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Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading
In this podcast, we examine leading thoughts on the problem of AI bias and how to mitigate some of the most common sources of unfair treatment of users of AI applications. Continue Reading
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. Continue Reading
Evaluate Artificial intelligence legal issues and compliance Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Anthony Scriffignano's list of AI topics to watch in 2018 highlights the benefits and complications the widespread application of artificial intelligence technology will have on the enterprise in the coming year. Continue Reading
Humans could see numerous cognitive and medical enhancements as AI integration evolves, but the tech industry must take a close look at the potential negative consequences. Continue Reading
Although AI has several useful applications in healthcare, the industry has yet to fully embrace the technology because of a lack of interoperability and privacy concerns. Continue Reading
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As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading