Law Commons^™

Data Privacy In The Time Of Plague, Cason Schmit, Brian N. Larson, Hye-Chung Kum

Faculty Scholarship

Data privacy is a life-or-death matter for public health. Beginning in late fall 2019, two series of events unfolded, one everyone talked about and one hardly anyone noticed: The greatest world-health crisis in at least 100 years, the COVID-19 pandemic; and the development of the Personal Data Protection Act Committee by the Uniform Law Commissioners (ULC) in the United States. By July 2021, each of these stories had reached a turning point. In the developed, Western world, most people who wanted to receive the vaccine against COVID- 19 could do so. Meanwhile, the ULC adopted the Uniform Personal Data Protection …

Race And Regulation Podcast Episode 5 - Racial Equity And Data Privacy, Anita L. Allen

Penn Program on Regulation Podcasts

In this episode, Anita Allen, an internationally renowned expert on the philosophical dimensions of privacy and data protection law, reveals how race-neutral privacy laws in the U.S. have failed to address the unequal burdens faced online by Black Americans, whose personal data are used in racially discriminatory ways. Professor Allen articulates what she terms an African American Online Equity Agenda to guide the development of race-conscious privacy regulations that can better promote racial justice in the modern digital economy.

Dismantling The “Black Opticon”: Privacy, Race Equity, And Online Data-Protection Reform, Anita L. Allen

All Faculty Scholarship

African Americans online face three distinguishable but related categories of vulnerability to bias and discrimination that I dub the “Black Opticon”: discriminatory oversurveillance, discriminatory exclusion, and discriminatory predation. Escaping the Black Opticon is unlikely without acknowledgement of privacy’s unequal distribution and privacy law’s outmoded and unduly race-neutral façade. African Americans could benefit from race-conscious efforts to shape a more equitable digital public sphere through improved laws and legal institutions. This Essay critically elaborates the Black Opticon triad and considers whether the Virginia Consumer Data Protection Act (2021), the federal Data Protection Act (2021), and new resources for the Federal Trade …

The Surprising Virtues Of Data Loyalty, Woodrow Hartzog, Neil M. Richards

Faculty Scholarship

Lawmakers in the United States and Europe are seriously considering imposing duties of data loyalty that implement ideas from privacy law scholarship, but critics claim such duties are unnecessary, unworkable, overly individualistic, and indeterminately vague. This paper takes those criticisms seriously, and its analysis of them reveals that duties of data loyalty have surprising virtues. Loyalty, it turns out, can support collective well-being by embracing privacy’s relational turn; it can be a powerful state of mind for reenergizing privacy reform; it prioritizes human values rather than potentially empty formalism; and it offers solutions that are flexible and clear rather than …

Legislating Data Loyalty, Woodrow Hartzog, Neil Richards

Faculty Scholarship

Lawmakers looking to embolden privacy law have begun to consider imposing duties of loyalty on organizations trusted with people’s data and online experiences. The idea behind loyalty is simple: organizations should not process data or design technologies that conflict with the best interests of trusting parties. But the logistics and implementation of data loyalty need to be developed if the concept is going to be capable of moving privacy law beyond its “notice and consent” roots to confront people’s vulnerabilities in their relationship with powerful data collectors.

In this short Essay, we propose a model for legislating data loyalty. Our …

Data Privacy, Human Rights, And Algorithmic Opacity, Sylvia Lu

Fellow, Adjunct, Lecturer, and Research Scholar Works

Decades ago, it was difficult to imagine a reality in which artificial intelligence (AI) could penetrate every corner of our lives to monitor our innermost selves for commercial interests. Within just a few decades, the private sector has seen a wild proliferation of AI systems, many of which are more powerful and penetrating than anticipated. In many cases, AI systems have become “the power behind the throne,” tracking user activities and making fateful decisions through predictive analysis of personal information. Despite the growing power of AI, proprietary algorithmic systems can be technically complex, legally claimed as trade secrets, and managerially …