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The Future of AI
Kathryn Hume
VP Product & Strategy
@humekathryn
Or, The Not-So-Singular Life of Jean-Sebastian Gagnon
@integrateai
353,000 newborns worldwide
240 in Québec
One of those 240 babies is our story’s hero.
His name is Jean-Sebastian Gagnon.
The Childhood of JS Gagnon
Great Aunt Agathe bequeaths her Choose Your Own Adventure book collection
JS learns about
the natural world
JS sees great masterpieces …
http://genekogan.com/
and doubts that humans are that special
https://aiexperiments.withgoogle.com/ai-duetJS studies music theory
https://aiexperiments.withgoogle.com/ai-duet
https://aiexperiments.withgoogle.com/ai-duet
(What JS’s mom thinks he’s talking about)
At 12, JS doesn’t need a ride to baseball practice …
… but his parents sure paid a lot for liability insurance!
JS enters the awkward phase
*That’s not JS’s hand **JS sticks to girls his own age
JS’s first date with Tania
JS’s real-life first date with Tania
JS Gagnon Goes to University
Claude Shannon’s maze-solving mouse Theseus, 1952
Arthur Samuel’s checkers program on the IBM 701, 1956
Rosenblatt’s Mark I Perceptron
Cornell University, 1957
1986 1989
Early 2000s
Age of Brute Statistics
More Data
Performance of GPUs over time
GPU vs. CPU Performance of
Black-Scholes Option Pricing
Next Generation Hardware
Next Generation Hardware
JS Gagnon Becomes a Startup Guy
Traumatized from the awkward days,
JS hates having his picture taken
Bradford Cross, June 14 2017
1. Full stack products
2. Subject matter expertise
3. Proprietary data
4. AI delivers core value
Machine Radiologists
Machine Due Diligence
Probabilistic Endpoint Security
JS Gagnon Reads a Rotman Case Study
about integrate.ai
The Future of AI
Kathryn Hume
VP Product & Strategy
@humekathryn
Or, The Not-So-Singular Life of Jean-Sebastian Gagnon
@integrateai
WTF?!?!?!
This is not my beautiful wife!
One of those 240 babies is our story’s hero.
His name is Jean-Sebastian Gagnon.
Great Aunt Agathe bequeaths her choose your own adventure book collection
Path we thought
JS chose
Path JS
actually chose!
JS’s real-life first date with Tania
Tania inspires JS to read her AI book collection
JS Gagnon Devotes his Life to Education
Teaching young kids probability
Plato Aristotle
Reinstating a classical liberal arts education
Promoting MOOCs for
skills retraining
Developments in Language Processing
Traditional NLP N-grams Word Embeddings
Bolukbasi, Chang, Zou, Saligrama, Kalai, 2016
Man : King :: Woman : Queen
Man : Computer Programmer :: Woman : Homemaker
Black Male : Assaulted :: White Male: Entitled To
Inherent Bias in Word Embeddings
Bolukbasi, Chang, Zou, Saligrama, Kalai, 2016
Debiasing Without Compromising Utility
We must live both JS’s lives.
Let’s choose the adventure that builds
the future we want to live in.
Thank you
(We’re Hiring!!)
kathryn@integrate.ai
@humekathryn
quamproxime.com
www.integrate.ai
@integrateai

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Startupfest 2017: Kathryn Hume (integrate.ai)

Editor's Notes

  1. The first neural network. enthusiasm was destroyed by the 1980s book by Marvin Minsky and Seymour Papert that proved mathematical limitations to neural networks. This led to an AI winter.
  2. - 1952 “Theseus” mouse who learns how to go through a maze
  3. Lowers the barrier to entry for use in enterprises Orange means new since 2015! PyMC is helps with bayesian - Tensorflow from Google Gensim for unsupervised learning and LDA
  4. - it’s actually 10 friends in 14 days, but who cares
  5. word embeddings map words into vectors and then compress them down neat things about these vectors are that directions in space seem to encode semantic meaning; and difference vectors encode analogies (e.g., woman-man; queen-king). Image from Colah’s blog with embeddings of all Wikipedia
  6. debiasing method was to send pairs out to M-turk to get feedback on which qualify as biased in mind of beholder and then collapse all above the line down to vertical to remove associations with gender pairs