In this episode of ACM ByteCast, Rashmi Mohan hosts 2025 ACM Fellow Cynthia Rudin, the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics and Bioinformatics at Duke University, where she leads the Interpretable Machine Learning Lab. Her lab, which seeks to design predictive ML models that people can understand, focuses on areas including healthcare, criminal justice, and energy reliability. Among her honors, she has received the Squirrel Award for Artificial Intelligence from the Association for the Advancement of Artificial Intelligence (AAAI), as well as the IJCAI John McCarthy Award. Rudin was recently named an ACM Fellow for contributions to and leadership in interpretable machine learning and societal applications.

Register now for the upcoming ACM TechTalk, "The Untapped Business Potential of Small Language Models," presented on Thursday, June 25 at 12:00 pm ET/16:00 UTC by Guglielmo Iozzia, Director of Machine Learning/AI and Applied Mathematics at MSD. Riccardo Mattivi, Senior Staff AI Engineer at Integral Ad Science, will moderate the Q&A session. Leave your comments and questions with our speaker now and any time before the live event on ACM's Discourse Page. And check out the page after the webcast for extended discussion with your peers in the computing community, as well as further resources on small language models and more.

This Aspire Journey includes interactive content from Codecademy.

On today's web, performance isn't just a nice-to-have—it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness.

Large language models (LLMs) have become pivotal in advancing AI applications across industries, yet their growing adoption introduces unique security challenges. This course covers critical aspects of LLM security by exploring the architecture and generative AI principles that underpin these models. In this course, explore the fundamentals of LLMs, their enterprise relevance, the common security threats they face, and historical incidents that have shaped current practices. Next, discover the key concepts and terminology related to LLM security. Finally, learn about agentic AI, tool calling risks, and response mechanisms, including the risks posed by agentic AI actions. After completing this course, you will be able to apply foundational safeguards to secure LLM deployments.

View the panel webinar "Integrating the Ethical and Societal Impacts of GenAI in the Classroom," presented by the ACM Education Board Task Force on the Ethical and Social Impacts of Generative AI in Higher Education.

View the recent ACM TechTalk, "Inside an LLM Agent: A From-Scratch Walkthrough," presented by Val Andrei Fajardo, AI Engineering and Research Lead at Carlyle. Garcia Liang, Principal Machine Learning Scientist at Integrate AI, moderated the Q&A session. Continue the discussion on ACM's Discourse Page.

View the recent ACM TechTalk, "Software Verification in the Age of Artificial Intelligence," presented by Bertrand Meyer, Professor at ETH Zurich and CTO of Eiffel Software and Recognyze AI. ACM SIGSOFT Special Projects Coordinator Will Tracz moderated the Q&A session. Continue the discussion on ACM's Discourse Page.

View the recent ACM TechTalk, "Toward a Quantum-Native Internet: From Architecture to Protocol Organization," presented by Angela Sara Cacciapuoti, Professor of Quantum Communications and Networks at the University of Naples Federico II (Italy). ACM Distinguished Member Rajkumar Kettimuthu, Senior Scientist and Group Leader, Argonne National Laboratory, moderated the Q&A session. Continue the discussion on ACM's Discourse Page.

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.

The Distinguished Speakers Program (DSP) is one of ACM's most valued outreach programs, providing universities, corporations, event and conference planners, and local ACM chapters with direct access to top technology leaders and innovators from nearly every sector of the computing industry. ACM will cover the cost of transportation for the speaker to travel to your event.