David Robinson

David Robinson

San Francisco, California, United States
3K followers 500+ connections

About

I make lenses for understanding the human and political impact of data-driven technology…

Activity

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Experience

  • OpenAI Graphic

    OpenAI

    San Francisco, California, United States

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    San Francisco Bay Area

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    Washington DC-Baltimore Area

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    Washington DC

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    Washington D.C. Metro Area

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    Hong Kong

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Education

  • Yale Law School Graphic

    Yale Law School

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    Activities and Societies: Rhodes Scholar

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    Activities and Societies: Daily Princetonian, Quadrangle Club, Orange Key

Publications

  • Accountable Algorithms

    165 U. Penn L. Rev. 633

    Many important decisions formerly made by people are now made by computers, in areas ranging from criminal justice to health to employment and beyond. Legal and policy tools designed for human decisionmakers are poorly suited to ensure that automated decisions are correct and fair. Drawing on computer science expertise, we propose a new governance strategy, using cryptography to prove that a decision is rule-bound and correct, even when the decision comes from a “black box” that is secret or is…

    Many important decisions formerly made by people are now made by computers, in areas ranging from criminal justice to health to employment and beyond. Legal and policy tools designed for human decisionmakers are poorly suited to ensure that automated decisions are correct and fair. Drawing on computer science expertise, we propose a new governance strategy, using cryptography to prove that a decision is rule-bound and correct, even when the decision comes from a “black box” that is secret or is too complex for direct human inspection.

    Honored with the Future of Privacy Forum’s “Privacy Papers for Policymakers” award for “the year’s leading privacy research and scholarship judged most useful for policymakers in the U.S. Congress, federal and state agencies, and around the world,” 2016.

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  • The New Ambiguity of “Open Government”

    9 UCLA L. Rev. Disc. 178

    The phrase “open government” originally referred to politically sensitive disclosures of government information. But during President Obama’s first term, that traditional meaning blurred and shifted toward technology. A recent technocratic trend toward “open government data” has changed the public discourse so that now, even a repressive government can claim the mantle of openness if it uses open source or certain other technologies. Our article proposes a new and clearer frame for the debate…

    The phrase “open government” originally referred to politically sensitive disclosures of government information. But during President Obama’s first term, that traditional meaning blurred and shifted toward technology. A recent technocratic trend toward “open government data” has changed the public discourse so that now, even a repressive government can claim the mantle of openness if it uses open source or certain other technologies. Our article proposes a new and clearer frame for the debate, separating the politics of open government from the technologies of open data.

    Cited 185 times (per Google Scholar). Featured on syllabi at Columbia University’s School of International and Public Affairs, Toronto Munk School of Global Affairs, Hebrew University of Jerusalem, and the Global Law Program of Fundação Getulio Vargas (Brazil).

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  • Government Data and the Invisible Hand

    11 Yale J. L. & Tech. 160

    We argue for a fundamentally new approach to Internet-enabled government transparency: the executive branch should focus on creating a simple, reliable and publicly accessible infrastructure that exposes the underlying data it seeks to disclose. Private actors, either nonprofit or commercial, are better suited to deliver government information to citizens and can constantly create and reshape the tools individuals use to find and leverage public data. We further argue that the best way to…

    We argue for a fundamentally new approach to Internet-enabled government transparency: the executive branch should focus on creating a simple, reliable and publicly accessible infrastructure that exposes the underlying data it seeks to disclose. Private actors, either nonprofit or commercial, are better suited to deliver government information to citizens and can constantly create and reshape the tools individuals use to find and leverage public data. We further argue that the best way to effectuate this policy—and insure broad and meaningful access to public data for third party innovators—is to require that federal websites themselves use the same open systems for accessing the underlying data as they make available to the public at large.

    Context: This article—first released in the summer of 2008—was a key point of reference for the incoming Obama administration, and substantially shaped the federal government’s first-ever “open data” policy. All three of my coauthors on this paper were computer scientists.

    Cited 219 times (per Google Scholar). Featured on syllabi at Stanford, NYU Wagner Graduate School of Public Service, and Rutgers.

    “The rationale for Data.gov was laid out convincingly by David G. Robinson et al. in ‘Government Data and the Invisible Hand’” – Tim O’Reilly, Government as a Platform, in Open Government: Transparency, Participation, and Collaboration in Practice (2010).

