Category Archives: Human-Machine Interaction

AI in Decision Domain 

An interesting discussion has started by this LinkedIn post: Typically, we analyze data and models from the operational domain. However, no amount of crunching on this data will reveal opportunities for decision advantage – because there is no information about … Continue reading

Posted in Artificial Intelligence, Decision Making, Decision Modeling, Human-Machine Interaction, Insurance Industry, Knowledge Representation | Leave a comment

Again about AI understanding

On Dec-2021 Melanie Mitchell published “What Does It Mean for AI to Understand“: “Remember IBM’s Watson, the AI Jeopardy! champion? A 2010 promotion proclaimed, “Watson understands natural language with all its ambiguity and complexity.” However, as we saw when Watson subsequently failed spectacularly in … Continue reading

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Guiding mathematical intuition with AI

It is clear that intuition plays an important role in elite performance in many human pursuits. In this work the authors demonstrate a framework for mathematicians to use machine learning that has led to mathematical insight across two distinct disciplines: … Continue reading

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Everything old is new again

Prof. Gene Freuder writes about Human-Centered AI: “human-centered”, “human-aware“, “human-AI collaboration” are, rightly, very prominent nowadays. But “everything old is new again”: I ran across an interesting twenty-year-old paper from the European Journal of Operational Research on Human centered processes and decision support … Continue reading

Posted in Business Rules, Constraint Programming, Decision Making, Human-Machine Interaction, Machine Learning | Leave a comment

Insights for AI from the Human Mind

“Artificial intelligence has recently beaten world champions in Go and poker and made extraordinary progress in domains such as machine translation, object classification, and speech recognition. However, most AI systems are extremely narrowly focused. AlphaGo, the champion Go player, does … Continue reading

Posted in Artificial Intelligence, Human-Machine Interaction, Innovation | 1 Comment

GPT-3, the latest evolution in language technology – What is the big deal?

Over the summer 2020, the latest language model from OpenAI, called GPT-3, created a lot of buzz around the internet. Both within the AI community and outside people shared links to numerous examples on what GPT-3 could do, ranging from … Continue reading

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Intuit Tax Knowledge Engine

Intuit just published a technical overview of their new Tax Knowledge Engine, the key innovation to make TurboTax smarter and more personalized for 37M+ consumers. First they listed key limitations for the traditional approach that are common for many rules-based … Continue reading

Posted in Artificial Intelligence, Business Rules, Explanations, Human-Machine Interaction, Knowledge Representation, Logic and AI | Leave a comment

BizOps–Aligning Business and IT in Automated Decision-making

In his post with this title,Tom Davenport talks about “BizOps”—a new effort to address and improve the relationship between IT and business. Like other “Ops”—DevOps, AIOps, RevOps, etc.— it’s an aspirational attempt to combine two processes and cultures—business and technology. … Continue reading

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Extracting Data from Templatic Documents

In this article Google researches describe a novel approach using representation learning for tackling the problem of extracting structured information from templatic documents, such as receipts, bills, or insurance quotes. They “propose an extraction system that uses knowledge of the … Continue reading

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Can a human brain hold your life experience?

A human brain is an amazing instrument. It combines huge data storage with massive real-time processing. According to Scientific American [1], the memory capacity of the human brain was reported to have the equivalent of 2.5 petabytes (2500 TB) of memory capacity. This … Continue reading

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