Center of Safe and Responsible AI

At CARE, our mission is to ensure AI systems are designed and used in ways that maximize safety and societal benefit while minimizing risks. We bring together leading researchers to address the trustworthiness, ethical, and societal implications of AI technologies.

Our Vision for Safe and Responsible AI

We envision a future where AI technologies are designed, implemented, and regulated in a manner that maximizes benefits while minimizing potential risks and harm.

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Unified Risk Assessment

Developing comprehensive evaluation algorithms and platforms for existing AI models and systems to identify potential safety issues.

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Safety Enhancement

Creating innovative algorithms and models designed specifically to improve the safety of next-generation AI systems.

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Theoretical Guarantees

Establishing mathematical foundations and formal guarantees for AI safety, such as conformal risk upper bounds.

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Bo Li
"As AI systems become more capable and are deployed in high-stakes domains, it is crucial that they behave safely, reliably, and beneficially. Our center brings together diverse perspectives from academia, industry, and society to shape AI development in a manner that is transparent, accountable, and socially responsible."

Bo Li

Director, Center of Safe and Responsible AI

University of Illinois at Urbana-Champaign

CARE's Research Pillars

CARE focuses on seven key interdisciplinary research areas

AI Safety + Science

Building unified evaluation platforms for AI4Science models in collaboration with national labs and research centers, ensuring safe application in scientific domains.

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AI Safety + Data/Computing

Developing secure, reliable, and efficient AI systems with robust data integrity, computational reliability, and resistance to adversarial threats.

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AI Safety + Algorithms

Creating fundamental principles and methodologies to ensure AI systems operate safely and predictably with strong theoretical foundations.

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AI Safety + Medicine

Optimizing trustworthy models for healthcare applications with transparency and interoperability to ground predictions in this safety-critical domain.

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AI Safety + Economics

Proposing novel mechanism designs and risk assessments for AI in economic activities, ensuring sustainable and beneficial economic impacts.

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AI Safety + Law/Policy

Exploring regulatory frameworks, participatory governance, and ethical guidelines to ensure responsible AI development and deployment.

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AI Safety + Social Good

Leveraging AI to address critical social challenges while promoting equity, inclusivity, and accessibility, particularly for marginalized communities.

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Join Us in Shaping the Future of AI Safety

We're building a community of researchers, industry partners, and policymakers committed to ensuring AI benefits humanity. Get involved through our events, partnerships, or research collaborations.

Our Partners & Collaborators