Dr. Lydia Kostopoulos addresses the need to decouple human characteristics from algorithmic capabilities, emphasizing the importance of understanding the limitations of AI systems. She warns against anthropomorphic biases that could misrepresent AI's potential and advocates for maintaining human autonomy in decision-making. The discussion aims to foster better communication regarding AI's capabilities and risks, promoting a dialogue on how technology should enhance rather than undermine human experience.

1. Decoupling Human
Characteristics from
Algorithmic Capabilities
Dr. Lydia Kostopoulos
SVP Emerging Tech Insights, KnowBe4
@LKCYBER

2. Dr. Lydia Kostopoulos
- Emerging Technologies Strategy & Innovation
- Technology Advisor to the United Nations Institute
of Disarmament Research
- Addressed the United Nations on the topic of lethal
autonomous weapons systems
- Technology Ethics Advisor
SVP Emerging Tech Insights, KnowBe4
Emerging Tech Adjunct Faculty
US Joint Special Operations University
@LKCYBER

3. 01
DIFFERENCES
HUMAN VS MACHINE
MERITS
ANTHROPOMORPHIC
RESTRAINT
WHY
THE NEED FOR
THIS STUDY
02 03

4. WHY
01 THE NEED FOR THIS STUDY

6. ANTHROPOMORPHIC
MISINTERPRETATION

7. On anthropomorphic bias…
These anthropomorphic mistakes,
“can affect our ability to understand and
assess the potential of these technologies.”
Kyle Scott, speaking while at the Future of Humanity Institute (FHI) at the University of Oxford

8. The all seeing
and all knowing
artificially
intelligent system.

9. SUPPORT DECISION-MAKERS &
HEDGE FOR RISK
Decision Makers Legal Counsel
• RISK
• LIABILITY
• REPUTATION LOSS

10. UNDERSTANDING LIABILITY

11. Risk Appetite
Informed situational
awareness of technology
competence & capability

12. DIFFERENCES
02 HUMAN VS MACHINE

13. DECOUPLING THE DIFFERENCES
● LEARN
● ANALYSIS
● KNOWLEDGE
● FORESIGHT
● DECISION-MAKING

14. LEARN
Humans

15. LEARN
Machines
Data
Algorithmic
Purpose
Algorithmic
Development
“Learning” Liabilities
What data is used?
How has it been collected?
How has it been labeled?
How is it structured?
What is the algorithm
meant to process?
And to what end?
Dissect the intents of
learning.
What risks are being
assumed?

16. LEARN
Machines
Data
Algorithmic
Purpose
Algorithmic
Development
“Learning” Liabilities
What data is used?
How has it been collected?
How has it been labeled?
How is it structured?
What is the algorithm
meant to process?
And to what end?
Dissect the intents of
learning.
What risks are being
assumed?

17. ANALYSIS
Humans

18. ANALYSIS
Humans

19. LEARN
Machines
Math
Statistics
Probability

20. - Lydia Kostopoulos
“DE-COUPLING HUMAN
CHARACTERISTICS OPENS A
SPACE FOR HUMAN DECISION
MAKERS TO INQUIRE ABOUT AI
CAPABILITIES.”
VALUES
ETHICS
RISK
LIABILITY
SERVICE
BUSINESS
CONTINUITY

21. KNOWLEDGE
Humans

22. Human Experience

25. Curiosity & Desire
AI-Systems have the potential to assist
humans in their pursuit of knowledge
and truth, however these systems are
not able to have human desire,
passion and curiosity which drives
science and discovery.
This is why it is important to decouple
human knowledge from algorithmic
knowledge representation.

26. DECOUPLING THE DIFFERENCES
● LEARN
● ANALYSIS
● KNOWLEDGE
● FORESIGHT
● DECISION-MAKING

27. MERITS
03 OF ANTHROPOMORPHIC RESTRAINT

28. “The most critical question in
the time of so-called
“intelligent” technologies and
systems is how to use them
in order to reinvigorate, and
not to undermine human
autonomy, agency and self-
determination at an individual
and – most importantly – at a
collective level. This desire is
the driving force behind the
creation of the global Council
on Extended Intelligence.”
– Konstantinos Karachalios
IEEE Standards Association (IEEE-SA) and & MIT Media Lab
Council on Extended Intelligence

29. A technology as important as AI-Systems which will be
employed across every industry and affect every single
one of our lives, should be communicated in a way that
does not de-humanize the human experience.
I hope this will be the strate to a continued conversation
about how we can best communicate the use-cases and
capabilities of AI-Systems in a way that allows for a more
open and robust conversation on not just the
opportunities, but the risks that need to be mitigated.

30. I hope this will be the start of a continued
conversation about how we can best communicate
the use-cases and capabilities of AI-Systems in a
way that allows for a more open and robust
conversation on not just the opportunities, but the
risks that need to be mitigated.

31. Thank you!
Questions?
Dr. Lydia Kostopoulos
@LKCYBER

32. KnowBe4 is hiring!
Come say hello!
We are at Booth H2 D20
KNOWBE4.COM