Category Archives: Decision Making

AI Yes-Men

Pieter van Schalkwyk posted on LinkedIn “When AI Agents Tell You What You Want to Hear: The Sycophancy Problem“. In particular, he says: “Modern AI models learn to maximize user satisfaction metrics. This training creates a fundamental bias toward telling … Continue reading

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Explaining Solutions of Combinatorial Optimization

DecisionBrain is actively investigating the topic of explaining Combinatorial Optimization results. Drawing from principles in both Social Sciences and Artificial Intelligence, they highlighted two key types of explanations, contrastive and counterfactual explanations, and discussed their relevance in decision-support systems. Link

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“Expert Systems Will Lead the Next Chapter of AI”

Clive Spenser pointed to a very interesting Oct-2024 article by Martin Milani that makes the case for coupling deep learning with expert systems. “In the next generation of AI, advanced expert systems will serve as the core “intelligence,” acting as … Continue reading

Posted in Artificial Intelligence, Business Logic, Decision Making, Expert Systems, Human-Machine Interaction, Machine Learning | Leave a comment

Decision-making under uncertainty

Meinolf Sellman: “The key to efficiency and smooth, low-cost, and low-surprise operations is to make better decisions. And that has always been the objective of AI. Not the silly chatbot AI that you see being hyped. Not the expensive AI … Continue reading

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Combining AI and OR/MS for Better Trustworthy Decision Making

An interesting event “Bridge: AI+ORMS” will occur on February 25-26, 2025 as a part of the 39th Annual AAAI Conference on Artificial Intelligence in Philadelphia USA. “The goal of this bridge program is to unite AI and OR/MS practitioners and … Continue reading

Posted in Artificial Intelligence, Constraint Programming, Decision Making, Optimization | 1 Comment

Agentic AI for Decision-Making

“To build truly impactful AI, we must embrace Augmented Intelligence—keeping the Human in the Loop to ensure explainability, trust, and accountability.One critical step: creating intermediate, human-consumable artifacts (think: models) that can be validated and verified. These are essential milestones on … Continue reading

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Peter Voss: “AI has lost its way”

A few days ago at DecisionCAMP-2024 Peter Voss presented “The Third Wave of AI: From rules, to statistics, to cognition” explaining why LLMs are not on the path towards Cognitive AI [AGI]. Today Peter published even a stronger article titled … Continue reading

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Beyond Data-Driven Decisions

This is a title of the article published by Eric Larson today. “Intelligent business leaders are noticing something important: having lots of data doesn’t always mean making good choices. So now, companies are changing how they use data. They’re moving away … Continue reading

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More about Decision Fairness

The question “Could we achieve fairness in our automatic decision-making?” continues to be on minds of many decision intelligence partitioners. Jacob Feldman in his new post “How decision models deal with fairness” looks at 7 real-world decision-making applications in development of … Continue reading

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Making decisions within an uncertain environment

Warren Powell provided interesting comments the the latest NY Times article “When it comes to math, AI is dumb” that states: “Early computers followed rules. AI follows probabilities. But in mathematics, there is no probable answer, only the right one”. Probabilists … Continue reading

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