The rapid development of artificial intelligence technologies around the globe has led to increasing calls for robust AI policy: laws that let innovation flourish while protecting people from privacy violations, exploitive surveillance, biased algorithms, and more.
“There still isn’t a unified way to predict how well a neural network will perform given certain factors like the shape of the model or the amount of data it’s been trained on,” says Jonathan Rosenfeld, who recently developed a new framework on the topic with colleagues at MIT CSAIL.
“We all have an interest in increasing access to the ballot, but in order to maintain trust in our elections system, we must assure that voting systems meet the high technical and operation security standards before they are put in the field,” says Weitzner. “We cannot experiment on our democracy.”
Artificial intelligence is reshaping how we live, learn, and work, and this past fall, MIT undergraduates got to explore and build on some of the tools and coming out of research labs at MIT.
