The document discusses the evolving concept of artificial intelligence (AI) in the digital post-truth era, highlighting the distinctions between various types of intelligence, including automated and semi-autonomous systems. It emphasizes the importance of accountability, trust, and the integration of human oversight in AI applications. The author positions AI not merely as a new industry but as a transformative force akin to steam and electricity that will reshape the economy.

1. The Intelligence Wars
Neopolitics of A.A.I.* in the Digital Post-truth Era
Bogdan BOCȘE
Managing Partner at Knosis.ai

2. A.I. is a broken concept.
Buzzword. Conveys no information. Semantic catastrophic annulment.
Just like “Big Data” and “Cloud” used to be.

3. A.[N.]I.
Artificial Narrow
Intelligence
3
A.[C.]I.
Artificial
Collaborative
Intelligence
2
A.[G.]I.
Artificial
General
Intelligence
1
��
A.[S.]I.
Artificial Super
Intelligence
0
We are here!

4. Physics is the Petri dish of organic chemistry
Organic chemistry is the Petri dish of carbon-based life
Carbon-based life is the Petri dish of intelligent life
Intelligent life is the Petri dish of silicon-based life

5. Intelligence is intelligence.
The human-machine line is blurring with each smart device we buy.

6. Asking the hard questions.
Accountability. Auditability. Control. Attention.
Product
Managers,
take a seat :)

7. Automating Human Intelligence
Does the machine automate a traditionally-human task like reading scanned documents or answer the support line?
Augmenting Human Intelligence
Does the machine analyze a vast volume of data to scan for face, occurrences, events, behaviors, !transactions which are
reasonably expected to be relevant to human user/experts?
Semi-autonomous intelligence, supervised by human intelligence
Does the machines learn from the human experts, as more cases are manifested by destiny?
Autonomous Intelligence
Does the machine make decisions all by itself?
Is that ok with legal?
Is that GDPR compliant?
Is there at least a nearby human to supervise or to help, if the machine requests?
Does said human understand the business context in a timely fashion?
Does that human know how to write enough code to fix the problem fast enough?
Graceful Degradation
Is there a deterministic, fully-tested deterministic algorithm to which the intelligent machine can fall-back on?

8. A.A.I.* isn’t a new industry.
It’s a transformative force - like steam and electricity - that will reshape the entire economy.
*Artificial and Augmented Intelligence

9. D
e
p
l
o
y
s
u
c
c
e
s
s
f
u
l
m
o
d
e
l
s
Test New
Models
Retrain and
calibrate m
odels
Operate machine
Intelligence
C
o
l
l
e
c
t
&
e
n
r
i
c
h
The Virtuous Circle
of Intelligence
⥁

10. Scaling intelligence requires trusted intelligence.
Trust. Verification. And paced Change - at the right frequency.

11. Leverage the crowd. In an orderly fashion.
Anonymous proof-of-identity allows whistleblowers to become
compliance officers. For free.

12. Scaling intelligence requires trusting intelligence.
Trust. Verify. Eventually adapt.
Intelligence is a trusted conversation.
Between humans. Between machines. Between humans and machines.

13. Empower by decentralization.
An intelligent network-of-trust responds to market conditions without always-relying on humans.

14. References
Knosis.ai
The Free Energy Principle (The Generalized Math of Learning)
DeepVISS
My notes for this presentation

15. bogdan@knosis.ai
Twitter: @bocse
Linkedin: bogdanbocse