UC Berkeley School of Information

Master of Information and Data Science (MIDS) alums Kevin Ngoc Hoang, Xinyun (Roxy) Rong, Maggie Corry, and Roshni Suresh Tajnekar are the winners of the Sarukkai Social Impact Award, for their project, Carbon AIQ. The MIDS team focuses on carbon offsetting, a way to reduce greenhouse gas emissions by investing in projects that lower or remove CO2 and other greenhouse gases from the atmosphere. Carbon offset markets, or trading systems where organizations buy and sell carbon credits to compensate for greenhouse gas emissions, are divided into government-run compliance and open-access voluntary markets. They addressed voluntary markets’ credibility and accessibility issues by compiling and tracking data bases of current carbon projects and the lifecycle of carbon credits, making it easier for environmentalists to access the information they need to fight against climate change.

Could you recognize an AI-generated voice from a real one? How about if two voices are the same? Turns out, the odds aren’t in your favor.

New research published in Nature Scientific Reports by UC Berkeley School of Information Ph.D. student Sarah Barrington, Professor Hany Farid, and School of Optometry Professor Emily Cooper found that people cannot consistently identify recordings of AI-generated voices.