Category Archives: Artificial Intelligence

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

Isaac Asimov and GenAI

Here is the post of Rafael Brown: Isaac Asimov: “There is a cult of ignorance in the United States, and there has always been. The strain of anti-intellectualism has been a constant thread winding its way through our political and … Continue reading

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Warren Powell about “Agentic AI”

The latest AI buzz word: “Agentic AI”. “AI” has become such an empty phrase, and adding adjectives such as “agentic” simply adds more jargon. When referring to software, can we please use terms that clearly describe products that businesses can … Continue reading

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Thought-Provoking AI-2025 Predictions

Greg Isenberg published his controversial but thought-provoking list of predictions. Here are just a few hooks:

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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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“AI will place the law in the hands of everyone”

Richard Susskind: “I argued that short-term thinking is the gravest danger facing lawyers when it comes to AI. I suggested that the future of legal service will not simply be a turbo-charged version of today’s legal working practices. Instead, I … Continue reading

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Decision Optimization and Generative AI

There are two new articles devoted to this topic: “Optimization and Generative AI” by Alex Fleischer “LLM-ify me – Optimization edition” by Richard Oberdieck

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AI in Commercial Context

Harley Davis: “At least in industrial/commercial contexts, we are usually interested in solving a series of more specific problems rather than having one big AI that can do anything. And those specific problems always involve interfacing with some existing processes, … Continue reading

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Agentic AI with Self-Reflection

Armand Ruiz, VP of Product – AI Platform @IBM, posted “The future of AI is Agentic” with this architectural schema that looks promising for business decision-making with ongoing improvements:

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Focus on Learning Not On Knowledge

Peter Voss lists “Focus on Knowledge, Not Learning” as one of The 7 Deadly Sins of AGI Design: “There’s a common misconception that knowledge is a good measure of intelligence. This is not so. An encyclopedia has a lot of knowledge but … Continue reading

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