Slide deck for AI and Chatbots 101 - Vancouver Legal Hackers presented on March 27, 2017 at Courthouse Libraries BC.

1. @LegalHackersVAN #LegalHack
AI and Chatbots 101
Presented by Tom Martin
VANCOUVER

2. I’m a Yale philosophy major, lawyer,
technophile, and entrepreneur.
I am co-founder of the Vancouver chapter of
Legal Hackers, a global organization dedicated
to advancing creative technological solutions
to legal problems.
I’ve created LawDroid, an AI legal assistant to
help people solve their legal problems.
Tom Martin
@LegalHackersVAN #LegalHack

3. @LegalHackersVAN #LegalHack

4. AGENDA
1. Don’t believe the hype
2. What is artificial intelligence?
3. AI examples
4. AI milestones
5. What is a chatbot?
6. Chatbot examples
7. AI in chatbots
8. Why chatbots now?
9. How do you create a chatbot?
10.Ethics of chatbots
11.What does future hold for chatbots?

5. Don’t Believe the Hype

6. @LawDroid1 #EvolveLaw

7. @LawDroid1 #EvolveLaw

8. @LawDroid1 #EvolveLaw

10. Myths

11. What is Artificial
Intelligence?

12. 1950

13. 1637

14. Definition John McCarthy Marvin Minsky
1956

15. Definition John Launchbtury, Director
DARPA Information Innovation Office
2017

16. AI Examples

17. 2001
Viola-Jones algorithm Farfade-Saberian algorithm
200k faces/2M images
128 images over 50k iterations
2015
Face Detection

18. Emotion Detection

19. Google Search Rankings

20. Digit Detection

21. Automated MRI Image Analysis

22. Language Translation

23. Recommendation Systems

24. AI Milestones

26. Deep Blue vs. Kasparov
1997
Chess on a 9x9 board has a game tree complexity of 10123

27. Watson vs. Jeopardy Contestants
2011
+14

28. AlphaGo vs. Lee Sodol
2016
+5
Go on a 19x19 board has a game tree complexity of 10360

30. What is a Chatbot?

33. Chatbot Examples

37. AI in Chatbots

39. Rule-Based AI

40. Machine Learning AI

41. Why Chatbots Now?

46. How to Create
a Chatbot?

47. Platforms

52. Ethics of Chatbots

54. Xiaoice 2014

55. 2016

56. AI Principles
1. Designed to Assist Humanity
2. Informational Transparency
3. Maximize Efficiencies, Preserve Dignity
4. Intelligent Privacy
5. Algorithmic Accountability
6. Guard Against Bias, Discrimination
Tommy Lewis
Microsoft Tech Evangelist

57. What does the
future hold?

61. Thank You!
@LegalHackersVAN #LegalHack
VANCOUVER