A combination of biased data and decontextualized models has led to a host of “intelligent” algorithms that are capable of reflecting and exacerbating human biases. As the use of such algorithms in societal contexts proliferates, the question arises: How can we redesign them to mitigate bias?
Nisheeth Vishnoi's research spans several areas of theoretical computer science: from approximability of NP-hard problems, to combinatorial, convex and non-convex optimization, to tackling algorithmic questions involving dynamical systems, stochastic processes, and polynomials.
At FESC, scholars and practitioners discuss works-in-progress on the freedoms of speech, expression, press, association, petition, and assembly, as well as on related issues of knowledge and information policy.
In 2012 the Department of Justice accused Apple and five book publishers of conspiring to fix eBook prices. The evidence overwhelmingly showed an unadorned price-fixing conspiracy that cost consumers hundreds of millions of dollars. Yet before, during, and after the closely watched trial, Americans remained very divided over the case, and many, all across the political spectrum, sided with the defendants.