Privacy 2020 (Participants) EINS summer school

Privacy for 2020

•  h"p://www.youtube.com/watch? v=2HHEQuspi4o

Ubiquitous/Pervasive CompuAng •  Smartphone –  5G – high bandwidth (operator speciﬁc) –  Individuals ‘personal hub’ •  Technology is everywhere, always on –  Live vs. stored informaAon –  Perpetual persistence •  Advanced data mining/inferencing/predicAve capabiliAes •  Every person, mulAple devices, services

Data Environment •  Data types –  Network specific –  ApplicaAon/service specific •  Same data useful in a number different contexts (environmental) –  CollecAon (may be) context free •  Direct connecAons – not just cloud •  ‘Live data’ •  Lots of data, lots of sources/sinks => LOTS OF POSSIBLE (MIS)USES –  Governance becomes more complex in 2020

Stakeholders •  Everyone/thing involved – many perspecAves, many players, many moAvaAons, many objecAves –  All can (potenAally) collect, process, consume –  Diﬀerent to standard: govt, company, user… •  (Appropriate) InteracAons depend on context –  Today – central (cloud?) services •  Historical request-‐based –  Push-‐based informaAon & ad-‐hoc connecAons •  MediaAon/enforcement

Paradigm Shic (?) •  Data closer to the users –  DecentralisaAon •  Individuals (more) in charge –  Data release, coordinaAon •  Individuals do more than just ‘use’ •  What does this mean for data privacy? –  Norms: Legal, social, economic, technical –  Healthcare perspecAve

Future healthcare •  Possibility to collect rich data –  Vital signs, environmental, event detecAon (falls) •  Such data is relevant to many applicaAons –  E.g. heart rate data (ECG) •  Diagnosis (database, status updates) •  PaAent-‐feedback (e.g. exercise monitoring) •  Emergency situaAons •  Relevance depends on context

Healthcare scenario •  Bob’s everyday life is highly digital –  Smart home/city –  Smartphone Gaia® is central to his life •  Many applicaAons manage his work, social acAvity, … •  Bob has heart disease •  Smartphone Gaia® collects relevant to his condiAon –  Everyday life, vital signs, ... –  Inferencing capabiliAes (e.g. falls, heart a"acks) •  Data should ﬂow to relevant parAes –  Depends on CONTEXT –  Doctor (individual), Doctor’s Surgery, Insurance Company, Family, Health Service

Technical ConsideraAons •  SpecificaAon of preferences –  Bob only wants his data used in certain ways –  Is this feasible? •  Management of work data is different to his social data •  Health data is specific: exercise, diagnosis, emergency •  Systems should react to context –  Doctor cannot access Bob’s live datastreams, EXCEPT in an emergency •  System design issues –  Can’t pre-‐empt every use/datasource; •  Bob’s home might differ to his neighbours –  But there are standards/models/templates •  Usage templates for heart disease paAents, that can be tweaked

Economic ConsideraAons •  IncenAves for sharing –  Bob ‘trusts’ his doctor, but maybe not his gym •  QuanAfying (valuing) privacy? –  Insurance company valuaAon •  Does Bob give his data for a discounted premium? –  Bob doesn’t care when having a heart a"ack… •  Future markets for privacy protecAon? –  Anonymous medical billing services

Social ConsideraAons •  Awareness –  Newer generaAons more privacy aware •  Different values of different generaAons? •  Assist the elders? Will Bob’s children help him •  More data, more actors, more complexity –  How can Bob cope? •  Future technology has more potenAal to impact privacy –  Benefits for Bob, his family (and society…)

Legal ConsideraAons •  Blurring of data controller and data subjects •  The role of individuals –  Processing can be done by other individuals •  Bob’s wife? Doctor? –  Are they data controllers? –  NoAce, consent? •  ExecuAve overrides –  Access Bob’s data in medical emergency? NaAonal security? •  Power of authoriAes to set privacy standards –  Currently no, but drac proposal to change (DPR) –  How does this aﬀect individuals?

Generally… •  In 2020: ‘exisAng’ concerns, new concerns –  Individuals more involved (no longer just ‘users’) •  Move away from reacAon to tech –  Involving norms in the design process •  R&D eﬀorts –  Disciplinary AND mulAdisciplinary •  Will corporaAons allow decentralisaAon? •  Visibility of privacy issues –  CollecAve consciousness

More funding

http://www.internet-science.eu	440
http://internet-science.eu	13
http://webcache.googleusercontent.com	1

Privacy 2020 (Participants) EINS summer school

by i_scienceEU on Aug 17, 2012

Accessibility

Categories

Upload Details

Usage Rights

3 Embeds 454

Statistics

Privacy 2020 (Participants) EINS summer school Presentation Transcript