Algorithms Are Biased, But We Can Make Them Fairer
By Alexandra Wood, Harvard University & Micah Altman, MIT
Machines don't fix our biases, they mirror them. Algorithms can make things fairer only if we design them with fairness in mind.
Micah Altman
Disciplines:
Social SciencesDr. Micah Altman is Director of Research and Head/Scientist of the Program on Information Science for the MIT Libraries at the Massachusetts Institute of Technology. He is also a Non-Resident Senior Fellow at The Brookings Institution and a member of Harvard University’s Privacy Tools Project, a multidisciplinary effort to advanced understanding of data privacy issues and build computational, statistical, legal, and policy tools to help address these issues in a variety of contexts. Prior to joining MIT, Micah served at Harvard University for fifteen years as the Associate Director of the Harvard-MIT Data Center, Archival Director of the Henry A. Murray Archive, and Senior Research Scientist in the Institute for Quantitative Social Sciences.
Micah conducts research primarily in the fields of social science, information privacy, information science and research methods, and statistical computation. His work focuses on the intersections of information, technology, privacy, and politics, as well as on the dissemination, preservation, reliability and governance of scientific knowledge. He earned a Ph.D. in Social Science from the California Institute of Technology and conducted his postdoctoral research at Harvard University.
