Gauging Societal Impacts of Large Language Models
NIST is testing LLMs in a scientific setting to determine their real-world effects.
Gauging Societal Impacts of Large Language Models
NIST is testing LLMs in a scientific setting to determine their real-world effects.
The Vulnerability-Adaptive Protection Paradigm
Resiliency solutions for autonomous machines make trade-offs between resiliency and cost.
Beyond Turing: Testing LLMs for Intelligence
Computer scientists have not developed a consensus on how to measure intelligence, or what exactly to measure.
Trustworthy AI Using Confidential Federated Learning
Classic federated learning emphasizes security and privacy, at the cost of transparency and accountability. Confidential Federated Learning addresses this gap.
An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities
While most CS departments in the U.S. require calculus, there is no consensus as to where in the degree program it should be placed.
Welcome: 2024 Regional Special Section, Latin America
When it comes to computer science, Latin American researchers have made significant contributions to multiple areas.
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond
Co-pilot is a useful metaphor for describing how AI technology is intended to act in relation to human users.
Gauging Societal Impacts of Large Language Models
NIST is testing LLMs in a scientific setting to determine their real-world effects.
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedBy opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
Learn More