Tag: explainable AI
Dec 9, 2019 |
One of the biggest roadblocks that could prevent the widespread adoption of AI is explaining how it works. Deep neural networks, in particular, are extremely complex and resist clear description, which is a problem when it comes to ensuring that decisions made by AI are made fairly and free of human bias. Read more…
Nov 21, 2019 |
Tech investors are betting that automated IT operations will be among the first significant enterprise applications for AI.
Artificial intelligence for IT operations, or AIOps, and the application of machine learning to data is beginning to attract venture capital as investors look for nuts-and-bolts automation applications that will deliver quick returns on investment. Read more…
Nov 13, 2019 |
With data emerging as the life blood of most industries, the emphasis has shifted from organizing and analyzing big data to finding ways to establish higher levels of trust in the torrent of data generated through customer and partner interactions. Read more…
Apr 12, 2019 |
European regulators continue to take the lead on a range of critical technology policy issues spanning data privacy and, now, “trustworthy” AI.
On the heels of its sweeping General Data Protection Regulation, considered by at least one observer as “the most significant change in privacy law in decades,” the European Union this week unveiled ethics guidelines for “building trust in human-centric AI.”
First and foremost, the EU framework emphasizes human oversight of AI development: Read more…
Oct 22, 2018 |
The Pentagon’s top research agency is focusing its considerable AI efforts on the interim stage of machine intelligence between “narrow” and “general” AI.
The Defense Advanced Research Projects Agency (DARPA), which announced a multi-year $2 billion “AI Next” “campaign last month, is tightening its focus on teaching machine “common sense” reasoning. Read more…
Aug 15, 2018 |
Deep learning is popular today because it often works better than other machine learning approaches, particularly when large sets of training data are available. However, this form of AI doesn’t always work well. Read more…
May 30, 2018 |
One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don’t know how the models generated their answers, even if we’re very confident in the answers themselves. Read more…
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