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Administrative Law Commons

Open Access. Powered by Scholars. Published by Universities.®

Public Law and Legal Theory

University of Pennsylvania Carey Law School

2019

Transparency

Articles 1 - 2 of 2

Full-Text Articles in Administrative Law

Due Process In International Antitrust Enforcement: An Idea Whose Time Has Come, Christopher S. Yoo Sep 2019

Due Process In International Antitrust Enforcement: An Idea Whose Time Has Come, Christopher S. Yoo

All Faculty Scholarship

The past year has witnessed an upsurge of international interest in due process in antitrust enforcement, reflected in two new comparative studies and International Competition Network’s (ICN’s) May 2019 adoption of its Recommended Practices for Investigative Process and Framework for Competition Agency Procedures and the Organization for Economic Cooperation and Development (OECD) Competition Committee’s discussion of the Draft Recommendation on Transparency and Procedural Fairness in Competition Law Enforcement in June 2019. This article reviews those developments, traces key differences among them, and looks ahead to what comes next.


Transparency And Algorithmic Governance, Cary Coglianese, David Lehr Jan 2019

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …