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#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Machine Learning Street Talk (MLST)
The Challenges of Deep Learning
GPT-3 can be fooled into classifying images incorrectly with just a small amount of distortion. Such errors can have a real-world impact such as when a deep learning algorithm mislabeled images of African Americans as gorillas leading to Google losing revenue. AI researchers are therefore faced with the challenge of training deep networks in a way which is safe, fair and aligned with human values. They must find ways to make AI systems robust and able to tackle the everyday problems which humans face. Only then will AI truly begin to approach the levels of understanding humans possess.
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