· Last but not least, the IBM AI fairness 360 toolkit addresses the most urgent need for enterprise AI, model bias. The AI Fairness 360 open source toolkit not only automatically detects bias but also quantifies it. The toolkit provides a set of algorithms to mitigate that bias to remove it and will be a part of every ML and AI DevOps pipeline.
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.
IBM Addresses AI Bias with Massive Image Archive But the designers of a new tool have a big. AI responsibly. That remains to be seen. One of the benefits of having highly trained scientists building AI is that they have expertise in data, and. Joan Freeman puts the clients of Pieta House at the centre of all the decisions she makes.
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.
AI bias will explode. But only the unbiased AI will survive. Within five years, the number of biased AI systems and algorithms will increase. But we will deal with them accordingly – coming up with new solutions to control bias in AI and champion AI systems free of it.
eWeek: IBM 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 that algorithm designers can use to evaluate bias in their own facial analysis systems."
· IBM has also launched the open source AI Fairness 360 toolkit, which includes algorithms, code and tutorials intended to help organizations detect bias themselves. To learn more about IBM efforts to root out bias in AI, read the full article at Venturebeat and the IBM.
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