2023¶

January 11, 2023
in AI Governance, Operating Models, Knowledge Strategy
3 min read

Responsible AI needs an operating system

Google has opened the year by publishing its most detailed account yet of how it puts artificial intelligence principles into practice. The report covers governance reviews, technical tools, education, and work across product teams. Its value is not that Google has found a universal formula. It is that the report makes a less glamorous truth visible: responsible artificial intelligence (AI) is an operating problem.

Principles matter. They tell an organization what it is trying to protect. But principles do not decide whether a particular use should proceed, determine which test is sufficient, or preserve the evidence behind a difficult exception.

January 5, 2023
in Human-Centered AI, Robotics, Digital Engineering
3 min read

Simulation is becoming part of the robotics product

The robots drawing attention at this week's Consumer Electronics Show (CES) are physical machines, but much of their meaningful development is happening somewhere less visible. NVIDIA's latest Isaac Sim release expands the use of synthetic data, cloud access, and human representations for developing and testing intelligent robots before they enter a warehouse, factory, or other operating environment.

That is more than a faster way to prototype. It suggests that simulation is becoming part of the robotics product itself.