THE AI THAT WENT OUT TO DESTROY MANKIND

THE AI THAT WENT OUT TO DESTROY MANKIND

Slides for my Talk about AI at Code.Talks 2019 in Hamburg.

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Carsten Sandtner

October 24, 2019
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Transcript

  1. THE AI THAT WENT OUT TO DESTROY MANKIND Carsten Sandtner

    \\ @casarock Photo by Franck V. on Unsplash
  2. „ “ @casarock Hi, I am Carsten, I’m a father

    of two, a technical director and always curious about new technologies since the 80s!
  3. None
  4. 68 YEARS AGO

  5. AI WINTER IN 70S

  6. None
  7. CURRENTLY THERE IS NO DEFINITION OF AI AVAILABLE

  8. „ “ https://en.wikipedia.org/wiki/Artificial\_intelligence In computer science, artificial intelligence (AI), sometimes

    called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.
  9. „ “ https://www.techopedia.com/definition/190/artificial-intelligence-ai Artificial intelligence (AI) is an area of

    computer science that emphasizes the creation of intelligent machines that work and react like humans.
  10. „ “ https://www.britannica.com/technology/artificial-intelligence Artificial intelligence (AI), the ability of a

    digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
  11. „ “ https://www.merriam-webster.com/dictionary/artificial%20intelligence the capability of a machine to imitate

    intelligent human behavior
  12. AI Machine Learning Deep Learning

  13. NEURON Neuron Activation Function Output Input Weight Offset z =

    ∑wixi w0 x0 +b y = f(z) y0 x1 xn w1 wn y1 yn LAYER
  14. . . . . Input Layer Output Layer Hidden Layers

  15. . . . . Input Layer Output Layer Hidden Layers

    Forward pass Init with random weights and offsets
  16. . . . . Input Layer Output Layer Hidden Layers

    Back propagation Propagate the error into every neuron err err err err err err err err err err err
  17. AND THERE ARE CONVOLUTIONAL NEURAL NETWORKS…

  18. CONVOLUTIONAL NEURAL NETWORK Conv ReLu Pool Conv Conv Conv Conv

    Conv ReLu ReLu ReLu ReLu ReLu Pool Pool Dog Cat Mouse FC
  19. REINFORCEMENT LEARNING

  20. Photo by arland https://flic.kr/p/7zY4yo

  21. © by Deepmind: https://deepmind.com/blog/article/alphago-zero-starting-scratch

  22. BRAIN VS. AI

  23. BRAIN VS. AI Neurons Cockroaches: ~1 Million Cats: ~1 Billion

    Elephants: ~23 Billion Humans: ~86 Billion Neurons
  24. None
  25. DATA, DATA, DATA!

  26. G-MAFIA Image by Vitabello from Pixabay

  27. BAT Photo by Todd Cravens on Unsplash

  28. „ “ –Amy Webb The G-MAFIA is beholden to capitalist

    market forces; the BAT serves the will of the Chinese government.
  29. „ “ –Amy Webb The robots will come and kill

    us all, but not before they take all our jobs.
  30. REALLY?

  31. „ “ –Frithjof Bergmann The aim of the new work

    is not to free people from work, but to transform work to produce free, self-determined human beings.
  32. TUMOR DETECTION

  33. QUALITY ASSURANCE

  34. SELF DRIVING CARS

  35. CRIME PREDICTION

  36. . . . . Input Layer Output Layer Hidden Layers

  37. Photo by Katie Salerno https://www.pexels.com/photo/love-people-romance-engagement-18396/

  38. MICROSOFT TAY https://twitter.com/geraldmellor/status/712880710328139776

  39. BOTS CREATED AN OWN LANGUAGE! https://ai.googleblog.com/2016/09/a-neural-network-for-machine.html

  40. INTERVIEW WITH A MACHINE…

  41. …DON’T BE UNIQUE!

  42. https://www.youtube.com/watch?v=TWWsW1w-BVo

  43. WHO IS RESPONSIBLE?

  44. GETTING MORE DATA!

  45. Photo by sebastiaan stam from Pexels

  46. VOICES - I HEAR VOICES https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html

  47. https://twitter.com/zeynep/status/994236536072953856

  48. https://www.nytimes.com/2019/05/22/technology/personaltech/ai-google-duplex.html

  49. By Carafe at English Wikipedia, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=7860391

  50. HUMANS ARE THE WEAK SPOT!

  51. WHAT COULD POSSIBLY GO WRONG?

  52. https://www.youtube.com/watch?v=dPkK8iohYLE

  53. https://www.youtube.com/watch?v=5rPKeUXjEvE

  54. NEW DIMENSION OF FAKE NEWS, MOBBING AND HARASSMENT

  55. WYSINWYG

  56. U.S. Air Force photo by Bobbi Zapka [Public domain]
 https://commons.wikimedia.org/wiki/File:Global_Hawk_1.jpg

  57. https://www.youtube.com/watch?v=9CO6M2HsoIA

  58. Photo by Cade Roberts on Unsplash https://unsplash.com/photos/H0Aud5lhupc

  59. None
  60. AZURE COGNITIVE SERVICES https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/

  61. AUDIO TRANSCRIPTION https://aws.amazon.com/de/transcribe/

  62. AND VICE VERSA https://aws.amazon.com/en/polly/

  63. AND MANY MANY MORE https://cloud.google.com/products/ai/ https://azure.microsoft.com/en-us/services/cognitive-services/ https://aws.amazon.com/en/machine-learning/

  64. Photo by Martin Shreder on Unsplash https://unsplash.com/photos/5Xwaj9gaR0g

  65. BUT? WHAT ABOUT DESTROYING MANKIND?

  66. POSSIBLE MASTERPLAN Analyze politics/mood of humans Manipulate with deep fakes

    & fake news Organise „terrorist attacks“ with autonomous drones/weapons Wait until humans destroyed themselves! Alternative: Wait for the climate collapse…
  67. WHATEVER WE USE, WE HAVE TO USE IT WISELY!

  68. THANK YOU. @casarock
 http://sandtner.net NOW LET’S PARTY!