ACM US Public Policy Council to Host Panel on Algorithmic Transparency and Accountability

Experts to Explore Far-Reaching Impact of Algorithms on Society and Best Strategies to Prevent Algorithmic Bias

Washington, DC, August 24, 2017 – The US Public Policy Council of the Association for Computing Machinery (USACM) will host a panel discussion, “Algorithmic Transparency and Accountability.” The event will provide a forum for a discussion between stakeholders and leading computer scientists about the growing impact of algorithmic decision making on our society and the technical underpinnings of algorithmic models.

Panelists will discuss the principles advanced in USACM’s recent Statement on Algorithmic Transparency and Accountability, issued jointly with the ACM Europe Council Policy Committee (EUACM).  They will also explore opportunities for cooperation between academia, government and industry around these principles.

WHEN: Thursday, September 14, 2017 from 9:00 a.m. to 10:30 a.m.

WHERE: National Press Club, Fourth Estate Room, Washington, DC

PANELISTS:

  • Simson L. Garfinkel (Moderator), Co-Chair of USACM's working group on Algorithmic Transparency and Accountability. His current research interests include privacy in big data, cybersecurity and usability.
  • Geoff A. Cohen, Ph.D., Vice President at Stroz Friedberg, an Aon company, specializing in computer science and intellectual property litigation, including patent, trade secret, and copyright cases.
  • Nicholas Diakopoulos, Assistant Professor of Communication at Northwestern University, Tow Fellow at Columbia University School of Journalism, and Associate Professor II at the University of Bergen Department of Information Science and Media Studies.
  • Ansgar Koene, Ph.D., Senior Research Fellow at Horizon Digital Economy Research institute, University of Nottingham and Chair of the IEEE P7003 Standard for Algorithm Bias Considerations Working Group.
  • Jeanna Neefe Matthews, Associate Professor of Computer Science at Clarkson University. She is a co-chair of USACM's working group on Algorithmic Transparency and Accountability and a fellow at Data and Society.
  • Dan Rubins, co-founder of Legal Robot, a company that uses machine learning to understand contracts.  In 2015 he co-founded the company after building enterprise software for companies like Wells Fargo and McKesson.

MORE: For more information, visit www.acm.org/public-policy/algorithmic-panel.

MEDIA REGISTRATION: Contact Jim Ormond at [email protected].

About the ACM US Public Policy Council

The ACM US Public Policy Council (USACM) serves as the focal point for ACM's interaction with the US government in all matters of US public policy related to information technology. ACM US Public Policy Council statements represent the views of the Council and do not necessarily represent the views of the Association.

About ACM

ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges. ACM strengthens the computing profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

Contact:
Jim Ormond
212-626-0505
[email protected]

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