How Does Generative AI Change the Algorithmic Fairness Problem?
In AI fairness, one size never fits all. With generative AI, one size may fit none, demanding fundamentally new approaches to evaluate and mitigate bias.
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Failure Is a Feature: Engineering Fault-Tolerant AI Agents
Treating LLM agents as distributed systems and borrowing 40 years of reliability engineering to make them work
Reliability, not capability, is the binding constraint on agents in production.
queue.acm.org/doi/10.1145/38…
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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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Now available for ACM Members: "Intelligent Networks and Systems: Advanced Technologies and Applications," edited by Nazmul Siddique (@UlsterUni), Mohammad Shamsul Arefin, Sheak Rashed Haider Noori (@daffodilvarsity), @mdshamimkaiser. This book explores... share.percipio.com/cd/72u5fW…
The Coding Philosopher
Out of My Other Mind
What would it take to convince us that an AI is conscious?
queue.acm.org/doi/10.1145/38…
Running an Agentic Threat Model
Workflow, abuse cases, and runtime controls
Helping security and engineering teams extend established threat-modeling practices to autonomous systems without relying on the AI model to enforce critical security boundaries
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CAFE(S): Your Agent Is Only As Good As Its Context
Even the latest models degrade when operating on unclear inputs. We present CAFE(S), a framework that evaluates context across five dimensions: clarity, actionability, fidelity, efficiency, and security
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Now available for ACM Members: "Game Development Concepts in C++: Elevate Your Skills with Unreal Engine," by Sheikh Sohel Moon. Understand detailed scenarios that demonstrate how each mechanic is applied in real-world game dev projects. Utilize ready... share.percipio.com/cd/3voyRX…
Finding the Real Bottleneck in Large-Scale ML Training
Real efficiency requires fixing the underlying systems
In production training clusters, actual model execution frequently consumes only half of an accelerator’s theoretical capacity
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Now available for ACM Members: "Learn Docker in a Month of Lunches, Second Edition," by @EltonStoneman. @Docker in 22 short lessons, w/new coverage of multi-platform builds, cloud container services, replatforming legacy Windows apps, & @kubernetesio. share.percipio.com/cd/ST7NUP…
Signs of a Brewing Crisis
Crises have the destabilizing power to shift incentives and invert power structures
Identifying these circumstances allows operators and engineers to anticipate opportunities when adaptive resilience will be required
queue.acm.org/doi/10.1145/38…
What’s in Your Software Repair Kit?
The things you wish you had before a crisis
You can’t prevent or predict the next systems meltdown. But you can build resilience into your systems and organization before the next crisis strikes.
queue.acm.org/doi/10.1145/38…
#Data Architectures in the Age of #AI
Business semantics must be machine readable and continuously synchronized
Federation must become the default for operational workflows
Governance must shift from controlling access to governing autonomous behavior
queue.acm.org/doi/10.1145/38…
How CHERIoT Provides Strong and Able Isolation Without an MMU
Co-design of hardware and software offers stronger security and ease of use
CHERIoT is optimized for small devices but showcases what is possible at any scale if you start by assuming CHERI.
queue.acm.org/doi/10.1145/38…
Kode Vicious
When You Wish Upon a Prompt
Relying on an LLM doesn’t teach how to write code
Today’s students must be taught not how to spot an errant asterisk, but how all the components of a system work together.
queue.acm.org/doi/10.1145/38…
@kode_vicious
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Now available for ACM Members: "Modern C: Covers the C23 standard, Third Edition," by Jens Gustedt (@Inria). C powers programs that need to be small, fast, & reliable, whether you’re writing embedded code, low-level system routines, or high-performance... share.percipio.com/cd/aTEjNB…
Arithmetic Without Numbers
What happens inside an LLM when it tries to calculate with nothing but matrices
How does a large language model do arithmetic when all it has are matrices—no fingers, no scratch paper, no columns of digits?
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Too Many DevEx Metrics, Too Little Guidance
DevEx Metrics Compass: making sense of developer experience measurement
As AI-augmented development becomes standard practice, engineering leaders face mounting pressure to demonstrate its impact.
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In this week’s People of ACM, Russ Cox, who was the technical lead at the Go programming language for over a decade, gives us a behind-the-scenes look at the popular programming environment. Read the full interview here: buff.ly/O2wlgeg
The Challenge of Efficiency Versus Isolation:
Distributed systems lessons from serving inference
The mechanisms that make production inference affordable are the same ones that dissolve the isolation and recovery guarantees built over two decades.
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