The Design of Meaning for the Future of Humanity

Transcript

1. twitter: 
 @kateo Kate 
 O’Neill THE DESIGN OF MEANING FOR THE FUTURE OF
 HUMANITY
4. me a famous robot
5. HOW CAN 
 HUMANITY PREPARE 
 FOR AN INCREASINGLY 
 TECH- AND DATA-DRIVEN FUTURE?
6. AUTHOR SPEAKER MEDIA CONTRIBUTOR GLOBAL FOCUS PAST EXPERIENCES CONSULTED FOR
7. WHAT’S BETTER 
 FOR HUMANITY? WHAT’S BETTER 
 FOR BUSINESS? or
8. WHAT DOES IT MEAN TO FACE 
 A TECH-DRIVEN FUTURE?
9. PHYSICAL? 
 OR DIGITAL? OFFLINE? 
 OR ONLINE?
10. THE PHYSICAL WORLD 
 AND DIGITAL WORLD CONNECT 
 THROUGH THE DATA CAPTURED IN THE 
 HUMAN EXPERIENCES.
11. BUSINESS DATA 
 IS LARGELY ABOUT 
 HUMAN EXPERIENCES.
12. ANALYTICS
 are
 PEOPLE.
13. TECHNOLOGY ADVANCES TO FULFILL BUSINESS OBJECTIVES
14. ALIGN BUSINESS OUTCOMES TO HUMAN OUTCOMES so that AS BUSINESS 
 SUCCEEDS, IT BRINGS HUMANITY 
 WITH IT
15. Human 
 Outcomes Business 
 Objectives Technological 
 Capabilities Human-to-human 
 services PURPOSEFUL, 
 MEANINGFUL 
 HUMAN 
 EXPERIENCES 
 AT SCALE Cost cutting 
 measures Humanitarian 
 innovations
16. MAKE TECH BETTER 
 FOR HUMANS MAKE TECH BETTER 
 FOR BUSINESS both and
17. BUILD OUR BEST TECH
18. GROW OUR BEST BUSINESSES
19. BECOME OUR BEST SELVES
20. WHAT MAKES US 
 HUMAN?
21. CREATIVITY?
 PROBLEM-SOLVING?
22. EMPATHY?
 LOVE?
25. CREATIVITY?
 PROBLEM-SOLVING?
26. Source: https://www.technologyreview.com/s/608195/machine-creativity-beats-some-modern-art/
27. EMPATHY?
 LOVE?
29. 42 HUMANS 
 crave 
 MEANING
30. PRETTY MUCH 
 ANY MEANING 
 OF MEANING: COSMIC EXISTENTIAL PURPOSE TRUTH PATTERNS SIGNIFICANCE STATUS SEMANTICS
31. SIGNIFICANT S I GN I F Y
33. MEANING IS 
 WHAT MATTERS
34. BUT HOW DOES UNDERSTANDING “MEANING” 
 HELP HUMANITY PREPARE FOR OUR TECH-DRIVEN FUTURE?
35. INNOVATION IS 
 WHAT IS GOING TO MATTER
36. INNOVATING AT THE INTERSECTION 
 OF HUMAN WORK AND 
 DIGITAL TRANSFORMATION
37. Human 
 Outcomes Business 
 Objectives Technological 
 Capabilities OUR 
 BEST BUSINESSES
38. EMERGING TECH WILL ADD CAPACITY AND SCALE LIKE NEVER BEFORE
39. OUR ACTIONS AND DECISIONS WILL HAVE OUTSIZED CONSEQUENCES
40. AMAZON GO image via Wikipedia
41. twitter: 
 @kateo 
 @koinsights

42. image via Wikipedia
45. EXPERIENCE 
 at scale changes 
 CULTURE
46. EXPERIENCE 
 at scale changes 
 CULTURE is
47. MEANING 
 vs. 
 ABSURDITY
50. WE CAN’T GIVE 
 ABSURDITY
 A CHANCE 
 TO SCALE.
51. ANYONE ELSE HERE HAVE A 
 LOVE/HATE RELATIONSHIP 
 WITH AUTOMATION?
52. “The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.” — Bill Gates
53. “The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.” — Bill Gates meaning meaningful absurdity absurd experience experience as modified, with apologies, by Kate O’Neill
54. Map source: http://www.governing.com/gov-data/economy-finance/job-automation-metro-area-estimates.html Data source: https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
55. Map source: https://www.ceda.com.au/Research-and-policy/All-CEDA-research/Research-catalogue/Australia-s-future-workforce
56. AUGMENTED DISPLACED REPLACED CREATED HUMAN WORK IN THE TECH-DRIVEN FUTURE
57. Illustration by R. Kikuo Johnson, 
 used with permission
58. AUTOMATION IS: ✓ A BUSINESS OPPORTUNITY ✓ A HUMAN OPPORTUNITY ✓ A DESIGN PROBLEM ✓ A STRATEGY PROBLEM ✓ A CULTURE PROBLEM
59. HUMANS THRIVE ON A SENSE OF MEANING, COMMON GOALS, AND A SENSE OF FULFILLING SOMETHING BIGGER. MACHINES THRIVE ON SUCCINCT INSTRUCTIONS. WHAT LEADS TO BOTH IS PURPOSE.
60. PURPOSE 
 IS THE SHAPE
 MEANING TAKES IN BUSINESS.
61. DISNEY THEME PARKS: “CREATE MAGICAL EXPERIENCES”
62. DISNEY THEME PARKS: 
 CREATE MAGICAL EXPERIENCES
63. USING DATA IN AN INTEGRATED AND INTENTIONAL WAY 
 TO AMPLIFY STRATEGIC PURPOSE WHAT DIGITAL TRANSFORMATION 
 OFTEN IS WHAT DIGITAL TRANSFORMATION 
 SHOULD BE “QUICK, SOMEONE COME UP WITH AN AI STRATEGY”
64. HUMANS CAN’T LEAVE MEANING 
 UP TO MACHINES
65. OUR 
 WORST TECH
66. SUBTLE NUANCES ARE NOT AI’S STRONG SUIT. 
 
