Google AI expert explains the challenge of debugging machine-learning systems

Google Director of Research and renowned artificial intelligence (AI) expert Peter Norvig, presented an entirely different side of AI and machine learning at the EmTech Digital conference. He compared traditional software programming to machine learning to highlight the new challenges of debugging and verifying systems programmed with machine learning do what they are designed to do. Traditional software programming uses Boolean-based logic that can be tested to confirm that the software does what it was designed to do, using tools and methodologies established over the last few decades. In contrast, machine learning is a black box programming method in which computers program themselves with data, producing probabilistic logic that diverges from the true-and-false tests used to verify systems programmed with traditional Boolean logic methods. Google Norvig summed up the status…


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