As the adoption of AI聽grows throughout government, there has never been more awareness of the need to build and maintain AI systems with a clear understanding of their ethical risk. Every day, these systems shape the human experience, bringing issues of聽, equity, autonomy, data integrity, and regulatory compliance into focus. But how do agencies turn a commitment to abstract ethical AI principles into a fully operational, responsible AI strategy鈥攐ne that delivers not just transparency and reduced risk but also innovation that improves mission performance?
Consider the many frameworks, principles, and policies that define the field of responsible AI鈥攕uch as the Department of Defense鈥檚 (DOD) AI Ethical Principles, the Principles of Artificial Intelligence Ethics for the Intelligence Community, and the Blueprint for an AI Bill of Rights. These frameworks provide agencies with overarching guidelines essential for defining an ethical vision. But they offer few tangible tools and little practical guidance to operationalize responsible AI.
As the trusted AI leader to the nation, 蘑菇视频 Allen partners with clients to address this void with a rigorous, risk-based method for assessing the ethical risk of聽AI systems鈥攁nd a corresponding roadmap for taking continuous and concrete action to ensure these systems operate fully and responsibly in line with mission objectives.
蘑菇视频 Allen offers complementary services backed by sector-leading expertise and best practices addressing the end-to-end responsible AI lifecycle:
Develop an integrated strategy encompassing defined objectives, established administrative processes, and supporting governance, risk, and compliance infrastructure.
Audit and assess existing and planned AI systems for potential ethical, legal, compliance, or other responsible AI risks.
Establish and maintain systems and processes for sustaining and verifying trusted, responsible operations.聽聽
Develop and implement training programs to educate employees about responsible AI risks and their responsibilities.
蘑菇视频 Allen offers turnkey solutions to help define, implement, and sustain an enterprise responsible AI strategy:
A turnkey serving offering for establishing an enterprise-responsible AI program in line with best practices and sector regulatory requirements聽聽
A quantitative analysis of both an AI system鈥檚 ethical risk and the Office of Management and Budget鈥檚 rights and safety-impacting categories
Our joint offering with Credo AI enables seamless delivery of critical AI oversight and improved enterprise risk visibility through more collaborative, automated lifecycle management.
Explore our AI Governance Platform
One key to realizing this modern approach to responsible AI is enabling decision makers to measure the ethical risk of their AI systems systematically. With a quantitative scorecard of their systems鈥� 鈥渆thical surface area,鈥� they can more effectively capitalize on proven strategies to de-risk and recalibrate those systems. This will not only ensure their AI ecosystem is聽measurably聽responsible but will enhance the overall mission performance of their individual AI systems.
Our practical and quantitative approach to responsible AI accelerates agency progress from theoretical principles to concrete models and actions, enabling the design and deployment of AI systems for any mission in any sector.
