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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.

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In AI we Trust? Why we Need to Talk about Ethics and Governance (part 1 of 2)

Cloudera

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% What is Ethical AI. This includes systems based on AI and ML.

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6 tough AI discussions every IT leader must have

CIO Business Intelligence

Few technologies have provoked the same amount of discussion and debate as artificial intelligence, with workers, high-profile executives, and world leaders waffling between praise and fears over AI. IT leaders say they’re discussing everything from the costs of AI implementations to whether AI is the existential threat to humanity some fear.

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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem. Agreeing on metrics.

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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Artificial intelligence (AI) is transforming society, including the very character of national security. However, the roadblocks to scaling, adopting, and realizing the full potential of AI in the DoD are similar to those in the private sector. These are table stakes for the DoD or any government agency.

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