BUTLER IoT - Luxemburg presentation 8 9-12

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Presentation for BUTLER project focusing on ethical issues related to Trust and the Internet of Things (IoT)

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  • Introduction of people involved in this presentation:Jeroen – leader of Ethics subgroupFrancien – researcher, related project: ethical and societal aspects of reconfigurable sensor technologyJob – researcher, related project: emerging technologies (ETICA), refer to Monday’s presentation
  • This quote illustrates the enormous impact IoT may have on the possibilities for information gathering.For the good and for the bad (dual use). This raises issues of privacy, trust, autonomy etc which need to be anticipated in the rollout and development of the technology.
  • We should take the opportunity to involve ethical and societal aspects in the design of new technology.
  • BUTLER IoT - Luxemburg presentation 8 9-12

    1. 1. IOT/ETHICSBUTLER PROJECTLUXEMBOURG, 10TH SEPT 2012
    2. 2. PEOPLEJob Timmermans, Researcher (ETICA project)
    3. 3. AGENDACAN WE TRUST OUR BUTLER? • ISSUES & CHALLENGES • VALUE SENSITIVE DESIGN • TRUST • CALL FOR PAPERS
    4. 4. CIA CHIEF PETRAEUS“We’ll Spy on You Through Your Dishwasher”Wired, March 15, 2012
    5. 5. AN ETHICS OF IOT?Party StopperorUnique Selling Point?IOT raises ethics challenges and opportunitiesrelated toautonomy, security, equity, equality,justice, access, discrimination,data profiling, confidentiality, ….
    6. 6. ISSUES 1/3Privacy & SecurityBlurring of contexts: private vs. publicInformed Consent vs. Obfuscation of FunctionalityConfidence vs. TrustAgency: social contract between people and objects?Non-neutrality of IoT Metaphores
    7. 7. ISSUES 2/3Responsibility & Precautionary PrincipleResponsible Innovation & Setting new standardsSocial justice & Digital divideSupport solving existing problemsAdaptation to mediated environment
    8. 8. ISSUES 3/3New organizational principles and institutional designNew ontologyFair distribution costs and benefitsPublic acceptance of innovative technologyTechnology lock-in
    9. 9. KEY PROBLEM 21ST CENTURY: VALUE SENSITIVE DESIGN Computers OiltankersResponsibility AirplanesPrivacy ReactorsAccountability Express RoadsAgency Implement InternetAutonomy ElectricitySustainability GridsSafety Artefacts HospitalsSecurity Values Architectures Norms Materials Standards Laws Security Ideals Systems Principles Justify Infrastructure Audit
    10. 10. VALUE SENSITIVEDESIGN1. Conceptual investigations2. (Empirical investigations)3. Technical investigations
    11. 11. TRUST = IMPORTANTIoT = disruptive • Public / private blurred • Unknown territory • Feeling safe / secure • Privacy requires TrustTrust User acceptation / adaptation Successful technologyExamples • Dutch Smart Metering roll out • Dutch Electronic Patient Record System
    12. 12. Smart mobile platform Smart server Unifyingplatform BUTLER Architecture Secure, private, trustworthy context capture Smart OSGi Zigbee DPWS FreeRTOS TinyOS Contiki object/gateway CoAP platform RPL 6LowPAN IEEE 802.15.4
    13. 13. IOT + TRUST =DIFFERENTReal-life ImpactMany UnknownsDefining features: • Distributed / heterarchical structures • Non deterministic / Smart behavior • Dynamic configuration • Obfuscation • Heterogeneity
    14. 14. TRUST = VAGUEComplex notionDifferent meanings in Different disciplinesConceptual muddleDifficult to measure (no metrics/ methodologies)
    15. 15. DEFINITION OF TRUSTAccepted vulnerability to anothers possible but not expected ill will (Friedman, Baier)
    16. 16. WHAT TO TRUST?Others (E-Trust)Institutions (Proper governance)Systems (Technology Dependence)
    17. 17. TRUST VSCONFICENCEDe-perimeterisation (De-p): • Passive  Active insulation of data • Danger (nature)  Risk (manmade) • Confidence(no alt’s)  Trust (with alt’s) (Pieters, 2011)
    18. 18. TRUST VSRELIABILITYRELIABILITY • Thing – Person interaction • Interactively staticTRUST • Person – Person interaction • Interactively dynamicReal People vs. ‘Internet’ People (Pettit, 2008)
    19. 19. TRUST: CRUCIALREQUIREMENT =CLUES•Evidence of Face•Evidence of Frame•Evidence of File (Pettit, 2008)
    20. 20. REPUTATION SYSTEMSExamples • Amazon • Google • SlashdotPresent Alternatives + Active systemSources of Evidence • Face : online identity • Frame: Score by others • File : Aggregated reputation Decentralized / distributed reputation system
    21. 21. QUESTIONS?
    22. 22. CALL FOR PAPERSSpecial Issue of Ethics and Information Technology (ETIN)on the Internet of Things (IoT)

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