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Telegraph, Telephone And The Internet: The Making Of The Symbiotic Model Of Surveillance States, Dongsheng Zang Apr 2023

Telegraph, Telephone And The Internet: The Making Of The Symbiotic Model Of Surveillance States, Dongsheng Zang

Articles

In the early 2000s, shortly before the September 11 attacks, Daniel J. Solove noted that computer databases in the United States were controlled by public as well as private bureaucracies. In that sense, Solove argued, the "Big Brother" metaphor "fails to capture the most important dimension of the database problem." In his 2008 Lockhart lecture, constitutional law scholar Jack M. Balkin argued that the United States has gradually transformed from a welfare and national security state to a National Surveillance State: "a new form of governance that features the collection, collation, and analysis of information about populations both in the …


Terrified By Technology: How Systemic Bias Distorts U.S. Legal And Regulatory Responses To Emerging Technology, Steve Calandrillo, Nolan Kobuke Anderson Jan 2022

Terrified By Technology: How Systemic Bias Distorts U.S. Legal And Regulatory Responses To Emerging Technology, Steve Calandrillo, Nolan Kobuke Anderson

Articles

Americans are becoming increasingly aware of the systemic biases we possess and how those biases preclude us from collectively living out the true meaning of our national creed. But to fully understand systemic bias we must acknowledge that it is pervasive and extends beyond the contexts of race, privilege, and economic status. Understanding all forms of systemic bias helps us to better understand ourselves and our shortcomings. At first glance, a human bias against emerging technology caused by systemic risk misperception might seem uninteresting or unimportant. But this Article demonstrates how the presence of systemic bias anywhere, even in an …


The Right To Benefit From Big Data As A Public Resource, Mary D. Fan Jan 2021

The Right To Benefit From Big Data As A Public Resource, Mary D. Fan

Articles

The information that we reveal from interactions online and with electronic devices has massive value—for both private profit and public benefit, such as improving health, safety, and even commute times. Who owns the lucrative big data that we generate through the everyday necessity of interacting with technology? Calls for legal regulation regarding how companies use our data have spurred laws and proposals framed by the predominant lens of individual privacy and the right to control and delete data about oneself. By focusing on individual control over droplets of personal data, the major consumer privacy regimes overlook the important question of …


Professionally Responsible Artificial Intelligence, Michael Hatfield Jan 2019

Professionally Responsible Artificial Intelligence, Michael Hatfield

Articles

As artificial intelligence (AI) developers produce more applications for professional use, how will we determine when the use is professionally responsible? One way to answer the question is to determine whether the AI augments the professional’s intelligence or whether it is used as a substitute for it. To augment the professional’s intelligence would be to make it greater, that is, to increase and improve the professional’s expertise. But a professional who substitutes artificial intelligence for his or her own puts both the professional role and the client at risk. The problem is developing guidance that encourages professionals to use AI …


Artificial Intelligence Policy: A Primer And Roadmap, Ryan Calo Jan 2017

Artificial Intelligence Policy: A Primer And Roadmap, Ryan Calo

Articles

Talk of artificial intelligence is everywhere. People marvel at the capacity of machines to translate any language and master any game. Others condemn the use of secret algorithms to sentence criminal defendants or recoil at the prospect of machines gunning for blue, pink, and white-collar jobs. Some worry aloud that artificial intelligence will be humankind’s “final invention.” This essay, prepared in connection with UC Davis Law Review's 50th anniversary symposium, explains why AI is suddenly on everyone's mind and provides a roadmap to the major policy questions AI raises. The essay is designed to help policymakers, investors, technologists, scholars, and …


Privacy, Vulnerability, And Affordance, Ryan Calo Jan 2017

Privacy, Vulnerability, And Affordance, Ryan Calo

Articles

This essay begins to unpack the complex, sometimes contradictory relationship between privacy and vulnerability. I begin by exploring how the law conceives of vulnerability — essentially, as a binary status meriting special consideration where present. Recent literature recognizes vulnerability not as a status but as a state — a dynamic and manipulable condition that everyone experiences to different degrees and at different times. I then discuss various ways in which vulnerability and privacy intersect. I introduce an analytic distinction between vulnerability rendering, i.e., making a person more vulnerable, and the exploitation of vulnerability whether manufactured or native. I also describe …


Push, Pull, And Spill: A Transdisciplinary Case Study In Municipal Open Government, Jan Whittington, Ryan Calo, Mike Simon, Jesse Woo, Meg Young, Perter Schmiedeskamp Jan 2015

Push, Pull, And Spill: A Transdisciplinary Case Study In Municipal Open Government, Jan Whittington, Ryan Calo, Mike Simon, Jesse Woo, Meg Young, Perter Schmiedeskamp

Articles

Municipal open data raises hopes and concerns. The activities of cities produce a wide array of data, data that is vastly enriched by ubiquitous computing. Municipal data is opened as it is pushed to, pulled by, and spilled to the public through online portals, requests for public records, and releases by cities and their vendors, contractors, and partners. By opening data, cities hope to raise public trust and prompt innovation. Municipal data, however, is often about the people who live, work, and travel in the city. By opening data, cities raise concern for privacy and social justice.

This article presents …