"How Immigration and Federal Funding Sustain American AI Leadership," by @NurAhmedB (@UArkansas) and Mehedi Mahmud Kaushik (@IUIndianapolis), challenges the notion that U.S. AI leadership is due to its leading firms' capital resources and computing scale. bit.ly/4zJZ6fk
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"A New Era for Inside Risks," by Nancy Leveson (@MIT), who is taking over #CACMmag's Inside Risks, describes the column's evolution and future. bit.ly/4yBtUhk
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"AI Finds its Way Into Backcountry Search and Rescue," by Karen Emslie/@DamnRebelBitch, describes how AI is transforming search and #rescue, and also enabling non-tech rescuers to build bespoke solutions for their teams. bit.ly/4ySQLWC
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"Teaching Novice Computing and Programming in the Agentic AI Era," by @BrownCSDept's @KathiFisler, @ShriramKMurthi, and @mlittmancs, says #computing #education curricula should embrace #agenticAI while helping students learn what they need to develop code. bit.ly/4zKTb9W
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"The Many Lives of ELIZA," by Alex Wright, describes a multiyear research effort that's shed new light on the origins of #ELIZA, the fabled proto #chatbot that forever changed the way #humans communicate with machines. bit.ly/3WerN5x
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"AI and Communications of the ACM," by Editor-in-Chief @JamesLarus, offers some promises and words of advice to authors who submit articles written with AI. bit.ly/4k0VxN1
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"Are Chatbots Self-Aware?," by Sandrine Ceurstemont (@purplesasa), says #researchers are trying to determine if chatbots powered by LLMs are aware of behaviors they have learned. bit.ly/4yjnKCl
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Margaret Hamilton said she and #developers were forced to be pioneers when they wrote software for the Apollo space program. See "In Memoriam: Margaret Hamilton (1936-2026)" by John Delaney: bit.ly/4ebRjhY
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"Web Scraping as Illegal Circumvention?," by @PamelaSamuelson (@UCBerkeley), says a new enclosure movement could close off the open #Internet where publicly accessible data is free for everyone. bit.ly/3WsUKL2
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"Scalable and Personalized Oral Assessments Using Voice AI," by Panos @ipeirotis (@NYUStern) and Konstantinos Rizakos (@NICECompliance), offers five practical engineering lessons that surfaced in the deployment of a voice AI assessment system. bit.ly/47gQWPq
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"‘MVPs Considered Harmful’ Considered Harmful," by Maximilian Speicher, says the solution to minimum viable product (MVP) failure issues is better organizational processes and shared understanding. bit.ly/4yA4MIC
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"How Human Approvals Make AI Agents More Autonomous," by Kate Liapun, says approval checkpoints that gauge an agent's path lead to complete results in fewer turns, on @blogCACM, bit.ly/4ASItzD
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"Working on AI and Technology Policy in the U.S. Senate" by @cynthiablee, Serena Booth, @cryptolisbeth, Eoghan Stafford, Rebecca L. Voglewede, and @marsdancer, describe their experiences serving the U.S. #Senate as technical experts between 2023 and 2025. bit.ly/4elNTJv
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"AI Helps Scholars See a Clearer Past," by Samuel Greengard, says AI models can restore, date, and geographically place ancient inscriptions, driving discoveries that were previously beyond the reach of man or machine. bit.ly/4j5AWqH
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Designs should allow for recovery from an autonomous agent failure so that a mistake is not irreversible, write Tanmay Sah and Dolly Sah in "AI Agents Need an Undo Button" at @blogCACM. bit.ly/4zb8PLf
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"Toward a Theory of Data Ecology," by @raulcfernandez (@UChicago), introduces an analytical model that characterizes how a given allocation of #data produces system-level effects in an #ecosystem. bit.ly/4ysP2al
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"Ensuring Epistemic Security in AI-Driven Cyber Investigations," by Eoghan Casey, describes a pressing need for systematic and efficient approaches to codifying and reusing existing #cyber #investigation expertise to ensure accurate forensic findings. bit.ly/4rI16BP
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"Instruction Set Migration at Warehouse Scale," by @echristo (@Google) et al., looks at how Google migrated a multibillion-line codebase from x86 to Arm, bit.ly/4rJnzyC, in the October 2026 CACM, bit.ly/4xX4OJt
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LLMs based on publicly available data have limited effectiveness without a context layer for industrial or enterprise settings, writes @EstherShein in "AI Puts Relevance in Context," bit.ly/4hWVJLO
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