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UVA professor receives OpenAI grant to inform next-generation AI systems

UVA professor receives OpenAI grant to inform next-generation AI systems
2024-09-18
(Press-News.org) Superintelligence — AI systems that surpass human intelligence — could be just a decade away, raising urgent questions about how to ensure their safety and alignment with human values, according to OpenAI. 

These AI systems could be hugely beneficial, but more sophisticated systems create the possibility for unpredictability. Misinterpreting human values or intent, algorithmic biases and security risks are all cause for concern, especially with highly developed AI systems where the potential consequences are far greater.

Yu Meng, assistant professor of computer science at the University of Virginia School of Engineering and Applied Science, will soon undertake a project to help prepare for this future. 

Enhancing AI Training for a Safer, Smarter Future

While AI models are rapidly progressing, training these models continues to pose challenges. Meng’s research will aim to advance the training methodologies researchers rely on, making them more effective for superintelligent systems. 

Training AI effectively is crucial for ensuring that these systems can learn, adapt and operate in ways that minimize risks and maximize benefits for society.

"Our research tackles the pressing challenges of AI alignment as we approach the era of superintelligence,” said Meng. “We aim to innovate new training methods essential for building superintelligent systems that are both safe and beneficial.” 

“Beyond advancing AI capabilities, we are dedicated to ensuring that rapidly evolving AI systems remain aligned with human values and intentions. By doing so, we are helping to shape a future where superintelligent AI serves to enhance humanity rather than threatens it."

Helping AI Learn from Imperfect and Evolving Data

Part of the project will investigate how researchers can help AI learn better when using data that is incomplete, ambiguous or labeled inconsistently. Real-world human supervision is often imperfect, and AI systems are not always capable of accurately extrapolating information. Meng plans to test different techniques to help AI understand what information is important, despite the noise, ultimately making AI models more reliable, less biased and more accurate. 

Additionally, the project will seek to understand how AI training should change as our knowledge grows. With information constantly evolving, anticipating how training methodologies will need to adapt is essential. Failing to continually improve AI training can cause future systems to be stunted, resulting in unreliable models and more errors. 

A New Take on Train the Trainer

There’s also a possibility future AI models may be able to train other AI. To better understand this potential, the team will also compare the effectiveness of training data from humans to training data created by AI. At some point, AI models may become advanced enough to provide guidance similar to humans. 

Meng’s work is supported by a $200,000 Superalignment Fast Grant from OpenAI. The competitive funding program targets projects that aim to build next-generation superhuman AI systems. This year, only 50 proposals out of a total of 2,700 were funded. 

About UVA Engineering: As part of the top-ranked, comprehensive University of Virginia, UVA Engineering is one of the nation’s oldest and most respected engineering schools. Our mission is to make the world a better place by creating and disseminating knowledge and by preparing future engineering leaders. Outstanding students and faculty from around the world choose UVA Engineering because of our growing and internationally recognized education and research programs. UVA is the No. 1 public engineering school in the country for the percentage of women graduates, among schools with at least 75 degree earners; among the top engineering schools in the United States for the four-year graduation rate of undergraduate students; and among the top-growing public engineering schools in the country for the rate of Ph.D. enrollment growth. Our research program has grown by 95% since 2016. Learn more at engineering.virginia.edu.

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UVA professor receives OpenAI grant to inform next-generation AI systems

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[Press-News.org] UVA professor receives OpenAI grant to inform next-generation AI systems