THE AI THAT WENT OUT TO DESTROY MANKIND

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

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!
4. 68 YEARS AGO
5. AI WINTER IN 70S
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
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
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!