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SSI Meetup – interpersonal data, identity and collective minds

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Grappling with identity will never be easy — those who consider it “solvable” represent a danger to society. The identity community is entangled in code (the technologically possible), law (the legally available), and norms (the socially acceptable). There is no separation of these societal concerns. No reductionism. Life is complex and will remain so.

And yet such understanding provides, I think, the perfect foundation to create something wonderful together.

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SSI Meetup – interpersonal data, identity and collective minds

  1. 1. Interpersonal data, identity, and relationships — in pursuit of collective minds Philip Sheldrake engineer, web science philipsheldrake.com @sheldrake AKASHA Foundation AKASHA.org !1ssimeetup.org · 1 April 2019 · CC BY-SA 4.0 International (see image credits)
  2. 2. SSIMeetup.org SSIMeetup objectives 1. Empower global SSI communities 2. Open to everyone interested in SSI 3. All content is shared with CC BY SA Alex Preukschat @SSIMeetup @AlexPreukschat Coordinating Node SSIMeetup.org https://creativecommons.org/licenses/by-sa/4.0/
  3. 3. Coming up … The AKASHA Foundation Co-operative + self-organizing (Inter)personal data Identity Beware Collective minds !3
  4. 4. AKASHA A non-profit foundation born at the intersection of blockchain and collective intelligence. We nurture projects helping individuals unlock their potential through open systems that expand our collective minds at local, regional and global scales. See AKASHA.org. !4
  5. 5. Co-operation + self-organizing !5
  6. 6. !6 Life did not take over the globe by combat, but by networking. Lynn Margulis, biologist
  7. 7. The ultimate information technology challenge is the care and maintenance of a digital infrastructure that can help us rise up to so-called super wicked problems, collectively. Sustainability requires healthy, distributed networks, with both diversity and individual agency, to facilitate the emergence of collective intelligence. !7 Sheldrake, Global Peter Drucker Forum
  8. 8. Life organizes around identity. Every living thing acts to develop and preserve itself. Identity is the filter that every organism or system uses to make sense of the world. New information, new relationships, changing environments — all are interpreted through a sense of self. !8
  9. 9. The 6 circle model !9 Traditionally, organizing / system change has been attempted with a focus “above the green line”. Research has shown however that change can only be initiated and sustained when equal attention is paid above and below the line. See Leadership and the New Science, Margaret J. Wheatley. INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative) STRUCTURE (forms) PATTERN (strategies) PROCESS (operations) HUMANEXPERIENCE
  10. 10. !10 The 3 conditions INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative) THE SENSE-MAKING CAPACITY OF THE ORGANIZING Of the selves that organize and the “self” that gets organized. Defined in terms of history, present decisions and activities, and sense for the future. THE MEDIUM OF THE ORGANIZING Life uses information to organize itself, i.e. when a system assigns meaning to data.THE PATHWAYS OF ORGANIZING Required for the creation and transformation of information, the expansion of the organizational identity, and accumulation of wisdom.
  11. 11. !11 The 3 conditions — reciprocally defining INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative) Identities assemble from who we know (relationships) and what we do (personally and socially material information). Information is contextual to individuals in relationships. Relationships are formed with information exchange between identifying individuals in identifying organizings.
  12. 12. I am not a thing — a noun. I seem to be a verb, an evolutionary process – an integral function of the universe. Buckminster Fuller !12 “ ”
  13. 13. !13 It is necessary to begin with the event as a basic concept, and later to arrive at the object as a continuing structure of related and ordered events. David Bohm “ ”
  14. 14. (Inter)personal data !14
  15. 15. !15 data-as-property
  16. 16. !16 “ ” There might well be a market for personal data, just like there is, tragically, a market for live human organs, but that does not mean that we can or should give that market the blessing of legislation. One cannot monetise and subject a fundamental right to a simple commercial transaction, even if it is the individual concerned by the data who is a party to the transaction. The European Data Protection Supervisor, 2017
  17. 17. !17 my data data about me over which I have agency, through which I have agency, with which we become.
  18. 18. !18 data-as-property data-as-labor data-as-reputation data-as-public-good data-as-me data-as-data https://medium.com/radicalxchange/the-interpersonal-data-at-the-heart-of-all-human-digital-systems-including-markets-6316701184a9
  19. 19. Personal data Any information relating to an identified or identifiable natural person – one who can be identified, directly or indirectly, by reference to a name, an identification number, location data, or other identifier, or to factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that person. General Data Protection Regulation !19
  20. 20. !20 And yet we’re social animals. Unsurprisingly, the vast majority of personal data is in fact interpersonal data. Alice, Coffee Store Street Espresso, Store Street Monday, 1 Apr 2019 from 17:30 to 18:00 Bob, Coffee Store Street Espresso, Store Street Monday, 1 Apr 2019 from 17:30 to 18:00
