Category Archives: Explanations

Google’s What-If Tool for Machine Learning Models

Building effective machine learning (ML) systems means asking a lot of questions. It’s not enough to train a model and walk away. Instead, good practitioners act as detectives, probing to understand their model better: How would changes to a datapoint affect … Continue reading

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Decision Automation and Explanations

Prof. Gene Freuder wrote a position paper “Complete Explanations”: “The position taken here is that it can be worthwhile to start with truly complete explanations and abstract and limit from there. The goal is to provide a high-level “big picture” of … Continue reading

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Explainable Decisions

Majority of decision modeling experts agree that decision models producing business decisions should be able to explain why these decisions were made. Silvie Spreeuwenberg even wrote that “Advice Without Explanation Is Not Very Intelligent“. Tomorrow FICO will run a special … Continue reading

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True Hallmark of Intelligence is Ability to Explain

“For me, the true hallmark of intelligence is the ability to explain,” says Prof Barry O’Sullivan, deputy president of the European Association for Artificial Intelligence. “There are lots of tasks that can be automated by a technology that can do the … Continue reading

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Explanations for Human-Aware Artificial Intelligence

Prof. Eugene Freuder will present position papers “Explanations for Human-Aware Constraint Programming (CP)” and “CP and AI” at CP 2016 on Sep 5-9 at Toulouse, France. “A key aspect of human-awareness is the ability of our machines to explain their behavior and … Continue reading

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Will EU Law Restrict Automated Decision-Making?

A new article EU regulations on algorithmic decision-making and a “right to explanation” talks about the potential impact that the European Union’s new General Data Protection Regulation will have on the routine use of machine learning algorithms. Slated to take … Continue reading

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