"Against 'Democratizing AI'," authored by Johannes Himmelreich, assistant professor of public administration and international affairs, was published in AI & Society: Knowledge, Culture and Communication.
The Hon. James E. Baker, professor of public administration and international affairs by courtesy appointment, expects the complexity of models to make controversies over AI evidence more vexing than debates over DNA evidence. “The challenge with AI is every AI model is different,” he said, “What’s more, AI models are constantly learning and changing.”
In the glory days of the American labor movement, when unions were strong and wages rose alongside productivity, “organized workers could cash that out as more free time,” says Aaron Benanav, assistant professor of sociology. “But for decades, workers haven’t even been getting that choice because, for the most part, productivity growth has ended up as higher profits and more inequality.”
Two Syracuse University institutes are welcoming researchers, academic leaders, policymakers and journalists for discussions in Washington, D.C., about innovations, vulnerabilities and the future of artificial intelligence. The two-day AI Policy Symposium that begins Thursday in the nation’s capital is organized by the Institute for Democracy, Journalism and Citizenship and the Autonomous Systems Policy Institute.
“Sixty-nine percent of those who currently live in the U.S. say that visa and immigration issues are a serious problem for them conducting AI research,” says Baobao Zhang, assistant professor of political science and senior research associate in the Autonomous Systems Policy Institute.
“I think about academics having to write grants all the time,” says Aaron Benanav, assistant professor of sociology, as an example. Those can be formulaic and would take far less time with the help of a machine. In programming, it’s helping engineers “write up basic outlines of code or sometimes like whole sections of code,” he says.