
Tag: explainable AI
Amazon Web Services is adding an AI explainability reporting feature to its SageMaker machine learning model builder aimed at improving model accuracy.
SageMaker Autopilot now generates a model explainability report via SageMaker Clarify, the Amazon tool used to detect algorithmic bias while increasing the transparency of machine learning models. Read more…
The problem is wasteful supply chains clogged with excess inventory and defective parts. The goal is creating “perfect flow” for manufacturers and retailers to reduce waste running into the hundreds-of-billions dollars annually. Read more…
Among the best ways to create stable technologies are standards and specifications that provide a template for building trust while often seeding new technological ecosystems. That’s especially true for AI, where lack of trust and inability to explain decisions has hindered innovation and wider enterprise adoption of AI platforms. Read more…
If you’re in the market for analytics or machine learning software, you may want to keep your eyes on Altair Engineering. Best known for its product simulation and computer aided engineering software, Altair has quietly assembled an impressive big data platform that extends from data preparation and business intelligence to streaming analytics and AutoML. Read more…
Introduction
As fields like explainable AI and ethical AI have continued to develop in academia and industry, we have seen a litany of new methodologies that can be applied to improve our ability to trust and understand our machine learning and deep learning models. Read more…
For most businesses, decisions — from creating marketing taglines to which merger or acquisition to approve — are made solely by humans using instinct, expertise, and understanding built through years of experience. Read more…
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…
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…
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…
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…