Category Archives: Artificial Intelligence

Explainability and Interpretability

Explainability of decisions produced by machines is one of the hottest topic these days (see XAI). Explainable AI usually makes decisions using a complicated black box model, and uses a second (posthoc) model created to explain what the first model … Continue reading

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How can we persuade people to trust an algorithm?

On Dec. 4 Andrew Ng listed several important techniques  that can persuade people to trust an algorithm. “Trust isn’t just about convincing others that our solution works. I use techniques like these because I find it at least as important … Continue reading

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Dichotomy between Machine Learning and Business Rules

Prof. Hafedh Mili published an article “On the fallacy of the dichotomy between analytics/machine learning, and business rules“. The main points are: We have been there before Business rules rely on analytics If you need to explain your decisions to someone, you need business rules … Continue reading

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Sketch-Based Image Synthesis

Recently, there has been an increase in popularity of artwork generated by computers. The goal of sketch-based image synthesis is to generate some image given the constraint of a sketched object. This allows non-artist users to turn simple black and … Continue reading

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Six AI Fears on Halloween

It’s Halloween, and if you want to know how scared you should or shouldn’t be about the future of AI, you can read Andrew Ng’s take on 6 AI fears in the Halloween special edition of The Batch! Each fear … Continue reading

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Impact of AI on Intellectual Property Law and Policy

The United States Patent and Trademark Office (“USPTO”) is gathering information about the impact of artificial intelligence (“AI”) technologies on the copyright, trademark, and other intellectual property rights. It asks 13 questions like this one: “Should a work produced by … Continue reading

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AI-Driven Decision Making

This HBR’s article “What AI-Driven Decision Making Looks Like” discusses the evolution of decision-making. Here are the stages: A decision-making model based on human judgement Data-supported decision making A decision-making that utilizes AI A decision-making that combines the power of … Continue reading

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