AI Agent Memory In Production: What Breaks At Scale And How Teams Are Solving It
The failure modes of ai agent memory are predictable, well-documented, and solvable, but only if architecture decisions get made deliberately ...
Reporting on AI risk: safety, security, bias, copyright, geopolitics and governance.
The failure modes of ai agent memory are predictable, well-documented, and solvable, but only if architecture decisions get made deliberately ...
Shorts Apple's canceled car project revolutionized AI chip design despite failure . Discover how this setback created breakthroughs that power ...
Starbucks' massive AI supply chain failure highlights a common pitfall: overpromising without the groundwork. Technology alone isn't enough; ...
Most AI agents that fail in production were built by smart teams using capable models. The failure was not in the intelligence of the LLM.
... bias . Almost two-thirds of survey respondents said they wanted these AI platforms to shop for their “idealised self”, supporting goals such as ...
Wald's insight became a classic example of survivorship bias : the error of drawing conclusions from what is visible while overlooking what has ...
Yale researchers uncovered a shocking truth about AI bias : a machine learning model trained to predict surgery survival rates secretly learned to ...
An AI bias audit for HR and recruitment is no longer a nice-to-have — in New York City it is the law, and the fines run per day.
Bias & FairnessRegulation & PolicyGovernance & Risk ManagementGovernment & Public Sector
Why "a human makes the final decision" often fails: automation bias , rubber-stamping, and how to build meaningful AI oversight.
Bias & FairnessGovernance & Risk ManagementAI Agents & Automation
A US court has allowed Meta to proceed with layoffs affecting employees who claim they were unfairly targeted due to AI biases related to ...
Learn what data bias is, where it enters AI systems, and how governance controls like lineage, masking, and monitoring reduce bias risk.
Powered bywhtvr. ai . Iran is entering the most critical weeks of summer ... The risks extend well beyond the power sector. Electricity ...
Deepfake-related risks are among the top three concerns ranked by experts when evaluating the impacts of artificial intelligence ( AI ) application ...
These risks are not only individual or technical, they are also structural and sociopolitical. Generative AI tools often enter educational settings ...
The reporting, by journalist Desmond Cole, examined the Security Assessment for Evaluating Risk (SAFER) tool, which has been used in Ontario jails ...
A major Brookings Institute study of more than 500 students and educators across 50 countries found the risks of AI in the classroom “overshadow ...
The system, known as CardiOmicScore, uses information from a single blood test to estimate a person's future risk of six major cardiovascular diseases ...
Unique risks include "Techno-Emotional Projection," where users offload thinking and project emotional needs onto AI , and "cognitive miserliness." ...
... AI services, adding new subprocessors and terms," explained Krishnan. "So someone concerned about AI risks who has evaluated Claude may not be ...
From political spending efforts at OpenAI to the departure of senior staff at other firms, the divide over how to handle the potential risks of AI is ...
CEOs who cut entry-level jobs risk long-term fallout, warns MIT's Andrew McAfee—as IBM and Salesforce double down on Gen Z talent.
According to Common Sense Media's report, AI Overviews and Google's new Search chatbot AI Mode could also pose mental health and safety risks to ...
EducationAI Safety & Existential RiskHealthcareChatbots & LLMs
If you're turning to AI at work to "outsource critical thinking," you risk falling behind and starting to sound like everyone else, said Sandra Matz, ...
Kalshi prediction markets show traders betting on Anthropic to IPO before OpenAI, with significant volume in AI and geopolitical futures.
Common AI Failure Modes. To address these challenges, Kolan highlights four common failure modes in AI systems: Poisoning: A hallucinated fact ...
New research reveals public discussion interfaces enable web-scale language model pretraining poisoning, with 'HalfLife' analysis quantifying the ...
Thiyagarajan Maruthavanan argues that the high and unpredictable costs of rented AI inference, coupled with control and auditability issues, ...
Kathryn Grayson Nanz of Progress Software discusses how user-centric design and transparency are key to making AI-powered applications more ...
Meta generated $56.31B in Q1 2026 revenue, up 33 percent, while committing up to $145B in annual AI capex. A segment-by-segment breakdown: the ...
... AI failure was explained to the crowd. Schmidt had been comparing the rise of AI to the emergence of computers during his younger years when ...