IBM Addresses AI Bias with Massive Image Archive

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Perhaps more importantly, IBM is going to release a dataset of 36,000 facial images that will be equally distributed across a range of ethnicities, genders, and ages. This will primarily be for evaluation purposes, a tool to help developers eliminate bias from their facial recognition systems.

According to IBM, the current largest facial attribute dataset is made up of just 200,000 images. IBM will also be releasing an annotated dataset of up to 36,000 images that are equally distributed across skin tones, genders, and ages. The company hopes that it will help algorithm designers to identify and address bias in their facial analysis.

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.

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Use of AI is ideal for predictive analytics in U.S. law, as the massive amounts. system that addresses specific application areas such as playing strategic games, language translation, self-driving.

AI is a reflection of its creator. To understand how bias is becoming embedded into AI, we have to look at how we build it. To start, AI creators design these experiences by forming the questions.

IBM Prediction: ‘AI Bias’ to ‘Explode,’ But Only ‘Unbiased AI Will Survive’ Story Highlights As artificial intelligence (AI) continues to proliferate, the amount of "biased" AI systems and algorithms will significantly rise, but only "unbiased" AI will survive, according to Arvind Krishna, head of IBM Research.

A growing number of companies see AI as critical to their future. But concerns about possible misuse of the technology are on the rise. In a recent Deloitte survey, 76 percent of executives said they expected AI to "substantially transform" their companies within three years, 7 while about a third of respondents named ethical risks as one of the top three concerns about the technology.

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