Jana Eggers CEO,@jeggers Image: http://www.cornerstoneondemand.com/blog/What to do when your next team member is a bot

CC: Stephen Bowler

2

CC: Geoff Stearns

CC: NASA

CC: anatakti

CC: Geoff StearnsArtificial light@naralogics@jeggers

CC: James WatkinsDID NOT REPLACE THE SUN@naralogics@jeggersBTW...

4

This little light of mine @jeggers@naralogics

Lesson #1: Algorithms are introverts

Action #1:Design the full expectations and interactions for your algorithms,a.k.a.,write a job description!

@jeggersCredit: Stanford University

Past studies suggestthat robots can have a tough time getting peoples attention when they didnt fully understand the robots 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 machine6

CC: Terry FreedmanLesson #2:The algorithm, the data & the problem solving

a.k.a., the chicken, the egg & the bacon@naralogics@jeggers

Action #2: Bring home the bacon

i.e., you get what you measureFocus on the results11

Credit: izquotes.comOr in other words:

Suppose you went to Ada Lovelace and asked her the difference between a script and a program.

Shed 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

Larry Wall12

Lesson #3: Rocket science is the easy part

@jeggersAction #4:Manage the program,not just the part

Definition of insanity13

Lesson #4: Beware of Kasparovs mistake

Action #4:Expect bugs,especially inyour data.

BTW, your datasucks.

@jeggers

14

Lesson #5: Dont underestimate the complexityAction #5:Bring in expertise forthe algorithm,the data,the problem being solved,the ethics involved.

@jeggers

Credit: /r/AntiAir1018

You need to know what problem your are solving first.Youve 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.16

Algorithms are introverts Build a job descriptionResults are bacon Focus on resultsStart small but carry a big visionLearn from Kasparov Expect mistakesShit happens Bring in expertise

@jeggers@naralogics

@jeggersAlgorithms arethe single greatest instrument of changein todays business world.

The single greatest instrument of change in todays business world18

MathematiciansPhysicistsComputer ScientistsDataCompute PowerNeuroscientistsProduct OwnersIA & UXBusiness ProblemsFundingEthicistsSocial ScientistsLawyersEntrepreneursSuitsKids & GrandmasYouYouYouYouYouYou@jeggersYouPeople not likeYouPeople not likeYouPeople not likeYouPeople not likeYouPeople not likeYouPeople not likeYouPeople not likeYou

Jaron Lanier: Humans arent 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.19