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Heartificial Intelligence - Embracing Our Humanity to Maximize Our Machines

  1. Heartificial Intelligence Embracing Our Humanity to Maximize Our Machines John C. Havens johnchavens.com / @johnchavens
  2. There’s two types of AI (Artificial Intelligence) One called, “Strong,” the other, “Weak.” It’s when machines gain sentience that devastation they could wreak.
  3. That’s why Friendly AI Is so important to evolve. So here’s my suggestion for this problem we should solve.
  4. It’s not about welcoming our overlords, or living in fear. We need to measure what we love and hold most dear.
  5. Embrace Humanity. Celebrate what’s unique between us and machines. While Artificial Intelligence is peachy keen, We need to live more from the heart and be Genuine.
  6. Wearable sensors, geeky eyeglasses, too.
  7. As Big Data keeps getting bigger, What happens to me and you?
  8. As machines take our jobs, Automation on the rise, If devices do so much for us, what’s left for us to prize?
  9. The human interface, it’s pretty simple, don’t you see?
  10. Find your purpose in helping others, That’s the psychology.
  11. So my friends, I salute you, what you do is quite profound. In between machines and people you provide safe middle ground. IT Professionals, to you my thanks are due.
  12. When it comes to your hearts and minds, nothing takes the place of you.
  13. Embrace HumanIT. Embrace HumanIT. While Artificial Intelligence is peachy keen, We need to live more from the heart and be Genuine.
  14. PLEASE NOTE While I say “IT Professionals,” this is shorthand for all of the amazing attendees here today, including anyone in Data Center, AV, Facilities, Real Estate, Construction Managers, Project Managers, CEO’s, CTO’s, and CFO’s.
  15. I pander without judgment.
  16. Also, “HumanIT” fit the song better than the whole list.
  17. Embrace HumanIT. Embrace HumanIT. Embrace HumanIT. Embrace HumanIT. While Artificial Intelligence is peachy keen, We need to live more from the heart and be Genuine.
  18. I like humans.
  19. I like machines.
  20. Analyzing Automation
  21. The Perils of Personalization
  22. Augmenting Our Existence
  23. Programming and Purpose
  24. You can’t automate wellbeing.
  25. Embracing Your Humanity
  26. GAP
  27. Positive Psychology
  28. • Close Your Eyes. • Scale of 1-10: How Happy are You? • Picture someone you’re grateful for. • Savor how you’re thankful for them. • Scale of 1-10: How Happy are You? • Open Your Eyes. GAP
  29. • Before your next client meeting: • Scale of 1-10: How Happy are You? • Give 3 genuine & specific compliments. • Observe people’s reactions. • Right after the meeting: • Scale of 1-10: How Happy are You? GAP
  30. 1. Work 2. Time Balance 3. Education/Culture 4. Achievement 5. Materials 6. Health 7. Good Times 8. Helping others 9. Security 10.Nature 11.Family 12.Spirituality VALUES If you don’t live to your values every day, your happiness decreases. GAP
  31. How will machines know what we value if we don’t know ourselves?
  32. Conclusion
  33. HumanIT Manifesto Machines are awesome. (REPEAT) Technology is awesome. (REPEAT)
  34. HumanIT Manifesto I pledge to use the heart and mind I already have to increase my wellbeing and the lives of those around me. (REPEAT)
  35. HumanIT Manifesto To make a Genuine difference in the world. (REPEAT)
  36. Thank you!

Hinweis der Redaktion

  1. MENTION “ARTIFICIAL INTELLIGENCE” (TITLE OF TALK) + THE WORD, “GENUINE” + THE FACT THAT THE SONG/TALK APPLIES TO THEM!!!
  2. ----- Meeting Notes (2/15/15 13:29) ----- -Where should we be more human -(Potential) AI joke: "Joe, when will that solution be ready?" 3 weeks, 2 years, or never."
  3. gap analysis is the comparison of actual performance with potential or desired performance. If a company or organization does not make the best use of current resources, or forgoes investment in capital or technology, it may produce or perform below its potential.
  4. Danger: We can’t be copied. You can’t avoid grief. Do we want algorithms to know us better than we know ourselves?
  5. What little things do we do now that could grow larger (Stacy’s thoughts).
  6. ----- Meeting Notes (1/29/15 11:14) ----- Similar statistics apply to the United Kingdom as The Telegraph reported in a November, 2014 article: “Ten million jobs could be taken over by computers and robots over the next twenty years, wiping out more than one in three roles.”
  7. ----- Meeting Notes (1/29/15 11:13) ----- A study done by the University of Oxford from March of 2014 says, “occupations employing almost half of today’s U.S. workers, ranging from loan officers to cab drivers and real estate agents, (will become) possible to automate in the next decade or two.” ----- Meeting Notes (1/29/15 11:14) ----- A study done by the University of Oxford from March of 2014 says, “occupations employing almost half of today’s U.S. workers, ranging from loan officers to cab drivers and real estate agents, (will become) possible to automate in the next decade or two.” ----- Meeting Notes (1/29/15 11:14) ----- Similar statistics apply to the United Kingdom as The Telegraph reported in a November, 2014 article: “Ten million jobs could be taken over by computers and robots over the next twenty years, wiping out more than one in three roles.”
  8. gap analysis is the comparison of actual performance with potential or desired performance. If a company or organization does not make the best use of current resources, or forgoes investment in capital or technology, it may produce or perform below its potential.
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