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A model that hits 98% accuracy on a test set can still break down completely once real people start using it. High overall accuracy often hides serious flaws—like a fraud system fl...
I’ve spent the past week locked in a room (figuratively, mostly) building a solution for a problem that’s been bugging me since the last AI security hackathon: prompt injection. We...
Findem’s Tina Shah Paikeday examines new research from the Stanford Institute for Human-Centered AI showing how widely used hiring tools can reinforce bias. Paikeday argues that re...
In this article, you will learn what prompt injection and tool misuse are in the context of agentic AI systems, and which defense strategies experts...
Future-proofing organizations in the face of AI requires a unified defense strategy that secures both the human workforce and autonomous AI agents. One of the key requirements is s...
Panelists debated AI's true impact on jobs while warning that support systems meant to help workers adapt are being cut.
Written by: Alex Tselevich, Michael Maturi Introduction Adversarial misuse of AI has increased the risk of data theft and extortion events, because when proprietary source code is...
Written by: Jules Czarniak Introduction As highlighted in the Mandiant M-Trends 2026 report, the mean time-to-exploit (TTE) has dropped to -7 days, meaning vulnerabilities are of...
What Employers Need to Know as Legal Requirements Try to Catch Up with Algorithmic Hiring Tools. Artificial intelligence is becoming more mainstream in employers’ hiring workflows....
As a CISO advisor, I am observing a familiar pattern gaining a new, critical dimension. What we historically identified as "Shadow IT", the use of unapproved SaaS and tools, is rap...
AI can reproduce hiring bias through proxies like names, gaps, and zip codes. Here's what's documented, what's overblown, and how to control your exposure.
I know, most people now use AI reflexively, without even thinking about it. But some of us are trying to reduce our AI consumption. In my case, I want to lessen my energy consumpti...
People can accept tradeoffs when they see value — but if they don’t, what happens? The post Understanding Anti-AI Public Opinion appeared first on Towards Data Science.
5 ways to hallucination-proof your AI output Tom Sanchez Thu, 07/30/2026 - 05:00 Primary Image Caption Planners using mapping soft...
The political and cultural battles around AI are creating a new expectation: Tell consumers exactly how AI is being used. These five strategies can help companies get ahead.
A couple of years ago I read a quite serious piece on whether it was sensible or necessary to say please and thank you when interacting with AI platforms. This was not because Skyn...
Machine learning tools that make insurers more efficient may be violating anti-discrimination law. Here is what the C-suite needs to know
Learn how blending RAG and fine-tuning creates more effective AI support experiences.
Stuart Gentle Publisher at Onrec 02 Aug 2026|News archiveHow Hiring Teams Can Balance AI Use, Fairness and TrustLearn how hiring teams can balance AI use with fairness and trust t...
AI systems don’t stop needing protection once they go live. After launch, new risks emerge from changing data patterns, unauthorised access attempts, malicious inputs, and infrastr...
Algorithms and automated decision-making systems are more involved than ever in shaping people’s possibilities and opportunities in today’s societies. They now decide whether someo...
<p>Strategies to support critical thinking, organizational agility, and innovation.</p>
As AI adoption grows, communicators need to explain how it works, why it matters and where humans still fit in. Organizations are quick to highlight their latest AI tools but, incr...
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