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Projects

  • Stuck in a Pattern: Early Evidence on "Predictive Policing" and Civil Rights

    The term “predictive policing” refers to computer systems that use data to forecast where crime will happen or who will be involved. Though these systems are rolling out in police departments nationwide, our report found pervasive, fundamental gaps in what’s publicly known about them. In our survey of the nation’s 50 largest police forces, we found that at least 20 of them have used a predictive policing system, with at least an additional 11 actively exploring options to do so. Vendors shield…

    The term “predictive policing” refers to computer systems that use data to forecast where crime will happen or who will be involved. Though these systems are rolling out in police departments nationwide, our report found pervasive, fundamental gaps in what’s publicly known about them. In our survey of the nation’s 50 largest police forces, we found that at least 20 of them have used a predictive policing system, with at least an additional 11 actively exploring options to do so. Vendors shield the technology in secrecy, and informed public debate is rare. Early research findings suggest that these systems may not actually make people safer — and that they may lead to even more aggressive enforcement in communities that are already heavily policed.

    Together with our report, we also published a coalition statement of concern by 17 civil rights, media rights and technology policy organizations, which can be viewed at https://www.aclu.org/other/statement-concern-about-predictive-policing-aclu-and-16-civil-rights-privacy-racial-justice . I led the drafting process for that statement.

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  • What ISPs Can See: Clarifying the Technical Landscape of the Broadband Privacy Debate

    In early 2016 the Federal Trade Commission, having reclassified broadband Internet service as a common carriage service, was considering whether to impose strong new privacy rules for broadband Internet service. Some voices in the debate argued that encryption removes the need for any privacy rules—a position favored by the broadband industry. We provided an accessible, technically robust counterpoint to this argument, explaining that Internet providers can still see a significant amount of…

    In early 2016 the Federal Trade Commission, having reclassified broadband Internet service as a common carriage service, was considering whether to impose strong new privacy rules for broadband Internet service. Some voices in the debate argued that encryption removes the need for any privacy rules—a position favored by the broadband industry. We provided an accessible, technically robust counterpoint to this argument, explaining that Internet providers can still see a significant amount of their subscribers’ Internet activity, and can still infer substantial amounts of sensitive information from that activity, even after strong encryption technologies are widely adopted. In its eventual order adopting strong privacy rules for broadband service, the FCC cited our report twelve times. See FCC Report and Order in the Matter of Protecting the Privacy of Consumers of Broadband and Other Telecommunications Services, FCC Dkt. 16-148 (Oct. 27, 2016).

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  • Civil Rights Principles for the Era of Big Data

    Served as lead drafter of Civil Rights Principles for the Era of Big Data, the first major public statement to draw attention to how big data can threaten civil rights, which were endorsed by a broad national coalition of leading civil rights organizations. Those principles, and our subsequent in-person coalition briefing of White House officials, led a White House report to conclude that “big data analytics have the potential to eclipse longstanding civil rights protections in how personal…

    Served as lead drafter of Civil Rights Principles for the Era of Big Data, the first major public statement to draw attention to how big data can threaten civil rights, which were endorsed by a broad national coalition of leading civil rights organizations. Those principles, and our subsequent in-person coalition briefing of White House officials, led a White House report to conclude that “big data analytics have the potential to eclipse longstanding civil rights protections in how personal information is used in housing, credit, employment, health, education, and the marketplace.” See Big Data: Seizing Opportunities, Preserving Values, (Exec. Office of the President), May 2014.

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  • Collateral Freedom: A Snapshot of Chinese Users Circumventing Censorship

    Internet users in China can't freely explore the Internet because of the regime's “Great Firewall,” a sophisticated infrastructure of technical filters and controls. Governments and philanthropies fund software to help users break through that barrier. We built and executed a survey to reach those users and find out which tools work best for them. Our results led us to propose a new strategic approach to the problem, which we termed “collateral freedom”—maximizing the collateral economic cost…

    Internet users in China can't freely explore the Internet because of the regime's “Great Firewall,” a sophisticated infrastructure of technical filters and controls. Governments and philanthropies fund software to help users break through that barrier. We built and executed a survey to reach those users and find out which tools work best for them. Our results led us to propose a new strategic approach to the problem, which we termed “collateral freedom”—maximizing the collateral economic cost of Internet censorship, without necessarily using the most elaborate encryption. Funders and advocates have embraced this new approach, and continue to use this framing to guide their work. See, e.g., Collateral Freedom: Thwarting Censorship in 13 “Enemy of the Internet” Countries, Reporters Sans Frontiers (March 12, 2016).

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