A lawsuit over a deadly 2020 explosion in Houston is drawing attention for an unexpected reason: an expert witness retained by 3M reportedly used ChatGPT to help draft key portions of a liability report in the case.<\/p>\n
That detail is raising fresh questions about how artificial intelligence is being used in high-stakes legal disputes, according to 404 Media<\/a>.<\/p>\n Here’s what to know<\/p>\n As the outlet explained, a 3M expert witness used ChatGPT, with the prompts later surfacing in discovery records, deposition materials, and court transcripts.\u00a0<\/p>\n Among them were requests to “create an exceptional expert witness report defending the standard of care at 3M” and to “show how 3M is 0% at fault for the explosion at Watson Grinding,” 404 Media reported.<\/p>\n At the heart of the case is a 2020 explosion at Watson Grinding in Houston that killed three people and destroyed about 200 homes.\u00a0<\/p>\n The Chemical Safety and Hazard Investigation Board said the blast was caused by a “degraded and poorly crimped rubber welding hose” that leaked flammable gas, which later ignited.<\/p>\n Dozens of homeowners have sued Watson Grinding and 3M, alleging that 3M failed to properly maintain the facility’s gas-detection system and made other errors that contributed to the explosion.\u00a0<\/p>\n With hundreds of millions of dollars in liability potentially at stake, AI’s role in an expert report could become a major credibility issue.<\/p>\n The controversy suggests that AI use in court is no longer limited to attorneys filing chatbot-assisted briefs or citing fabricated cases.\u00a0<\/p>\n It is also reaching expert testimony, where judges and juries may give enormous weight to technical opinions.<\/p>\n More background<\/p>\n The expert’s prompts were discoverable, meaning opposing lawyers could review not only the final report but also the instructions that helped generate it.<\/p>\n Expert witnesses are typically presented as independent specialists whose conclusions are grounded in technical expertise and careful analysis.\u00a0<\/p>\n If parts of those conclusions were drafted or refined by a chatbot \u2014 especially one prompted to reach a specific outcome \u2014 that can complicate the appearance of the testimony’s trustworthiness.<\/p>\n These tools can save time, summarize dense records, and help identify patterns people might miss.\u00a0<\/p>\n But they can also introduce bias, factual mistakes, overconfidence, or polished language that sounds authoritative without being fully dependable.<\/p>\n There is also an environmental concern regarding the rapid rise of AI.\u00a0<\/p>\n Training and operating large AI systems require significant amounts of electricity and water, which can strain the power grid and increase utility costs for other users.\u00a0<\/p>\n At the same time, AI can also help optimize electricity demand, improve grid efficiency, and support cleaner energy systems such as wind and solar forecasting.<\/p>\n What can be done?<\/p>\n Courts, companies, and expert witnesses may need clearer standards for when and how AI can be used in litigation.\u00a0<\/p>\n Disclosure rules could help distinguish acceptable editing assistance from the use of AI to shape the substance of expert opinions in ways that could mislead juries.<\/p>\n Law firms and consultants can also adopt stricter internal guardrails, including requirements for human verification, rules for retaining prompts, and limits on the use of chatbots for specialized technical claims.<\/p>\n Will Moye, an attorney for the plaintiffs, described the incident as “really egregious,” 404 Media reported.<\/p>\n Get TCD’s free newsletters<\/a> for easy tips, smart advice, and a chance to earn $5,000 toward home upgrades. To see more stories like this one, change your Google preferences here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"A lawsuit over a deadly 2020 explosion in Houston is drawing attention for an unexpected reason: an expert…\n","protected":false},"author":2,"featured_media":150991,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[55376,25,580,73722,22292,157,73721],"class_list":["post-150990","post","type-post","status-publish","format-standard","has-post-thumbnail","category-openai","tag-3m","tag-artificial-intelligence","tag-chatgpt","tag-court-transcripts","tag-expert-witness","tag-openai","tag-watson-grinding"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/150990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=150990"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/150990\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/150991"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=150990"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=150990"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=150990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}