  21. 21. !21 PERSONAL DATA INTERPERSONAL DATA legal natural data subjects humans + node-centric edge-centric control agency tree-like rhizomatic facsimile cache privacy privacy + collective intelligence
  22. 22. !22
  23. 23. Identity !23
  24. 24. Descartes didn't say ‘I have a birth certificate, therefore, I am.’ Phil Windley
  25. 25. !25 IDENTIFYING IS … ACQUIRING CORRELATING REASONING APPLYING SECURINGJoe Andrieu
  26. 26. !26 NOUN-LIKE RIGIDITY BASED ON ESSENTIAL PROPERTIES THAT DON’T CHANGE VERB-LIKE CONTEXTUAL CORRELATING RE-IDENTIFYING WITH A CERTAIN PROPERTY — DIACHRONICITY trait E.G. FINGERPRINT, IRIS, FACE, DNA government BIRTH CERTIFICATE, CITIZEN ID, PASSPORT, ETC. username + profile CORROBORATED WITH A PASSWORD E.G. FACEBOOK ID private key DIGITAL ‘FINGERPRINT’ BUT HARDER TO COPY AND EASIER TO LOSE physicality CONTAINED BY ONE'S SKIN social YOU’RE NOBODY UNTIL YOU’RE SOMEBODY TO SOMEONE behavioural YOU ARE WHAT YOU DO transcendental THE ERASURE OF EMBODIMENT cartesian PERSISTENT SENSE OF SELFHOOD; COGITO ERGO SUM; NARRATIVE CONTROLLING? ENABLING?
  27. 27. !27 EVERYONE WORKING ON “DIGITAL IDENTITY” IS A SOCIOTECHNOLOGIST SOCIO TECHNICAL
  28. 28. Beware !28
  29. 29. !29 BEWARE: THE OPTIONAL BECOMING THE COMPULSORY
  30. 30. !30 BEWARE: INCLUDING IS ALSO EXCLUDING claudo From Proto-Italic *klaudō, from Proto-Indo- European *kleh₂u- (“key, hook, nail”). Cognate with Ancient Greek κλείς (kleís, “bar, bolt, key”), Old High German sliozan (“to close, conclude, lock”).
  31. 31. !31 BEWARE: THE CLEAR, SIMPLE, AND WRONG to be fair, one of these is from Bojan :-)
  32. 32. !32 BEWARE: SELF-INTEREST BEATS SYSTEM-INTEREST “Moving reputation from one system to another helps me.” Enabling universal reputation scoring is dystopian.
  33. 33. !33 BEWARE: WE’RE DESIGNING PATH DEPENDENCIES
  34. 34. !34 BEWARE: THE FRICTIONLESS Friction is an important system property. Failure to re-engineer appropriate frictions in our sociotechnical system may lead to very poor social outcomes. Likely requires a blend of legal and technical codes.
  35. 35. !35
  36. 36. !36 NOUN-LIKE RIGIDITY BASED ON ESSENTIAL PROPERTIES THAT CANNOT CHANGE CONTROLLING? trait E.G. FINGERPRINT, IRIS, FACE, DNA government BIRTH CERTIFICATE, CITIZEN ID, PASSPORT, ETC. username + profile CORROBORATED WITH A PASSWORD E.G. FACEBOOK ID private key DIGITAL ‘FINGERPRINT’ BUT HARDER TO COPY AND EASIER TO LOSE physicality CONTAINED BY ONE'S SKIN IF WE GET THIS WRONG
  37. 37. Collective minds !37
  38. 38. !38 A mind is not a name for a thing, a substance, but rather a collection of cognitive processes, dispositional states, meaning-making, and behavioural characteristics. It is not easily delimited and definitely not in terms of “what’s in your head”. AKASHA about us webpage
  39. 39. !39 Gregory Bateson has clearly shown that what he calls the ‘ecology of ideas’ cannot be contained within the domain of the psychology of the individual, but organizes itself into systems or ‘minds’, the boundaries of which no longer coincide with the participant individuals. Felix Guattari “ ”
  40. 40. We’re focused on collective minds to enhance human agency in co-operation to help produce a fairer, more peaceful, more intelligent, sustainable and regenerative future. !40 INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative)
  41. 41. Next … (call to action) !41
  42. 42. !42 DECENTRALIZED DATA TRUST INTERPERSONAL DATA TECHNICAL ARCHITECTURE
  43. 43. Interpersonal data architecture • The data surrounds us • Nesting and interpenetrating • Privacy-preserving and socially meaningful • Neither individualistic nor collectivized • Distributed and disintermediating • ‘Intelligence’ is invited to the data rather than requiring the data go to the ‘intelligence’ • About mutual value creation not property rights • Markets don’t transform personal data so much as interpersonal data transform markets • Identity will be contextual, local, verb-like, and digitally co-emergent with interpersonal data !43
  44. 44. Decentralized data trust The Open Data Institute defines a data trust as “a legal structure that provides independent stewardship of data.” A decentralized data trust entails a decentralized trust structure governing for fairness in the social context the facilities for decentralized, social sense- making of interpersonal data. !44
  45. 45. !45 Thank you. We chat here: • https://discordapp.com/invite/JqqKasJ We blog here: • https://akasha.org/blog Slides available at: • https://ssimeetup.org • https://akasha.org/blog/2019/04/01/ ssimeetup-webinar ssimeetup.org · 1 April 2019 · CC BY-SA 4.0 International (see image credits)
  46. 46. Image credits Painted face, by Sharon McCutcheon Colourful corridor, copyright Shutterstock Lichen, by Annie Spratt The Earth, by NASA Photo of Time Magazine cover of Buckminster Fuller, by Hilary Mason Sunflower dance, ink drawing on paper, by Jos van Wunnik Water, by Imleedh Ali Woman on bus, by Dan Bøțan Coffee, by Joshua Ness boypoolrhizome, slide 21, copyright Mark Ingham, reproduced with permission René Descartes, via Picryl Stream, via Free Nature Stock Intermingling colours, by Daniel Olah Car tire, by pngimg Wavering curves, by David Jorre One of several wolves, slide 38, copyright Marc Ngui, reproduced with permission Coral, by Sagar Amazon product co-purchasing network, slide 43, copyright Dr. Christophe Hurter, reproduced with permission !46

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