Digital Safety

Independent AI safety assessment research

The Digital Safety Research Institute prevents harm and saves lives through independent AI safety research and engineering, developing methodologies, tools, and infrastructure to assess AI systems as technology evolves. Through research, open-source tools, partnerships, and education, the institute advances a scalable ecosystem for monitoring and mitigating risks associated with artificial intelligence.

Discover how our researchers are working to reduce AI risks and discover more Stories of Impact from all of our research institutes.

agile ai assessments - UL Research Institutes

Agile AI assessments:

Research methods that help evaluators assess AI systems quickly and effectively.

safety focused research - UL Research Institutes

Safety-focused research:

Developing tools to identify harmful, unsafe, and misleading AI outputs.

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Open-source innovation:

Publishing assessment platforms and tools for broad community adoption.

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Evaluation partnerships:

Collaborating with assessment organizations to scale AI safety testing.

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Research challenges:

Competitive evaluations that accelerate breakthroughs in AI safety, media integrity, and risk assessment.

Building the Future of AI Safety Evaluation

The Digital Safety Research Institute combines scientific research, engineering, and collaboration to create practical AI safety assessment capabilities. Its work helps researchers, evaluators, policymakers, and organizations better understand and manage emerging AI risks. 

Open scientific contributions

The Digital Safety Research Institute advances AI safety assessment research through scientific publications, research challenges, grants, and community engagement that shape the future of trustworthy AI evaluation. 

Assessment tools for adoption

The Digital Safety Research Institute develops and shares open-source tools that organizations can use, assess, adapt, and integrate into their own AI safety evaluation programs. 


Digital Safety Key Research Areas

AI chatbot safety assessment

The Digital Safety Research Institute develops verification and moderation methodologies that help determine whether AI chatbots respond correctly, safely, and reliably to user prompts. The research supports scalable testing of conversational AI systems and their outputs. 

stakeholder education - UL Research Institutes

AI-generated media analysis

The Digital Safety Research Institute creates methodologies and tools to identify indications that media has been generated or edited by artificial intelligence. This work supports the detection of manipulated content and strengthens trust in digital information. 

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Agentic AI evaluation

The Digital Safety Research Institute is advancing future capabilities for creating, verifying, and validating AI agents. The goal is to improve assessment accuracy and accelerate the pace of AI safety evaluations as autonomous systems become more common. 

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AI risk intelligence & education

The Digital Safety Research Institute supports AI risk assessments, stakeholder education, and research infrastructure that enable organizations to better understand evolving AI threats and deploy safer technologies. 

ai risk intelligence - UL Research Institutes

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