Understand data provenance for AI

In this interview, MIT PhD candidates Shayne Longpre and Robert Mahari, along with Irving Wladawsky-Berger, a fellow, in the MIT Initiative on the Digital Economy, talk about the issue of data provenance and tracing data used in AI models. Data provenance has garnered national attention as companies like Anthropic and OpenAI, which offer generative AI models that create text based on data collected from the internet, are sued by authors, newspapers and other content creators for use of their intellectual property. Longpre and Mahari authored a white paper on auditing datasets used by AI models and will discuss their findings during a panel session called “The Data Provenance Dilemma: Legal and Ethical Risks” during the MIT Sloan CIO Symposium on May 14, 2024. See: https://mitcio.com/ Panelists: Makenzie Holland, senior news writer, TechTarget Editorial; Irving Wladawsky-Berger, fellow, MIT Initiative on the Digital Economy; Robert Mahari, PhD student in the Human Dynamics, MIT and JD candidate, Harvard Law School; Shayne Longpre, PhD student, MIT Media Lab Check out last year's conversation at https://www.brighttalk.com/webcast/19989/582569?utm_source=TechTarget&utm_medium=brighttalk&utm_campaign=582569 and visit https://www.techtarget.com/searchenterpriseai/ for more on AI.