 (YET.)
68. BUT HUMANS (GENERALLY) DO 
 NUANCE WELL.
75. !!!
76. NOW IS IT DYSTOPIA?
 or
 HOW ABOUT THAT OPPORTUNITY TO CREATE SOMETHING BETTER?
77. Human 
 Outcomes Business 
 Objectives Technological 
 Capabilities OUR 
 BEST TECH
78. we need to 
 improve the customer user patient student shopper visitor resident human reader learner employee guest experience
79. INTEGRATED HUMAN EXPERIENCE DESIGN offline and online, all contexts together not just users, customers, patients, students, etc — but awareness of People across all their contexts intentional layer of interactions and transactions the adaptive execution of strategic intent TO DESIGN MEANINGFUL AND DIMENSIONAL EXPERIENCES:
80. A "TECH HUMANIST" APPROACH TO 
 MACHINE-LED HUMAN EXPERIENCES 1. Don’t Just Automate the Menial; 
 Automate the Meaningful 2. Automate Empathy 3. Use Human Data Respectfully 4. Reinvest Gains into Humanity 
 and Human Experiences
81. USE 
 HUMAN DATA
 RESPECTFULLY.
82. RELEVANCE 
 is a form of
 RESPECT.
83. (DISCRETION 
 is a form of
 RESPECT, 
 TOO.)
84. PROTECT HUMAN DATA 
 EXCESSIVELY.
86. USE (OUR) DATA to MAKE MEANING
87. CAN TECH 
 HELP US create MORE MEANINGFUL HUMAN EXPERIENCES?
89. WE USED 
 DATA AND EMERGING TECH 
 TO TRANSFORM EXPERIENCES AROUND WHAT MAKES HUMANITY THRIVE? What if
90. Source: The United Nations
91. YOU’RE NOT FUTURE-READY 
 IF YOU’RE NOT THINKING ABOUT 
 HOW YOUR DECISIONS IMPACT 
 THE FUTURE OF THE PLANET 
 AND OF ALL OF ITS PEOPLE P .S.
92. HOW DOES INNOVATION MEET SUSTAINABILITY?
93. SMART CITY GOALS MEET HUMAN EXPERIENCE AND SUSTAINABILITY INITIATIVES
94. built environment automated infrastructure digital engagement opportunities humanity-centered experience e.g. train arrival times e.g. train station e.g. digital library of books e.g. sensory details THE HUMAN-CENTERED METROPOLIS
95. built environment automated infrastructure digital engagement opportunities humanity-centered experience “what makes this more usable?” “what makes this more engaging?” “what makes this more meaningful?” THE HUMAN-CENTERED METROPOLIS
96. IF PROPERLY TRAINED AND PROPERLY DIRECTED, WHAT GOOD CAN AI DO?
97. DETECTING CANCER
 FINDING MISSING CHILDREN CLEANING UP THE OCEANS HELPING PEOPLE LEARN NEW SKILLS SPOTTING NUCLEAR WEAPON SITES ADDRESSING FOOD SCARCITY ISSUES ADDRESSING CLEAN WATER SHORTAGES
98. MACHINES 
 are what we encode of 
 OURSELVES
99. Human 
 Outcomes Business 
 Objectives Technological 
 Capabilities OUR 
 BEST SELVES
100. WHAT ARE YOU 
 TRYING TO DO 
 AT SCALE?
101. HELP HUMANITY PREPARE FOR OUR TECH-DRIVEN FUTURE
102. CREATE 
 MORE MEANINGFUL 
 HUMAN EXPERIENCES.
103. THE TECH-DRIVEN FUTURE 
 WILL BE NEITHER 
 DYSTOPIA NOR UTOPIA. 
 
 IT WILL BE WHAT WE MAKE IT.
104. THE BEST FUTURES 
 for
 THE MOST PEOPLE
106. Thank you
 for your work. /kateoneill Image credit: Robbie Quinn (http://robbiequinnphotography.com/) kate@koinsights.com twitter: 
 @kateo
107. strategy for meaningful human experience in a tech-driven future