An interview with Dr. Howard Stevenson. Read on Points

Michele Gilman argues for the inclusion of low-income people in the conversation around data privacy legislation. Read on Jurist

The Algorithmic Accountability Act is a step forward, but there's still room for improvement. Postdoctoral Scholar Andrew Selbst and Margot Kaminski explain. "The bill is a meaningful first step in addressing the problems ... Read on The New York Times

Michele Gilman points out that data privacy is an economic justice issue. Read on The Conversation

The Algorithmic Accountability Act is a great first step, and regulators who are tasked with implementing it should take sociotechnical frames into account. "A sociological lens can help illuminate appropriate points of inst... Read on Points

In this paper, authors identify the challenges to integrating fairness into machine learning based systems and suggest next steps. "In this paper, however, we contend that these concepts render technical interventions ineffect... Read on SSRN

Data & Society Fellow Cynthia Conti-Cook and co-authors assess the bias involved in risk assessment tools. "In the top layer, we identify challenges to fairness within the risk-assessment models themselves. We explain type... Read on Criminal Justice and Behavior

As AI becomes integrated into different facets of our lives, Data & Society Researcher Kadija Ferryman joins Robert A. Winn in considering what this means for the field of health. "How can we bring together the excitement ... Read on The Cancer Letter

Silicon Valley hopes to leverage data in order to disrupt the credit systems that many low-wage workers rely on. But at what cost? The Workers Lab Co-Founder and CEO Carmen Rojas; Entrepreneur and Author Rachel Schneider; an... Read more

2017-2018 Fellow Jeanna Matthews and Research Analyst Kinjal Dave respond to Deji Olukotun's story about an algorithmic tennis match.  "The answer can’t be derived from the past alone: It depends on what we collectively decide... Read on Slate