Recognition Markets and Visual Privacy

Recognition Markets and Visual Privacy Ryan Shaw UnBlinking Symposium UC Berkeley School of Information November 4, 2006

Photo by Chance Heath, http://flickr.com/photos/83664946@N00/132100361/

From the “420 Photo Album” at the CU-Boulder Police Department website

Some definitions
Recognition
The linking of images to the people, places, things or concept which they depict
Recognition markets
Socio-technical systems which use “human-in-the-loop” approaches to solve image recognition problems, often modeled as economic systems in which recognition services are exchanged for some capital

Recognition markets and visual privacy
High-level overview of recognition systems
“ Socio-technical turn” in recognition system design
Possible applications and implications for visual privacy
Guidelines for ethical design & implementation

Signal-based recognition systems
Images are collected and analyzed as collections of signal features
These features are used to build a statistical model of the thing to be recognized
A new image is provided to the model as input
The model provides an answer as to whether the new image depicts that thing

excerpt from LSCOM Lexicon Definitions and Annotations Version 1.0

Peer production requirements (Benkler)
Modularity for asynchronous collaboration
Granularity for lightweight contributions
Tools and processes for quality control
Yochai Benkler, “Coase's Penguin,” Yale Law Journal , 2002

Google image labeler

Forms of semiotic labor (Warner)
Syntactic labor
Formal logic, keyword indexing, automated feature extraction
Semantic labor
High-level description, summarization, synthesis, creation of classification structures
Julian Warner, “Forms of labour in information systems,” Information Research , 2002

http://www.mturk.com/ http://mycroftnetwork.com/

http://www.thesheepmarket.com/

Massive Multi-player Border Watch
“ I look at this as no different than the neighborhood watches that we've had in our communities for years and years.”
Texas Governor Rick Perry
“ We have to make sure these things are secure and that they can handle the tremendous amount of hits we know we'll have through the servers. You're going to get millions of people on it.”
Perry campaign spokesman
“ Eyes of Texas to be on border,” Houston Chronicle , June 2, 2006

Ethical design and implementation
Enforcing contextually appropriate use of metadata
Tracking provenance to combat recognition spam
Understanding the limits of technological protections
Defining the responsibilities of image aggregators
Educating participants in recognition markets

Limits of technological protections Alexander & Smith, “Engineering Privacy in Public: Confounding Face Recognition,” PET 2003

Ethical design and implementation
Enforcing contextually appropriate use of metadata
Tracking provenance to combat recognition spam
Understanding the limits of technological protections
Defining the responsibilities of image aggregators
Educating participants in recognition markets

“ We’ll have the capability, and it will be up to society to determine how we use it. Society will determine that, not scientists.” Rick Rashid, Senior VP, Microsoft Research “ Computing, 2016: What Won’t Be Possible?” New York Times , October 31, 2006

Thank you Ryan Shaw UC Berkeley School of Information [email_address] http://aeshin.org/

Recognition Markets and Visual Privacy

by rybesh on Dec 19, 2006

Accessibility

Categories

Tags

Upload Details

Usage Rights

1 Embed 1

Statistics

Recognition Markets and Visual Privacy — Presentation Transcript