Advancing Trustworthy, Secure, and Ethical AI for Public Systems.
Dover, Delaware
The AI Research Center (TAIRC) is an independent, nonprofit research organization advancing trustworthy, safe, and societally beneficial artificial intelligence. We pursue foundational and applied AI research that empowers public systems, informs policy, and accelerates responsible innovation across sectors. Our mission is to generate high-impact AI insights, frameworks, and tools that support ethical governance, public infrastructure, and government and community use cases. TAIRC convenes interdisciplinary expertise in AI safety, policy, ethical governance, and technical innovation to address complex challenges from AI risk mitigation to transparent, equitable AI deployment. Anchored in rigorous research methods and collaborative inquiry, TAIRC bridges academia, government, and industry to advance AI science and public good initiatives. Our work emphasizes open research standards, interdisciplinary peer review, and practical solutions that align with national research priorities and societal needs. Whether contributing to foundational model evaluation, trustworthy AI frameworks, or public sector adoption strategies, TAIRC is dedicated to ensuring AI technologies deliver positive, measurable impact for people and communities worldwide. Interested in contributing to TAIRC? careers@tairc.com - For career, internship, volunteer, and research opportunities.
On-site · Niagara-on-the-Lake
Advise on privacy laws and compliance, develop data protection policies and programs, assess project privacy risks, and draft or review privacy provisions in contracts. Support breach response and communications with regulators, represent the organization in regulatory matters, and monitor changes in privacy laws.
On-site · Niagara-on-the-Lake
Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.
On-site · Legal
Develop responsible AI governance frameworks and assess technical and societal risks, working with researchers to mitigate them. Oversee ethics and compliance programs, coordinate with legal teams, train staff, and define and report responsible AI performance metrics.
