IBM Addresses AI Bias with Massive Image Archive

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IBM is trying combat this bias with a new dataset that offers a better balance of diverse faces.. Bias is a big problem in facial. The first dataset contains 1 million images and will help.

IBM has unveiled its latest offering, the Fairness 360 Kit, which will help identify any bias in AI decision making and recommend adjustments. It’s area of the burgeoning artificial intelligence segment which could prove to be its downfall. AI is supposed to set of technologies designed to make.

Some of tech’s biggest companies support benchmarks and regulation IBM. an AI scientist who co-authored the MIT study on different accuracy rates in gender-identifying algorithms, told The Verge.

IBM plans to release more than 1 million facial images to help better train the artificial intelligence behind facial recognition systems. Why it matters: The risk of bias being built into AI systems is a major hurdle for all companies developing facial analysis algorithms to, for example, recognize different skin colors and other attributes in a non-discriminatory way.

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IBM Addresses AI Bias with Massive Image ArchiveIBM Addresses AI Bias with Massive Image Archive. IBM revealed that it will soon make available to the global research community a dataset of 1 million images to improve facial analysis system training; plus a dataset of 36,000 facial images.

Now Is The Time To Act To End Bias In AI.. Google’s first generation of visual AI identified images of people of African descent as gorillas.. you leave massive profits on the table. The.

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IBM aims to meld AI with human resources with Watson suite. According to IBM, its suite of AI tools can help HR become a growth engine to enable digital transformation.

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IBM Addresses AI Bias with massive image archiveibm Addresses AI Bias with Massive Image Archive. IBM revealed that it will soon make available to the global research community a dataset of 1 million images to improve facial analysis system training; plus a dataset of 36,000 facial images.

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We, for example, in the book talk about how it can be used to address the problem of bias and discrimination. more broadly.