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The most important improvement in technical tools is AI. In the world of AI, the most important challenge has been finding explainable AI (XAI). And now, we have found it.
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Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no...
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This week's Future in Review (FiRe) conference transcript covers a critically important subject – AI, ethics, and healthcare – and shines a light on the questions we...
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Alphabet is facing backlash from its shareholders over its approach to digital privacy, reports the Financial Times. And not for the first time. This time, however,...
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Last week, Google’s CEO, Sundar Pichai, called for new AI regulations. The next day, IBM called for rules to eliminate AI biases that can discriminate against consumers,...
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So, you know about AI biases but want to see a demonstration of what’s involved in identifying and removing them from a machine learning/AI application? A recent webinar...
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DataRobot, a vendor of enterprise AI, recently released a report revealing that nearly half (42%) of AI professionals in the US and the UK are “very” or “extremely”...
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AI is changing the fabric of our world, from the way we conduct business, to how we work and live, make decisions, and engage with each other, to how we organize our...
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Read this Executive Brief to understand the dark side of AI – algorithmic (machine) biases, how they emerge, why they are dangerous, and how to mitigate them.
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This storyboard will help you to learn about machine (AI) biases and why and how to mitigate them.
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