AI safety

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Trump plan to test AI models has a problem—US security teams were gutted by DOGE

ai, AI (Artificial Intelligence), AI safety, ai safety testing, Artificial Intelligence, Donald Trump, frontier ai, Policy

On Tuesday, Donald Trump finally signed his executive order expanding the government’s efforts to conduct voluntary safety testing of frontier AI models. Now, critics are warning that the order may be short-sighted, offering only performative reassurances that the government is actively monitoring for AI risks, while changing very little about how and when models are […]

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Trump plan to test AI models has a problem—US security teams were gutted by DOGE

ai, AI (Artificial Intelligence), AI safety, ai safety testing, Artificial Intelligence, Donald Trump, frontier ai, Policy

Trump plan to test AI models has a problem—US security teams were gutted by DOGE Read More »

Breaking the Black Box: From Traditional QA to AI Assurance and Governance

ai, AI (Artificial Intelligence), AI & QA Innovation, AI + Compliance, AI Assurance, AI Governance, AI Quality Engineering, AI Risk Management, AI safety, AI Trust and Reliability, AI Validation, Artificial Intelligence, Enterprise AI, Enterprise Technology, Generative AI, Generative AI Testing, LLM Testing, QA, QA Automation, QA Engineering, QA process, Quality Assurance, Quality Engineering, Red Teaming, Responsible AI, Software Testing, Spritle Blog, SpritleSoftware

I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address the unique challenges introduced by Large Language Models (LLMs). What I expected

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Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance

Breaking the Black Box: From Traditional QA to AI Assurance and Governance I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address

Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance Read More »

Trump canceled AI safety testing EO after snub from tech CEOs

ai, AI (Artificial Intelligence), AI regulation, AI safety, ai safety testing, Artificial Intelligence, cybersecurity, Donald Trump, national security, Policy

President Donald Trump abruptly canceled an event on Thursday just hours before he was scheduled to sign an executive order granting the government the power to test frontier AI models before their public release. As The New York Times explained, Trump had been hoping that top executives from leading AI firms would attend the signing.

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Spooked by Mythos, Trump suddenly realized AI safety testing might be good

ai, AI (Artificial Intelligence), ai action plan, AI safety, Artificial Intelligence, Donald Trump, frontier ai, Google, Google Deepmind, Microsoft, Policy, xAI

This week, the Trump administration back pedaled and signed agreements with Google DeepMind, Microsoft, and xAI to run government safety checks on the firms’ frontier AI models before and after their release. Previously, Donald Trump had stubbornly cast aside the Biden-era policy, dismissing the need for voluntary safety checks as overregulation blocking unbridled innovation. Soon

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School-shooting lawsuits accuse OpenAI of hiding violent ChatGPT users

ai, AI (Artificial Intelligence), AI safety, Artificial Intelligence, chatbot, ChatGPT, Mass Shooting, OpenAI, Policy, school shooting

OpenAI could have prevented one of the deadliest mass shootings in Canada’s history, a string of seven lawsuits filed Wednesday in a California court alleged. Ultimately, the AI company overruled recommendations from its internal safety team. More than eight months prior to the school shooting, trained experts had flagged a ChatGPT account later linked to

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The US-China AI gap closed. The responsible AI gap didn’t

ai, AI (Artificial Intelligence), AI benchmarks, AI Governance, AI Incidents, AI Index 2026, AI regulation, AI research, AI safety, Artificial Intelligence, Deep Dives, Features, Inside AI, Public Opinion, Responsible AI, Stanford HAI, Trust, Bias & Fairness, US China AI

The assumption that the US holds a durable lead in AI model performance is not well-supported by the data, and that is just one of the uncomfortable findings in Stanford University’s 2026 AI Index Report, published this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual assessment of where

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The rise of Moltbook suggests viral AI prompts may be the next big security threat

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI alignment, AI Ethics, AI safety, AI security, AI self-preservation, Artificial Intelligence, Biz & IT, Cryptocurrency, Machine Learning, Moltbook, Moltbot, MoltBunker, OpenClaw, p2p, Peter Steinberger, prompt injection, prompt worm, Security

On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected computers, crashing systems at Harvard, Stanford, NASA, and Lawrence Livermore National Laboratory. The worm exploited security flaws in Unix systems that administrators knew existed but

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AI Safety Under Fire: Why 42 U.S. States Say Chatbots Are Putting Users at Risk

ai, AI (Artificial Intelligence), AI + Compliance, AI Accountability, AI Chatbots, AI Ethics, AI Governance, AI policy, AI regulation, AI safety, AI safety & ethics, Artificial Intelligence, Chatbot Safety, digital regulation, Enterprise AI, Enterprise Technology, Generative AI Risks, Responsible AI, Spritle Blog, SpritleSoftware

Artificial Intelligence is evolving at a speed few technologies in history have matched. What began as simple automation has now transformed into systems capable of conversation, emotional expression, and autonomous decision-making. AI chatbots are no longer limited to answering questions — they are advising users, offering emotional support, and influencing real-world choices. But as AI

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