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Humans and Machines: Heaven or hell? The next 10 years in HR The future is awesome * if we make the right choices Technology is a great servant but but a terrible master #hellven #digitalethics Technology is rapidly transforming every


  1. Humans and Machines: Heaven or hell? The next 10 years in HR

  2. The future is awesome… *

  3. … if we make the right choices

  4. Technology is a great servant but but a terrible master #hellven

  5. #digitalethics

  6. Technology is rapidly transforming every single sector of our society: now, HR is about thought-leadership!

  7. HR is where Humans and Machines meet Androrithms Algorithms

  8. The future is no longer an extension of the present

  9. Science fiction is increasingly becoming science fact Super/Quantum Computing The Global Brain (AI)

  10. The end of ‘Business as usual’: Convergence and Interdependence Neuroscience Cloud / Quantum computing Bio-Technologies Personalized medicine

  11. So, tell me more about your fear of AI…

  12. Artificial Intelligence: Computer systems that turn information and data into KNOWLEDGE (Demis Hassabis @ DeepMind)

  13. Artificial Intelligence: Computer systems that turn information and data into KNOWLEDGE (Demis Hassabis @ DeepMind) Tacit Knowledge? Implicit Knowledge? Intuition & Imagination ? Consciousness/Agency ? Serendipity?

  14. “Machine learning is the science of giving computers the ability to learn and find insights without explicitly programming the machines on what to do”

  15. We think with the body not just with the brain! (Seligman, Feldenkrais et al)

  16. Landscape of Human Competence (Moravec, Tegmark)

  17. Landscape of Human Competence (Moravec, Tegmark)

  18. The immediate future: Intelligent Assistance (IA - not AI)

  19. Here, soon: speaking to machines ‘like speaking to a friend’

  20. “Organisms are Algorithms” ?

  21. “Organisms are Algorithms” ?

  22. “Big business decisions will be made not by experts or intuition but by big data and predictive analytics”

  23. Machines don’t do relationships!

  24. The biggest danger is not that machines will take over but that we become too much like them! #dataism

  25. “We are least aware of what our minds do best. The most difficult things for machines to emulate are those that are unconscious” (Moravec, Minsky et al) “Computers are already vastly superior to us at certain specialized tasks. Human beings may not be best at much, but we’re second-best at an impressive range of things” (NYT) “Algorithms outperform human intelligence when it is NOT about understanding emotional states, intentions, interpretations, deep semantic skills, consciousness, self-awareness and flexible intelligence* (Luciano Floridi)

  26. Ask: what should (not) be automated ?

  27. Resist Machine-Thinking!

  28. (Not really)

  29. The End of Routine is coming But the end of routine tasks does not mean the end of human work

  30. Science Humanity Technology Ethics Engineering Creativity Mathematics Imagination

  31. (Not the future of work)

  32. Anything that cannot be digitized or automated will become extremely valuable

  33. The percentage of our tasks that is ‘human-only’ will dramatically increase

  34. Huge transition challenges but ultimately a promising future • 70% of the new jobs in 2030 haven’t even been invented yet (Oxford) • Only 5% of all routine jobs can be fully automated (Mc Kinsey) • In the last 10 years, 94 % of totally new kinds of jobs have appeared outside of traditional employment (Cornell study) • By 2030 we are likely to see the first countries where more than 50% of people will work ‘gigs’ i.e. do freelance, on-demand, entrepreneurial work (Gerd) • Within 20 years, we may be able to detach money from work (and purpose!)

  35. The coming shift in economic logic: the basic income (UBI) Abundance image via Peter Diamandis

  36. Smart everything Cloud everything Data everything (Technology)

  37. (Humanity)

  38. Technology is exponential but humans are not Machine ‘smartness’ will become abundant but humanness will become even scarcer

  39. Focus less on efficiency, and more on purpose, experience and transformation

  40. Up-skill for exponential change: adopt a ‘Future-Mindset’ E X P COMBINATORIAL O N E CONVERGENT N INTERDEPENDENT T I HUMAN-CENTRIC A HOLISTIC L

  41. Imagine Create Focus on practical wisdom (phronesis) and foresight! Understand Observe

  42. THE FUTURE OF WORK and HR

  43. Embrace technology but don’t become it!

  44. Thanks for your time!

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