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AI Predicts Future Moves Using Instrumental Rationality

Innovative applications of artificial intelligence and generative AI for decision-making are expanding. A notable approach involves harnessing AI to establish instrumental rationality, where decisions are guided by logical reasoning to achieve specific outcomes.

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Prof. Alex Mintz, director of the computerized decision making lab at Reichman University in Israel, collaborated with Tzach Steiner, COO at HuddleAI, to explore alternatives and criteria to discern dominant decision-making patterns using AI and cognitive algebra.

"The capability of generative AI to identify decision-making patterns exceeds human ability. We reverse-engineered 14 decisions made by Sinwar [Hamas chief], employing a methodology called applied decision analysis," Mintz said. "This approach aided us in deciphering dominant patterns, enabling us to accurately predict future moves."

CIOs and CISOs can benefit from this methodology of identifying behavior patterns and anomalies to prevent large-scale cyber incidents, Steiner said.

In this video interview with Information Security Media Group, Mintz and Steiner also discussed:

• How HuddleAI provides decision-making methodology beyond human intuition prone to biases;
• The ethical considerations of AI, including transparency and privacy;
• Application of generative AI in making better data-driven decisions in cybersecurity.

Mintz has authored 15 books on decision-making and strategic analysis and has also served on the editorial boards of 11 international journals, including the American Political Science Review.

Steiner is a specialist in cybersecurity risk management. With more than a decade of experience in the Israeli banking industry, including six years as the head of the cyber risk department, he is investigating national security decision-making on the aspects of rationality and risk perception.