Title
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Author
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Year
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A Relational Turn for Data Protection?
Existing data protection rules are mostly procedural, focused on notice and consent. A “relational” privacy model would prohibit some data practices without considering consent.
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Neil Richards, Woodrow Hartzog |
2020 |
Protecting Workers' Civil Rights in the Digital Age
Automated hiring, including automated video interviews, raises concerns about employment discrimination and privacy. Workplace wellness programs and electronic workplace surveillance raise similar concerns.
|
Ifeoma Ajunwa |
2020 |
Journalism and the Voice Intelligence Industry
Artificial intelligence (AI) systems that analyze human voices have important implications for the creation and marketing of news.
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Joseph Turow |
2020 |
The Trouble with Article 25 (and How to Fix It): The Future of Data Protection by Design and Default
Article 25 of Europe’s General Data Protection Regulation (GDPR) suggests that data controllers use privacy enhancing technologies (PETs). Regulators should interpret Article 25 to require the use of engineering techniques to enhance privacy.
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Ira Rubinstein, Nathaniel Good |
2020 |
The Inconsentability of Facial Surveillance
People may be asked to consent to uses of facial recognition technologies, but do not understand the implications of these technologies for their own autonomy or for society as a whole, and cannot give valid consent.
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Evan Selinger, Woodrow Hartzog |
2020 |
Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers’ Privacy Perceptions and Decisions to Disclose Private Information
This study shows that consumers will continue to answer intrusive online survey questions correctly, even after being disturbed by the inclusion of their personal information in an online ad.
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Lior Strahilevitz, Blase Ur, Julia Hanson, Matthew Kugler, Miranda Wei, Sophie Veys |
2020 |
The Paradox of Automation as Anti-Bias Intervention
Automated decision-making systems may facilitate bias. Job seekers lack access to the data and algorithms used by automated hiring systems, hindering plaintiff’s efforts to prove “disparate impact” discrimination under Title VII.
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Ifeoma Ajunwa |
2020 |
Using Data and Respecting Users
Firms should make ethical choices in using data to avoid souring relationships with users. Three basic guidelines reduce risk and help maintain user trust.
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Marshall Van Alstyne, Alisa Lenart |
2020 |
The Portability and Other Required Transfers Impact Assessment (PORT-IA): Assessing Competition, Privacy, Cybersecurity, and Other Considerations
One key legal question is whether data should move from A to B, or be prevented from moving from A to B. Requiring the transfer of data can be harmful in some ways and beneficial in others.
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Peter Swire |
2020 |
Privacy Regulation and Innovation Policy
Some claim that privacy regulation threatens innovation, but regulation is appropriate to correct market failures. Privacy regulation could help align markets and ensure that innovation is consistent with social values.
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Katherine Strandburg, Yafit Lev-Aretz |
2020 |