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Why UX should guide AI

#artificialintelligence

If we need to learn one thing about the numerous AI applications around us today, it is that they are examples of "artificial specific intelligence." In other words, they rely on algorithms that are great at very particular tasks, such as selecting a movie based on our watching history or keeping our car in the proper lane on the highway. Because it is so highly specialized, AI greatly outperforms human intelligence in those narrowly defined tasks. Take it from a person who recently spent 50 minutes picking a movie that itself lasted 77 minutes. However, AI's effectiveness at specialized jobs comes at the price of severe context blindness and a general inability to develop meaningful feedback loops: The typical algorithm does not and cannot consider the wider implications of the decisions it makes and hardly affords us users any control over its inner workings.


How Blockchain and AI Integration Can Benefit Businesses?

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Artificial intelligence is an intuitive principle that integrates machine learning in creating the shift from the traditional ways to a new paradigm.


Artificial intelligence (AI) in Supply Chain and Logistics Market 2021-2028

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The global Artificial intelligence (AI) in Supply Chain and Logistics Market report includes comprehensive data on emerging trends, market drivers, …


Artificial Intelligence: Deutsche Bank Releases Paper on Potential of AI in Securities Services

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The wishes of investors looking to not having to deal with settlement failure penalties and cookie-cutter services from custodian banks will be fulfilled …


From Amazon to Uber, Companies Are Adopting Ray

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"Uber has a new machine learning platform project called Canvas, and they decided to choose Ray to build this platform on," says Ion Stoica, a UC …



Smart Factories Need Smart Power

#artificialintelligence

From artificial intelligence and automation to machine learning and the … Beyond automation to autonomous machines: the challenge of powering …