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Artificial intelligence (AI) is reshaping economic systems, geopolitics, and society—and its transformative influence is set to deepen in the years ahead. The United States’ leadership in AI follows a similar blueprint to previous technological revolutions—such as semiconductors and the Internet—where federal investments played a catalytic role.
A new study by researchers at Cornell Tech and the University of Pennsylvania shows freelance writers who are suspected of using AI have worse evaluations and hiring outcomes. Freelancers whose profiles suggested they had East Asian identities were more likely to be suspected of using AI than profiles of white Americans. And men were more likely to be suspected of using AI than women.
Artificial intelligence-based writing assistants are popping up everywhere – from phones to email apps to social media platforms.
But a new study from Cornell – one of the first to show an impact on the user – finds these tools have the potential to function poorly for billions of users in the Global South by generating generic language that makes them sound more like Americans.
Sanjiban Choudhury, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, just received a three-year, $750,000 Young Investigator Program award from the Office of Naval Research (ONR) to develop new ways to train robots to perform complex, multistep tasks, such as inspecting and repairing ship engines.
Critics of affirmative action in higher education have argued that the policy deprives more qualified students of a spot at a university or college. A new study by Cornell researchers finds that ignoring race leads to an admitted class that is much less diverse, but with similar academic credentials.
The AI for Sustainability (AI4S) Visiting Professorship has launched at Cornell, designed to bring faculty scholars from across the world to the university to tackle pressing global challenges in sustainability through the power of artificial intelligence.
Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.
While humans still make many high-stakes decisions – like who should get a job, admission to college or a spot in a clinical trial – artificial intelligence (AI) models are increasingly used to narrow down the applicants into a manageable shortlist.
Polymath scholar Sendhil Mullainathan ’93, a behavioral economist who has combined computational and social sciences to produce pioneering work on health care, poverty and the criminal justice system, will deliver three public lectures at Cornell Nov. 11-13 for the Messenger Lectures series.
