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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	
  
More	
  funding	
  

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Privacy 2020 (Participants) EINS summer school

  • 3. 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    
  • 4. 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    
  • 5. 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  
  • 6. 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  
  • 7. 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    
  • 8. 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  
  • 9. 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  
  • 10. 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    
  • 11. 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…)  
  • 12. 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?  
  • 13. 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