All-seeing algorithms: Building ethics into artificial intelligence systems

Artificial intelligence and computer science researchers say getting machines to do the right thing has turned out to be relatively easy. They get the task right. But getting machines to do the right thing — the ethical thing — now that’s a different problem.

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AI Across the Curriculum

Boldly Fueling the Fourth Industrial Revolution

Artificial intelligence is more than just the next wave of high-tech. It is transforming nearly every sector of the economy. Using AI to analyze massive amounts of data has dramatically affected communications, accounting, finance, transportation, medicine, agriculture, and more.

The University of Florida is making artificial intelligence the centerpiece of a major, long-term initiative that is combining world-class research infrastructure, cutting-edge research, and a transformational approach to curriculum. Its depth is making the university a leader in AI research and development; its breadth will make sure every UF student develops a basic competency in AI regardless of their field of study.

AI at UF: FAR-REACHING IMPACT

The University of Florida’s AI initiative will make UF a national leader in AI and have far-reaching impacts for the university and its students and faculty. Equally important, it will play a crucial role in the transformation of Florida’s economy into a diversified, technology-driven, high-wage economy.

FOR FLORIDA

Building future economic growth

FOR THE UNIVERSITY

Emerging as a national leader in AI development and application

FOR OUR GRADUATES

Creating Opportunities for our Students

OUR PARTNER

The centerpiece of this initiative is the most powerful university-owned supercomputer in the U.S. which is made possible by the generosity of NVIDIA and NVIDIA co-founder and UF alumnus Chris Malachowsky. 

NVIDIA is the world leader in the development of processors that were originally designed for displaying realistic graphics. These processors are called GPU for graphics processor units. It was then found that these GPUs are also great for advanced scientific simulation and more recently that they are even better at performing the computing for AI tools and algorithms. 

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