Anne Carblanc Head, Digital Economy Policy, Science, Technology and Innovation OECD
> Three challenges with AI : Employment, legal liability and bias
Eric Hazan
Senior Partner, McKinsey & Co; Member McKinsey&Company
> AI : 3% of private equity, but +285% compared to last year
Tech players(facebook,Amazon …) are the one investing the most ( 28 to 35 bn$) that should be a signal
For most businesses ( McKinsey clients) the main question is what are the business cases. Lots of experiments going, there is a Mckinsey report to be published in two weeks. 12% are close to be commercialized
Allows decrease of 40% in inventory for retail
Still at an experimental stage
Rand Hindi Founder and CEO Snips
A.I. enable automation with ease and speed. Otherwise you would need time and expertise, which is costly
It is easier to collect data than to understand things
Diego Piacentini Government Commissioner Digital Agenda Italy
13 years at apple, 17 at amazon
States should be a promoter not only a regulator/tax office
use vs regulation & tax
There is gonna be a new breed of legislators
The governments have huge amounts of data, and nothing is done with it
We need long term vision to build a true operating system/ frameworks for a smart use of public services and A.I.
The perspective matter. For instance if you see refugees as a mobility problem, that could be solved as a technical problem with some political implications
Søren Pind Minister for Higher Education and Science Ministry of Higher Education and Science Denmark
To combine the slowness of democracy and the pace of innovation
Democracy is about spreading knowledge, explaining to the weakest“Why this is important”
AI might reinforce the concentration of power and capital.
We need more technicians, but also more people able to thinking across the spectrum
Opening Speakers