The use of the word “trustworthy” in relation to AI has sparked debate among policymakers and experts alike. This blog post explores different understandings of trustworthy AI among international actors, as well as challenges in establishing an international trustworthy AI consensus.

The Replicator effort by the U.S. Department of Defense (DoD) is intended to overcome some of the military challenges posed by China’s People’s Liberation Army (PLA). This blog post intends to both identify tradeoffs for the Department to consider as it charts the path for Replicator, and to provide a sense for the state of industry readiness to support.

Recent announcements from both Pentagon and Congressional leaders offer significant opportunity for rapidly delivering autonomous systems technology at-scale for U.S. Warfighters well into the future. Dr. Jaret Riddick, CSET Senior Fellow and former Principal Director for Autonomy in USD(R&E) offers his perspective on DOD’s Replicator Initiative and recent legislative proposals about DOD autonomy.

Collaborations between researchers and policymakers are necessary for progress, but can be challenging in practice. This blog post reports on recent discussions by privacy experts on the obstacles they face when engaging in the policy space and advice on how to improve these barriers.

On July 21, the White House announced voluntary commitments from seven AI firms to ensure safe, secure, and transparent AI. CSET’s research provides important context to this discussion.

With the rapid integration of AI into our daily lives, we must all learn when and whether to trust the technology, understand its capabilities and limitations, and adapt as these systems — and our functional relationships with them — evolve.

Recent discussions of AI have focused on safety, reliability, and other risks. Lost in this debate is the real need to secure AI against malicious actors. This blog post applies lessons from traditional cybersecurity to emerging AI-model risks.

The goal of this guide is to acquaint researchers and analysts with tools, resources, and best practices to ensure security when collecting or accessing open-source information.

The transfer of national security relevant technology—to peer competitors especially—is a well-documented problem and must be balanced with the benefits of free exchange. The following propositions covering six facets of the transfer issue reflect CSET’s current recommendations on the matter.

CSET and the Syracuse University Institute for Security Policy and Law hosted an October 2020 symposium to discuss AI policy issues facing lawyers, policymakers and technologists. This blog provides a summary of the discussion. A full report is attached.