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There are many reasons to believe that self-driving cars will be safer than human drivers. They don't get tired, text while driving, or drive drunk. However, there are also many reasons to believe they will be less safe than human drivers. This article explains why this is the case and discusses how we can test these vehicles to ensure that we don't turn our roads into a dangerous experiment.

12 Twitter sentiment analysis algorithms were compared on the accuracy of tweet classification. The fasText deep learning system was the winner.

Yale Professor Drew McDermott criticized AI researchers in 1976 for using terminology that over-hyped AI. Today's AI researchers are doing the same thing.

In cybersecurity, both hackers and defenders can use AI technology. AI can be used to both create better attacks and can be used to improve attack detection.

AI facial recognition is being used for surveillance by governments and law enforcement. The result may be a 1984-style Big Brother society.

State and local governments are starting to permit testing of driverless cars. This will likely result in accidents and traffic jams. You should be worried.

Many people assume self-driving cars will be safer than human drivers. This post explains why that assumption may well be both wrong and dangerous.

Level 3 self-driving vehicles allow a driver to read a book or watch a movie and only take over when necessary. What if there is not enough time to take over?

Considerable data science expertise is usually required to create a dataset and build a machine learning model for a particular application. But building a good model is usually not enough. In fact, it is not nearly enough. Developing and testing a model is just the first step.