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Jana Eggers, What Do We Need to Know About AI?, BoS USA 2016

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Jana Eggers, What Do We Need to Know About AI?, BoS USA 2016

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Jana Eggers of NaraLogics talks at BoS Conference USA 2016

See all talks here: http://businessofsoftware.org/2016/07/all-talks-from-business-of-software-conferences-in-one-place-saas-software-talks/

Jana Eggers of NaraLogics talks at BoS Conference USA 2016

See all talks here: http://businessofsoftware.org/2016/07/all-talks-from-business-of-software-conferences-in-one-place-saas-software-talks/

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Jana Eggers, What Do We Need to Know About AI?, BoS USA 2016

  1. 1. Jana Eggers CEO, @jeggers Image: http://www.cornerstoneondemand.com/blog/ What to do when your next team member is a ‘bot
  2. 2. CC: Geoff Stearns CC: NASA CC: anatakti CC: Geoff Stearns Artificial light @naralogics @jeggers
  3. 3. CC: James Watkins DID NOT REPLACE THE SUN @naralogics @jeggers BTW...
  4. 4. This little light of mine @jeggers @naralogics
  5. 5. Lesson #1: Algorithms are introverts Action #1: Design the full expectations and interactions for your algorithms, a.k.a., write a job description! @jeggers Credit: Stanford University
  6. 6. CC: Terry Freedman Lesson #2: The algorithm, the data & the problem solving a.k.a., the chicken, the egg & the bacon @naralogics @jeggers
  7. 7. Action#2:Bringhomethebacon
  8. 8. Credit: izquotes.com Or in other words: Suppose you went to Ada Lovelace and asked her the difference between a script and a program. She’d probably look at you funny and say, “Well a script is something you give an actor, but a program is what you give the audience.” That Ada was one sharp lady
  9. 9. Lesson #3: Rocket science is the easy part @jeggers Action #4: Manage the program, not just the part
  10. 10. Lesson #4: Beware of Kasparov’s mistake Action #4: Expect bugs, especially in your data. BTW, your data sucks. @jeggers
  11. 11. Lesson #5: Don’t underestimate the complexity Action #5: Bring in expertise for the algorithm, the data, the problem being solved, the ethics involved. @jeggers Credit: /r/AntiAir1018
  12. 12. 1. Algorithms are introverts… Build a job description 2. Results are bacon… Focus on results 3. Start small… but carry a big vision 4. Learn from Kasparov… Expect mistakes 5. Shit happens… Bring in expertise @jeggers @naralogics
  13. 13. @jeggers Algorithms are the single greatest instrument of change in today’s business world.
  14. 14. Mathematicians Physicists Computer Scientists Data Compute Power Neuroscientists Product Owners IA & UX Business Problems Funding Ethicists Social Scientists Lawyers Entrepreneurs Suits Kids & Grandmas YouYou You You You You @jeggers You People not like You People not like You People not like You People not like You People not like You People not like You People not like You

Editor's Notes

  • Past studies suggest that robots can have a tough time getting people’s attention when they didn’t fully understand the robot’s function or intentions, when they were already busy and when they had nobody else to turn to for social proof, Fischer said. The Stanford group tried to eliminate some of those complications by giving the trash can robot a very straightforward design and testing it in a situation where people would genuinely need its services and might not have much else to do.

    Mantra… not ghosts in the machine
  • i.e., you get what you measure
    Focus on the results
  • Larry Wall
  • Definition of insanity
  • You need to know what problem your are solving first.
    You’ve got to consider how this could go wrong… think Volkswagen.
    Recall the early days of computing. Few developers. We have that now too, but it is less clear.
  • The single greatest instrument of change in today’s business world
  • Jaron Lanier: “Humans aren’t biological computers”.


    We need more minds and more ideas in this space.

    Diversity in thinking is going to help us raise a well-rounded child, and we do need to confront social issues too. What are the social norms?


    Not to mention ethicists, ethnographers, etc.

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