AI is surging in awareness, interest, activity, investment, and adoption (and lessons learned). Powerful machine learning methods are enabling new efficiencies, innovations, and discoveries, and are now commonplace in consumer products and integrated into industry operations--but sometimes invisibly so. While we think of AI is making some products, services, decisions, and results better, faster, or cheaper—and maybe all of the above—but we often don’t truly understand how the decision gets made by the AI. Deep learning methods in particular, with many layers in complex neural networks, can produce seemingly simple, powerful and objective models to be use for classifying, judging, predicting, etc. We know the results are not always of perfect accuracy, but what about bias? Are the models develop with unbiased approaches? Is the training data unbiased? What about the application of the model: is it being handled ethically and equitably, to protect privacy and prevent discrimination? When we teach systems to learn and infer on our behalves, it’s crucial to do so with ethical foundations and consideration. Listen to our experts discuss the various ethical issues that must be considered in the appropriate use of AI in business, education, government, and society at large.
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