- Three challenges with AI : Employment, legal liability and bias
- 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
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
- 13 years at apple, 17 at amazon
- States should be a promoter not only a regulator/tax office use vs regulation & tax
- 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
- 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
- Sometimes governments try to do what they usually do but faster. It should be the opposite : When you react quickly it is not thought, it is emotions.
- “The Operating system of the world was designed in a world of coal and steel”
- Let’s not forget the E of OECD, countries compete. On this topic we shouldn’t only be looking on nice, regulation… but on how our countries are competitive. Otherwise, most of the investment is done by one country. And even more by one country that is not member of the OECD…This is the first industrial revolution we are self aware of.