1) Artificial intelligence is currently in a third wave focused on using deep learning and large data sets to improve marketing, sales, and customer experience. 2) Potential benefits of this wave include new jobs related to data science, social media analysis, AI coaching and training, working with robots, and more efficient marketing, sales, education and knowledge of customers. 3) However, there are also risks like bad uses of autonomous systems, bugs in AI programs, and changes to the nature of many jobs. Overall, combining the strengths of humans and AI may provide the greatest benefits while minimizing risks.

1. Eunika Mercier-Laurent
EPITA, CReSTIC, IFIP, NCP et Global Innovation Strategies
eunika.mercier-laurent@univ-reims.fr
eunika@innovation3d.fr
Artificial Intelligence:
What are the real benefits and risks?

2. Context
• Globalization & hyper-competition
• Ubiquitous smartphones & exponential
data generation
• Knowledge Economy
• Environment
• 4th industrial revolution
• Smarting
EWMD/Eunika Mercier-Laurent 27/09/2018

3. 3rd wave of IA
• Motivation: sale more and quicker
Deeplearning on navigation data & «client
experience »
• Chatbots, voice interface
• Robots, drones, IoT and autonomus
systems
• And … still real needs
EWMD/Eunika Mercier-Laurent 27/09/2018

4. Benefits from this wave
• Marketing/sales
• New professions:
– Data Scientist
– Social network explorer
– Coach AI
– Co-worker with robots
– Education/training
– …
EWMD/Eunika Mercier-Laurent 27/09/2018

5. Benefits from this wave?
• Knowledge about customers?
• Revenues from
• Easy life?
EWMD/Eunika Mercier-Laurent 27/09/2018

6. Warnings and risks
• One technique for any kind of problem!
• Bad usages (autonomous weapons…)
https://www.youtube.com/watch?v=TlO2gcs1YvM
• Weak mastering of ML programs - AI is
programmed to do something beneficial, but it
develops a destructive method for achieving its goal
• Bugs in autonomous systems, missing
data
• Evolution of professions
EWMD/Eunika Mercier-Laurent 27/09/2018

7. AI –two approaches
1. Build a super-human? or
2. Combining the best from human and
from machine?
EWMD/Eunika Mercier-Laurent 27/09/2018

8. AI today
EWMD/Eunika Mercier-Laurent 27/09/2018

9. Principle
EWMD/Eunika Mercier-Laurent 27/09/2018
• Computers are incredibly fast, accurate, and
stupid. Human beeings are incredibly slow,
inacurate, and brilliant. Together they are
powerful beyond imagination– Albert
Einstein
• Face à l'intelligence artificielle, « il faut
placer l’humain là où il est le meilleur »
- Cédric Villani

10. Benefits
• Quicker and efficient problem solving
– Marketing/finance
– Health
– Process control
– Logistics, planning scheduling
– Decision support systems
– Management of talents
• Help instead of replacing
• Supervision
• Global security
EWMD/Eunika Mercier-Laurent 27/09/2018

11. Risks?
• AI will replace humans?
• New knowledge to develop: know-how
to demonstrate human added value vs
automated systems
EWMD/Eunika Mercier-Laurent 27/09/2018

12. AI & jobs
• Evolution of current professions
– Integration of AI
• Specialisation
• New roles in companies
• AI specialiste or not?
• New professions
EWMD/Eunika Mercier-Laurent 27/09/2018

13. % human & automated systems
EWMD/Eunika Mercier-Laurent 27/09/2018

14. Collaboration – robots and surgery
EWMD/Eunika Mercier-Laurent 27/09/2018
Training
Maintenance
Up-dating
Integration
Data and knowledge

15. Embedded AI
• Thermal diagnostics of buildings,
measurements of cereal surfaces to evaluate
the amount of fertilizer needed, inspections of
power lines, measurement of snowpack
thickness, mapping of quarries...
• Usine de futur Vaudreuil, Safran…
EWMD/Eunika Mercier-Laurent 27/09/2018

16. Workplace Transformation
EWMD/Eunika Mercier-Laurent 27/09/2018

17. New professions
• Knowledge scientist
• Optimisation expert (ex logistics, planning,
environment…)
• Ideas explorer (with ideas generators)
• Creative industries (adds, cinema, games…)
• « mar-com » visionary
• « soft skills » emotional intelligence,
leadership…
EWMD/Eunika Mercier-Laurent 27/09/2018

18. AI & future – needs or dreams?
• Exponential amount of data but lack of global
knowledge bases
• EU regulation for « bad » AI
• Make European research results visible
• Search engines vs business models
• Hybrid AI
• Considering the impacts
EWMD/Eunika Mercier-Laurent 27/09/2018