Title:
The Implications of Privacy-Aware Choice

dc.contributor.author Cummings, Rachel
dc.contributor.corporatename Georgia Institute of Technology. Institute for Information Security & Privacy en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Industrial and Systems Engineering en_US
dc.date.accessioned 2018-11-02T14:56:55Z
dc.date.available 2018-11-02T14:56:55Z
dc.date.issued 2018-10-19
dc.description Presented on October 19, 2018 at 12:00 p.m. in the Krone Engineered Biosystems Building, Room 1005. en_US
dc.description Dr. Rachel Cummings is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and information theory. en_US
dc.description Runtime: 67:36 minutes en_US
dc.description.abstract Privacy concerns are becoming a major obstacle to using data in the way that we want. It's often unclear how current regulations should translate into technology, and the changing legal landscape surrounding privacy can cause valuable data to go unused. In addition, when people know that their current choices may have future consequences, they might modify their behavior to ensure that their data reveal less --- or perhaps, more favorable --- information about themselves. Given these concerns, how can we continue to make use of potentially sensitive data, while providing satisfactory privacy guarantees to the people whose data we are using? Answering this question requires an understanding of how people reason about their privacy and how privacy concerns affect behavior. In this talk, we will see how strategic and human aspects of privacy interact with existing tools for data collection and analysis. I will begin by adapting the standard model of consumer choice theory to a setting where consumers are aware of and have preferences over, the information revealed by their choices. In this model of privacy-aware choice, I will show that little can be inferred about an individual's preferences once we introduce the possibility that she has concerns about privacy, even when her preferences are assumed to satisfy relatively strong structural properties. Next, I will analyze how privacy technologies affect behavior in a simple economic model of data-driven decision making. Intuition suggests that strengthening privacy protections will both increase utility for the individuals providing data and decrease the usefulness of the computation. I will demonstrate that this intuition can fail when strategic concerns affect consumer behavior. Finally, I'll discuss ongoing behavioral experiments, designed to empirically measure how people trade off privacy for money and to test whether human behavior is consistent with theoretical models for the value of privacy. (based on joint works with Federico Echenique, Ori Heffetz, Katrina Ligett, Mallesh Pai, Aaron Roth, Adam Wierman. Papers available online: https://arxiv.org/abs/1401.0336 and https://arxiv.org/abs/1508.03080) en_US
dc.format.extent 67:36 minutes
dc.identifier.uri http://hdl.handle.net/1853/60513
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries Cybersecurity Lecture Series
dc.subject Data en_US
dc.subject Legal en_US
dc.subject Privacy en_US
dc.title The Implications of Privacy-Aware Choice en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename School of Cybersecurity and Privacy
local.contributor.corporatename College of Computing
local.relation.ispartofseries Institute for Information Security & Privacy Cybersecurity Lecture Series
relation.isOrgUnitOfPublication f6d1765b-8d68-42f4-97a7-fe5e2e2aefdf
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 2b4a3c7a-f972-4a82-aeaa-818747ae18a7
Files
Original bundle
Now showing 1 - 4 of 4
No Thumbnail Available
Name:
cummings.mp4
Size:
542.87 MB
Format:
MP4 Video file
Description:
Download video
No Thumbnail Available
Name:
cummings_videostream.html
Size:
1.01 KB
Format:
Hypertext Markup Language
Description:
Streaming video
No Thumbnail Available
Name:
transcription.txt
Size:
52.98 KB
Format:
Plain Text
Description:
Transcription
Thumbnail Image
Name:
thumbnail.jpg
Size:
58.83 KB
Format:
Joint Photographic Experts Group/JPEG File Interchange Format (JFIF)
Description:
Thumbnail
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.13 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections