Trusted AI/ML
We deliver trusted artificial intelligence and machine learning (AI/ML) solutions that provide real and immediate value. Our cutting-edge technology makes AI/ML algorithms trustworthy, resilient, and secure. When combined with tools that provide transparency and eliminate bias, we offer mission-focused AI/ML solutions that are trusted and valued by customers and built on our deep experience. Over our decade of experience building Artificial Intelligence, we've developed a state-of-the-art framework designed to ensure that AI can be a trusted partner for secure technology at the scale and speed of the advancing world.
Artificial Intelligence Must be Trusted Before it Can be Leveraged
Government leaders should urgently take steps toward instituting robust and repeatable processes for developing trusted AI.
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Building Trust in AI
AI technology is rapidly advancing and the capabilities and ongoing projects continue to expand at an astounding rate. But the faster the tech grows, the faster human trust in the tech needs to grow. Leidos is working to not only build AI humans can trust but also exemplify why humans should trust it. Ron Keesing, senior vice president for technology integration and Tifani O'Brien, lead for the AI and Machine Learning Accelerator join the MindSET podcast to walk us through how they're doing that and the challenges they face.
Framework for AI Resilience and Security (FAIRS)
Our Framework for AI Resilience and Security (FAIRS) addresses AI vulnerabilities and leans forward in compliance/regulations that are on the horizon by increasing trust in technologies and encouraging responsibility across our stakeholders.
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Trusted AI for IT Modernization, Automation, and Security
As Federal agencies undergo IT modernization, they confront unique challenges, including the added complexity of multiple physical locations managing IT and cybersecurity functions in silos. New initiatives aim to develop enterprise cybersecurity models to increase safety, security, and effectiveness while reducing costs.
Challenges and Success in Applying Trusted AI
Ron Keesing, SVP Technology Integration, discusses how our AI accelerator is leading the way in Generative AI and large language model technology.
AI Predicts The Aggressiveness Of A Childhood Cancer
By training computer models to assess pathology images of rhabdomyosarcoma tumors, researchers hope to help doctors better tailor treatments to patients. Researchers at the Frederick National Laboratory for Cancer Research and the National Cancer Institute developed an artificial intelligence-based system that can anticipate the severity of cases of a childhood cancer using histopathologic images of tumors.
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