Research Hub to Explore Safety and Equity in AI

A new research hub at Northwestern University will explore the impact of artificial intelligence systems and seek ways to better incorporate safety and equity into the technology. The Center for Advancing Safety of Machine Intelligence (CASMI) is supported by the Digital Intelligence Safety Research Institute (DISRI) at Underwriters Laboratories, which has committed $7 million over three years to the effort and will jointly lead the hub's research and operations in partnership with the university. The goal: to "bring together and coordinate a wide-ranging research network focused on maximizing machine learning's benefits while recognizing and averting potential negative effects," according to a news announcement.

Northwestern and Underwriters Laboratories have collaborated since 2020 to study machine learning's current and potential impacts on human health and safety, the organizations said. The CASMI research hub will build on that work and "refine a new framework to evaluate the impact of artificial intelligence technologies and devise new ways to responsibly design and develop these technologies."

In particular, CASMI and DISRI said they will develop connections and collaborations across multiple institutions and disciplines, in a distributed model designed to foster research in multiple areas related to machine learning and artificial intelligence. In the research hub's first year, the organizations plan to fund an initial set of research projects and start sharing results. In years two and three, they expect to expand the research as well as explore opportunities to connect the research network with industry partners.

"Artificial intelligence informed by machine learning is increasingly ubiquitous in our everyday lives," said Christopher J. Cramer, Underwriters Laboratories chief research officer and acting DISRI executive director, in a statement. "It's imperative we get it right. We must develop approaches and tests that will incorporate equity into machine learning and hold it to standards guided by both safety and ethical considerations. I'm terrifically excited about this partnership, which will foster research aimed at integrating safety into machine-learning and artificial intelligence design, development, and testing processes."

"Machine learning is among the most transformational forces in technology today, but we're only beginning as a society to genuinely understand and evaluate how it affects our lives," commented Kristian Hammond, CASMI executive director and Northwestern's Bill and Cathy Osborn professor of computer science. "Our partnership with Underwriters Laboratories will help us establish the clear understanding we need to develop these technologies safely and responsibly. Our goal is to go beyond platitudes and operationalize what it means for these technologies to be safe as they are used in the world."

For more information, visit the CASMI site.

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • Silhouettes of business professionals stand against a blurred futuristic city skyline at night, with a glowing digital network data connection

    It's Time for Higher Ed to Get Serious About AI Strategy

    Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.

  • Educational path and career development growth with neon icons for study, idea, graduation, and success

    How to Embrace Lifelong Learning as a Non-negotiable for Career Growth

    In a world shaped by rapid technological change and shifting economic forces, staying curious and committed to learning is the most powerful way to stay prepared.

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.