Artificial intelligence is everywhere, from the apps people use to the systems that shape hiring decisions and healthcare. But what happens when these tools don\u2019t work equally well for everyone?<\/p>\n
That question drives the research of Allison Koenecke, a new assistant professor of information science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Koenecke\u2019s work has helped expose disparities in speech-to-text technologies, which can misinterpret speakers with minoritized dialects or health conditions \u2014 leading to real-world consequences in medicine, employment, and beyond.<\/p>\n
Koenecke\u2019s research has been cited in legal cases, including one brought by the American Civil Liberties Union<\/a> (ACLU) against a hiring platform that failed to accommodate a Deaf applicant. Additionally, her work has been cited in investigative reporting, including\u00a0a piece in AP News<\/a> about the potential for hallucinations in medical transcriptions.<\/p>\n