María De Arteaga Wins @msft_research Microsoft Research Dissertation Grant for 2018 - @Microsoft is Broadening the PhD pipeline to increase innovation.
Full list of recipients: https://goo.gl/gavnQ8
Dissertation Title: Quantifying and Mitigating Risks of Algorithmic Decision Support
Machine learning is increasingly being used for decision support in critical settings, where predictions have potentially grave implications over human lives. Examples of such applications include child welfare, criminal justice, and healthcare. In these settings, the characteristics of available data and of deployment contexts give rise to challenges that have not been sufficiently addressed in the machine learning literature, including the presence of selective labels, unobservables, and the effects of omitted payoff bias. When left unaddressed, these challenges may lead to systemic biases, self-fulfilling prophecies, and loss of human trust in the systems. My research is focused on quantifying the performance and fairness risks of algorithmic learning in these settings, and on reducing these risks by developing novel algorithms.