AINTNO: Demonstration of Information Accountability on the Web Joe Pato, HP Labs & MIT CSAIL Sharon Paradesi, Ian Jacobi, Fuming Shih and Sam Wang MIT CSAIL
The Siren Song Social networking is about sharing Source of social capital Creates bonds of belonging 10/7/2011 PASSAT 2011
People Want to Share Sharing But leads to loss of control Within an intended community For a given purpose But leads to loss of control Information Wants to be Free 10/7/2011 PASSAT 2011
The Rocky Shore 10/7/2011 PASSAT 2011
Conventional Privacy Protection Techniques Limit disclosure Apply access controls Anonymize or deidentify content Privacy is complex 10/7/2011 PASSAT 2011
Information Accountability Accountability focuses on misuse and harm redress 10/7/2011 PASSAT 2011
Abstract Accountable Systems Clearly expressed policy and intent Transparency and automatic detection of misuse Redress 10/7/2011 PASSAT 2011
Abstract Accountable Systems Clearly expressed policy and intent Transparency and automatic detection of misuse Redress Policy is difficult to know and express Omniscience is “difficult” to achieve as is determination of intent Suitable Public Policy can be messy and take long to achieve 10/7/2011 PASSAT 2011
Simplified Accountable Systems “Omniscient” Accountability Advocate Incident Investigation Justifications Data Consumer Aggrieved Data Subject Social Network Data Usage Restrictions Data Consumption 10/7/2011 PASSAT 2011
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Implementation Architecture 10/7/2011 PASSAT 2011
Data Gathering Engine 10/7/2011 PASSAT 2011
Challenges for Information Accountability Incentives When does a data subject open access? Why does a data consumer supply justifications? Who serves as an Accountability Advocate? 10/7/2011 PASSAT 2011
Challenges for Information Accountability User Responsibility Can a user shelter from consequences? “#NotIntendedToBeAFactualStatement” 10/7/2011 PASSAT 2011
Challenges for Information Accountability Data Ownership & Provenance Third-party ownership Tracking correctness and attribution 10/7/2011 PASSAT 2011
Challenges for Information Accountability Context Incorrect inference due to incomplete knowledge How to integrate with provenance model 10/7/2011 PASSAT 2011
Conclusion Information Accountability aims to encourage responsible use of information by: combining clearly expressed usage policies with systems for detecting misuse, and offering the social tools to provide redress. 10/7/2011 PASSAT 2011
Questions? For additional information: Run the demo: These slides: joe.pato <at> hp.com Run the demo: http://dice.csail.mit.edu/aintno/ui/ These slides: http://dig.csail.mit.edu/2011/Papers/PASSAT_AINTNO/AINTNO-passat-talk.pdf http://dig.csail.mit.edu/2011/Papers/PASSAT_AINTNO/AINTNO-passat-talk.pptx 10/7/2011 PASSAT 2011
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