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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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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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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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This phase of the blueprint, Mitigate Machine Bias, will help you learn about machine biases, how and where they arise in AI systems, and how they relate to human...
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This phase of the blueprint, Mitigate Machine Bias, will help you learn about data biases and how to mitigate them.
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This template contains the questions from the "Datasheets for Datasets" framework.
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This phase of the blueprint, Mitigate Machine Bias, will help you you learn about model biases and how to mitigate them.
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