FADE (Fairness, Accountability, Disinformation, and Explainability) Task Force
Chair: Suresh Venkatasubramanian
This task force addresses the overlapping areas of fairness, accountability, disinformation, and explainability within algorithms, big data, and the Internet. This task force combines the works of the previous Fairness and Accountability and Information Integrity task forces.
Public materials produced by the CCC that relate to the goals of this task force include:
- The Big Data, Data Science, and Civil Rights white paper
- The Privacy-Preserving Data Analysis for the Federal Statistical Agencies white paper
- The Towards a Privacy Research Roadmap for the Computing Community white paper
- The Privacy by Design – State of Research and Practice workshop report
- The Privacy by Design – Privacy Enabling Design workshop report
- The Privacy by Design – Engineering Privacy workshop report
- BIG DATA: Seizing Opportunities, Preserving Values
- Report to the President on Big Data and Privacy: A Technological Perspective
The CCC’s Privacy-related workshops include:
- Fair Representations and Fair Interactive Learning, March 18-19, 2018
- Sociotechnical Cybersecurity workshop series, 2016-2017
- Privacy by Design Workshop Series, 2015-2016
Towards a Privacy Research Roadmap for the Computing Community
In early 2015, the CCC commissioned members of the privacy research community to generate a short report to help guide strategic thinking in this space. The effort aimed to complement and synthesize other recent documents, including the White House BIG DATA: Seizing Opportunities, Preserving Values Report and the Report to the President on Big Data and Privacy: A Technological Perspective. In May, the CCC released the resultant community report, Towards a Privacy Research Roadmap for the Computing Community.
The editors of the paper describe a research agenda that seeks to lead the community to a state where:
- We have a rigorous science of privacy that applies across different application domains;
- We understand the needs, expectations, and incentives of the humans who use information systems, and can design systems that are sensitive to them;
- We can engineer systems that enable us to enjoy both privacy and the benefits of data use to the maximum extent possible, showing that the tradeoff between the two can be much less stark than our current approaches offer
To reach this state, the editors believe that the research strategy needs to:
- Emphasize understanding, defining, and measuring the privacy of information systems
- Recognize and support the many stages and dimensions of privacy research
- Enable interdisciplinary research strategies
- Foster a technology-policy dialogue
Data, Algorithms, and Fairness
Privacy by Design Workshops
The CCC also launched a series of four Privacy by Design workshops in 2015. The workshops are aimed at identifying a shared research vision to support the practice of privacy-by-design. They convene both practitioners with direct experience of the challenges in implementing privacy-by-design from a range of fields—software developers, privacy engineers, usability and interaction designers, chief privacy officers—and researchers from an equally broad range of disciplines.
Privacy by Design- State of Research and Practice
February 5-6, 2015
Regulators, academics and industry have called for privacy-by-design as a way to address growing privacy concerns with rapidly developing technology. The public and private sector are responding — hiring privacy engineers to join the ranks of privacy-oriented professionals, often working under the guidance of a chief privacy officer. Yet, implementing concepts of privacy through design is an open challenge and research area. There is a limited, disparate, and fragmented body of research affirmatively positioned as privacy-by-design.
Privacy by Design- Privacy Enabling Design
May 7-8, 2015
This workshop covered the latest research results in user interface design, usability and human factors including studies of user behavior and recent findings in privacy displays, nudging, privacy preference modeling, to name a few. While regulators attempt to drive privacy-by-design, there is little evidence that the class of professionals who consider themselves designers are engaged in the conversation.
Privacy by Design- Engineering Privacy
August 31-September 1, 2015
This workshop will survey emerging challenges in engineering privacy from applications of cryptographic protocols and privacy-preserving databases, to formal notations and programming languages in identity management, de-identification, and software specification. This survey will review known challenges, such as understanding privacy policies (e.g., privacy laws in regulated sectors like healthcare and finance; privacy promises in self-regulated sectors like Web services) in computational terms so that tools can be developed to help with their enforcement. The workshop will raise awareness of how well these results address the concepts and open problems identified in workshop #2, as well as serve to identify open research questions.
Privacy by Design- Catalyzing Privacy by Design
January 6-8, 2016
This workshop reviewed the lessons from workshops #1-3 and examine how existing regulatory models, along with other factors, shape organizations’ understanding of privacy problems, approaches, and solutions. Building on workshop-generated insights on the strengths and limitations of current approaches—in terms of concepts, incentives, actors—the workshop considered how well regulatory models respond to privacy-by-design challenges, and identify open research questions. A goal of the overall project was to broaden the lens through which privacy-by-design is viewed by the research community—positioning technical design along side theoretical/conceptual, organizational, and regulatory design questions. Thus, gaining some understanding of the forces that drive the choice of methods, tools, and approaches is a core goal of engagement with industrial innovators. Building on insights from earlier workshops we identified open research questions about the relationship between regulatory form and other external and internal features of the privacy field, and the expression of privacy in firm practice.