AI News, There's a long history of artificial intelligence programs that try to ... artificial intelligence

Center for the Governance of AI - Future of Humanity Institute

The Center for the Governance of AI, housed at the Future of Humanity Institute, University of Oxford, strives to help humanity capture the benefits and mitigate the risks of artificial intelligence.

The Center seeks to guide the development of AI for the common good by conducting research on important and neglected issues of AI governance, and advising decision makers on this research through policy engagement.

The Center produces research which is foundational to the field of AI governance, for example mapping crucial considerations to direct the research agenda, or identifying distinctive features of the transition to transformative AI and corresponding policy considerations.

NASA’s next Mars rover will use AI to be a better science partner

While more recent rovers have had the capability of recognizing hazards and performing some tasks autonomously, they've still placed great demands on their support teams.

Chien sees AI's future role in the human spaceflight program as one in which humans focus on the hard parts, like directing robots in a natural way while the machines operate autonomously and give the humans a high-level summary.

While much of that machine learning involved spacecraft data sent back to Earth for processing, there's a good reason to put more intelligence directly on the spacecraft: to help manage the volume of communications.

One of the AI systems tested aboard EO-1 was the Autonomous Sciencecraft Experiment (ASE), a set of software that allowed the satellite to make decisions based on data collected by its imaging sensors.

ASE included onboard science algorithms that performed image data analysis to detect trigger conditions to make the spacecraft pay more attention to something, such as interesting features discovered or changes relative to previous observations.

For example, scientists might set the following policy: if the spacecraft spots a thermal emission that is above two megawatts, the spacecraft should keep observing it on the next overflight.

The AI software aboard the spacecraft already knows when it's going to overfly the emission next, so it calculates how much space is required for the observation on the solid-state recorder as well as all the other variables required for the next pass.

'When you plan to take a picture of this volcano at 10am, you pretty much take a picture of the volcano at 10am, because it's very easy to predict,' Chien continued.

Army AI Task Force Comes To Pittsburgh, c/o CMU

The task force will use CMU as a hub to reach out to academia and civilian industry, Murray said, as well as coordinating existing Army AI efforts, starting new experiments, and reforming bureaucratic policies that impede innovation.

Reaching out beyond its comfort zone of the Pentagon, big military installations, and traditional defense contractors, the Army hopes to embed its officers, scientists, and civil servants in a wider world of civilian innovation, where hoodies are more in vogue than uniforms.

“We didn’t want to just continue our normal process of having a little bit of money scattered across a large number of universities, so we’re trying to get a focused effort at a few key universities around the country,”

Even if resources were abundant, there’s also a case for keeping the Army’s footprint light and unobstrusive, rather than trying to flood the zone with soldiers and bureaucrats —

Easeley’s answer: It’s that the Army has broken open its organization for the first time in 40 years and created a new top-level command, led by a four-star general, that’s specifically dedicated to modernization and which brings together expertise to do it that was formerly scattered across the bureaucracy.

Murray is the four-star in question, it’s worth reproducing his remarks this morning at some length (my transcription, checked against audio): “Many of the military artificial intelligence solutions that uniformed leaders are so excited about are just new applications of AI tools that have been in the hands of the private sector and private citizens for the last decade or so.

In the coming months, they will identify existing and ongoing machine learning initiatives within the Army, as well a framework for implementing small projects that can evolve or combine into something much larger.

“The Task Force will establish an Army AI testbed and will review policies that could inhibit machine learning, deep, learning, and automation, and perhaps most importantly … they will develop a talent management plan to enable the Army to hire, develop, and retain the necessary skill sets to support AI development well into the future.”

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