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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

AINTNO: Demonstration of Information Accountability on the Web

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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. People Want to Share. - PowerPoint PPT Presentation

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Page 1: AINTNO: Demonstration of Information Accountability  on the Web

AINTNO: Demonstration ofInformation Accountability on

the Web

Joe Pato, HP Labs & MIT CSAILSharon Paradesi, Ian Jacobi, Fuming Shih and

Sam WangMIT CSAIL

Page 2: AINTNO: Demonstration of Information Accountability  on the Web

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The Siren Song

• Social networking is about sharing– Source of social capital– Creates bonds of belonging

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People Want to Share

• Sharing– Within an intended community – For a given purpose

• But leads to loss of control– Information Wants to be Free

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The Rocky Shore

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Conventional Privacy Protection Techniques

• Limit disclosure• Apply access controls• Anonymize or deidentify content

• Privacy is complex

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Information Accountability

• Accountability focuses on – misuse and harm– redress

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Abstract Accountable Systems

• Clearly expressed policy and intent• Transparency and automatic detection of

misuse• Redress10/7/2011

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Abstract Accountable Systems

• Clearly expressed policy and intent• Transparency and automatic detection of

misuse• Redress

Policy is difficult to know and expressOmniscience is “difficult” to achieve as is determination of intentSuitable Public Policy can be messy and take long to achieve

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Simplified Accountable Systems

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“Omniscient” Accountability Advocate

AggrievedData Subject

Social Network DataData Consumer

Usage Restrictions

DataConsumption

JustificationsIncidentInvestigation

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Implementation Architecture

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Data Gathering Engine

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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?

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Challenges for Information Accountability

• User Responsibility– Can a user shelter from consequences?

“#NotIntendedToBeAFactualStatement”

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Challenges for Information Accountability

• Data Ownership & Provenance– Third-party ownership– Tracking correctness and attribution

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Challenges for Information Accountability

• Context– Incorrect inference due to incomplete knowledge– How to integrate with provenance model

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Conclusion

Information Accountability aims to encourage responsible use of information by:

combining clearly expressed usage policieswith systems for detecting misuse, and offering the social tools to provide redress.

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Questions?

• For additional information: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.pdfhttp://dig.csail.mit.edu/2011/Papers/PASSAT_AINTNO/AINTNO-passat-talk.pptx

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