Decoupling Human Characteristics from Algorithmic Capabilities
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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.
Decoupling Human Characteristics from Algorithmic Capabilities
- 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
- 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
- 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
- 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