1. Microsoft Cloud Computing Research Centre
3rd Annual Symposium, 8th September 2016
Machine Learning, Artificial Intelligence, and Human Data Interaction
Jon Crowcroft

2. Artificial Intelligence (AI) / Machine Learning (ML)
Old story of strong AI v. weak AI
Most recent headline successes are weak AI
NLP, ML, Stats at scale
PCA & Clustering
Pattern recognition
Model inferencing….

3. AI & Human There’s a lot of difference between ML & strong AI
Replacing human intelligence is a ways off according to many experts
Despite the recent hyped success in Go, still just an NN
(and recall, chess players really aren’t strong AIs)
Strong AI gives rise to concern about existential threat
c.f. Dune (1965), Colossus (1966) or Terminator (1984)
But we don’t have to go that far to foresee problems…

4. ML & Human
But ML already gives us pause for thought about how it interacts with human domain
Just as there was a transition from early human computors…
....to digital computation
Also human, accountants, auditors, quants, actuaries, mad men...
…to analytics
And this has widespread societal consequences

5. Human Data Interaction (HDI)
Agency
Legibility
Negotiability
Present in GDPR…
For more, see:
‘Human-Data Interaction: The Human Face of the Data-Driven Society’

6. Conclusions It’s a minefield
Concentrating on ML today, however we will have a brief discussion later on AI/HDI
“The future is already here, it is just unevenly distributed”,
William Gibson (The Economist, 2001)
So “The proper study of ethics, law & ML is no more nor less than the proper study of humans, ethics and law” – me, just now

7. Microsoft Cloud Computing Research Centre
3rd Annual Symposium, 8th September 2016
Machine Learning, Artificial Intelligence, and Human Data Interaction
Jon Crowcroft