ACM Transitions to Full Open Access
ACM is pleased to share an important milestone for the computing field. Beginning January 2026, all ACM publications and related artifacts in the ACM Digital Library will be made open access. This change reflects the long-standing and growing call across the global computing community for research to be more accessible, more discoverable and more reusable.
This transition is the result of extensive dialogue with authors, SIG leaders, editorial boards, libraries and research institutions worldwide. ACM is grateful for the community’s consistent advocacy for openness and its commitment to ensuring that computing knowledge is shared widely. Learn more about ACM Open Access here.
ACM Names 2024 Distinguished Members
ACM has named 61 Distinguished Members for significant contributions. All of the 2025 inductees are longstanding ACM Members and were selected by their peers for work that has advanced computing, fostered innovation across various fields and improved computer science education.
The 2025 ACM Distinguished Members are cited for contributions in a wide range of computing research areas including AI for healthcare, computing education, data management, human-computer interaction, mobile computing, networked systems, security, software, sustainability and numerous other areas.
The ACM Distinguished Member program recognises up to 10 per cent of ACM worldwide membership based on professional experience and significant achievements in the computing field. To be nominated, a candidate must have at least 15 years of professional experience in the computing field, five years of Professional ACM Membership in the last 10 years and must have achieved a significant level of accomplishment or made a significant impact in the field of computing. A Distinguished Member is expected to have served as a mentor and role model by guiding technical career development and contributing to the field beyond the norm.
ACM TechTalk: Mark Russinovich
View the recent ACM Techtalk (register to view on demand), “A Look at AI Security with Mark Russinovich,” presented by Mark Russinovich, CTO, Deputy CISO, and Technical Fellow for Microsoft Azure
Join Russinovich as he explores the evolving landscape of generative AI risks and safeguards, with a focus on large language models. He takes a close look at three fundamental vulnerabilities inherent in these systems – hallucination, indirect prompt injection and jailbreaks (or direct prompt injection) – examining where they come from, how they can impact systems and users and what strategies exist to mitigate them. He also explores how to harness the immense potential of LLMs while responsibly managing the risks that come with them.
ACM ByteCast: Russ Cox
In this episode of ACM ByteCast, Bruke Kifle hosts Russ Cox, Distinguished Engineer at Google. Previously, he was the Go language technical lead at Google, where he led the development of Go for more than a decade, with a particular focus on improving the security and reliability of using software dependencies. With Jeff Dean, he created Google Code Search, which let developers grep the world’s public source code. He also worked for many years on the Plan 9 operating system from Bell Labs and holds degrees from Harvard and MIT. Russ is a member of the ACM Queue Editorial Board.
Cox details his journey from the Commodore 64 to Bell Labs, where he met Rob Pike (a co-designer of Go) and contributed to Plan 9 working alongside other legendary figures. He shares lessons learned while working on Google Code Search and how that informed his later approach to the development and evolution of Go. He delves into the role of Go in the AI era. discusses the open-source community and collaboration around Go, touches on mentorship and leadership, and offers advice for aspiring builders.
Featured ACM Member: Sorelle Friedler
Sorelle Friedler is the Shibulal Family Professor of Computer Science at Haverford College and a Nonresident Senior Fellow at the Brookings Institution. The core focus of her work is the fairness, accountability and transparency of machine learning. During her tenure as Assistant Director for Data and Democracy in the White Office of Science and Technology Policy, she co-authored the Blueprint for an AI Bill of Rights.
Friedler was also a co-founder of the ACM Conference on Fairness, Accountability and Transparency (ACM FAccT) and was recently named Chair of the ACM US Technology Committee (USTPC). USTPC comprises more than 170 members and serves as the focal point for ACM’s interaction with the US government, the computing community and the public on policy matters.
In her interview, she discusses the fairness and transparency of AI algorithms, abstraction as a basic building block of computer science, how emerging AI technologies present new challenges to AI responsibility efforts and more.