microsoft has trumpeted a Bing chatbot that hallucinated and Samsung has added A.I. features to a smartphone that were called “excellent at times and baffling at others.”"

Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools; Stanford University, 2024

 Varun Magesh∗ Stanford University; Mirac Suzgun, Stanford University; Faiz Surani∗ Stanford University; Christopher D. Manning, Stanford University; Matthew Dahl, Yale University; Daniel E. Ho† Stanford University, Stanford University

Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools

"Abstract

Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from search and summarization of caselaw to document drafting. But the large language models used in these tools are prone to “hallucinate,” or make up false information, making their use risky in high-stakes domains. Recently, certain legal research providers have touted methods such as retrieval-augmented generation (RAG) as “eliminating” (Casetext, 2023) or “avoid[ing]” hallucinations (Thomson Reuters, 2023), or guaranteeing “hallucination-free” legal citations (LexisNexis, 2023). Because of the closed nature of these systems, systematically assessing these claims is challenging. In this article, we design and report on the first pre- registered empirical evaluation of AI-driven legal research tools. We demonstrate that the providers’ claims are overstated. While hallucinations are reduced relative to general-purpose chatbots (GPT-4), we find that the AI research tools made by LexisNexis (Lexis+ AI) and Thomson Reuters (Westlaw AI-Assisted Research and Ask Practical Law AI) each hallucinate between 17% and 33% of the time. We also document substantial differences between systems in responsiveness and accuracy. Our article makes four key contributions. It is the first to assess and report the performance of RAG-based proprietary legal AI tools. Second, it introduces a com- prehensive, preregistered dataset for identifying and understanding vulnerabilities in these systems. Third, it proposes a clear typology for differentiating between hallucinations and accurate legal responses. Last, it provides evidence to inform the responsibilities of legal professionals in supervising and verifying AI outputs, which remains a central open question for the responsible integration of AI into law.1"

US intelligence agencies’ embrace of generative AI is at once wary and urgent; Associated Press, May 23, 2024

 FRANK BAJAK , Associated Press; US intelligence agencies’ embrace of generative AI is at once wary and urgent

"The CIA’s inaugural chief technology officer, Nand Mulchandani, thinks that because gen AI models “hallucinate” they are best treated as a “crazy, drunk friend” — capable of great insight and creativity but also bias-prone fibbers. There are also security and privacy issues: adversaries could steal and poison them, and they may contain sensitive personal data that officers aren’t authorized to see.

That’s not stopping the experimentation, though, which is mostly happening in secret. 

An exception: Thousands of analysts across the 18 U.S. intelligence agencies now use a CIA-developed gen AI called Osiris. It runs on unclassified and publicly or commercially available data — what’s known as open-source. It writes annotated summaries and its chatbot function lets analysts go deeper with queries...

Another worry: Ensuring the privacy of “U.S. persons” whose data may be embedded in a large-language model.

“If you speak to any researcher or developer that is training a large-language model, and ask them if it is possible to basically kind of delete one individual piece of information from an LLM and make it forget that -- and have a robust empirical guarantee of that forgetting -- that is not a thing that is possible,” John Beieler, AI lead at the Office of the Director of National Intelligence, said in an interview.

It’s one reason the intelligence community is not in “move-fast-and-break-things” mode on gen AI adoption."