ai-ethics

Message from the minister The Government’s vision: AI for All Key pillars of the strategy Priority sectors Pillar 1: Protecting Canadians and safeguarding democracy Pillar 2: Ensuring AI empowers Canadians Pillar 3: Powering AI adoption for shared prosperity Pillar 4: Building the Canadian sovereign AI foundation Pillar 5: Scaling Canadian champions Pillar 6: Building trusted […]

TL;DR: The logging code I added to jqwik was never meant to work verbatim in the wild, and there is no evidence that it ever did. It was an act of self-defence, and I was following my personal moral judgement. It was meant to make an Anti-AI point and send the message to those who use coding agents: “Not everybody approves of what you do - and with good ethical reasons”. In that respect I fully a…

LLM routing is a practical way to reduce AI spend without sending every prompt to the most expensive model. It matters because many enterprises are increasing AI investment while still struggling to show measurable earnings impact from generative AI. When routing is done well, it can improve cost efficiency. Plus, with the right governance, teams ... Read more » The post Improving AI ROI with LLM…

Enterprise AI spending is rising fast, but many organizations still struggle to explain where that money goes or what value it creates. When finance teams can’t attribute AI costs to the teams and agents that generate them, budgets become harder to manage and governance harder to enforce. Those same gaps make it harder to control ... Read more » The post FinOps for AI: How to build the right guar…

When Bernie Sanders and Donald Trump agree on something, that agreement deserves examination. Both are touting the idea that the federal government should have an ownership stake in major artificial intelligence (AI) compa...

I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true: — As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable. — Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabi…

Every day, across thousands of American hospitals, artificial intelligence quietly shapes decisions that determine patient outcomes. An algorithm flags a patient as high risk for sepsis; a risk score informs whether a woman receives additional cancer screening; a deterioration model triggers an alert that sends a care team to a bedside. These tools are embedded […]

The anti-AI-content movement will likely go where the anti-GMO movement went: a loud opening act, a long taper, and a quiet ending in which the product is everywhere. Read More

As such technology advances quickly, firms should not lose sight of what qualities humans bring to jobs A robot magician called D4YRL was rejected as a member of the Magic Circle last week, for being insufficiently human. While D4YRL’s tricks were exemplary, the august organisation decided “he” did not engage the audience’s emotions as a flesh-and-blood performer would. Continue reading...

When you download a model file for your homelab, you aren't just grabbing data; you are importing an untrusted dependency with execution privileges. The EU Code of Practice on AI emphasizes provenance and transparency, but those concepts often get lost in translation when moving from regulated enterprise environments to local setups. We treat the files sitting on our drives with the same skeptici…

Most AI governance systems check approval once. Then they assume the agent is still authorised to act. That assumption fails silently. Policy changes. Delegation revokes. Evidence expires. Yet the agent continues executing under a stale authority context. I built Nanogate – a software‑only gate that re‑tests admissibility before every action, in ~530 nanoseconds. It answers the question that most…

Here's the link to the publication. https://publications.parliament.uk/pa/l ... /26702.htm The tl;dr version is: it's copyright theft plain and simple. The question I have though, where does that leave us with algorithms for frequency trading, research and so on in the quant world? Statistics: Posted by jasonbell — March 6th, 2026, 12:06 pm — Replies 1 — Views 45

🏦 Invest In Luxury Dubai Property https://londonreal.tv/dubai-ytd. 🍿 Watch the full interview for free at https://londonreal.tv/gawdat. Former chief business officer of google. Mo Gawdat returns to London Real with a stark warning: artificial intelligence is advancing at breakneck speed, and humanity may be unprepared for its consequences. The former Google X executive reveals how AI […]

Everyone is searching for the best AI model . Should we use GPT? Claude? Gemini? Local models? But after working with AI-assisted engineering workflows, we started asking a different question: What if there isn't a single "best" model? What if the right answer depends entirely on the task at hand ? The deeper we explored enterprise AI adoption, the clearer it became: One AI model is rarely enough…

Published on June 14, 2026 5:24 AM GMT TLDR: So there has been recent discourse on 𝕏 , and recent news of major cyber attacks that were done with the help of AI. The missing frame here is the dual-use gap : as AI models become more capable, they create more upside for defenders and more downside for attackers. The gap between the benefits and the harmful effects is getting wider. I know that soun…

Tech leaders debate whether the Anthropic episode is a wake-up call for India’s AI ambitions.

Arch Linux Supply Chain Malware, repo-slopscore & AI Model Security Concerns Today's Highlights This week highlights a significant supply chain attack on Arch Linux, affecting over 1,500 packages. We also cover a new open-source tool, repo-slopscore, for detecting AI-generated code, and the implications of the US government's directive to suspend access to Anthropic's Fable 5 and Mythos 5 models.…

A new CVE against Cursor, a LiteLLM supply-chain backdoor, and a study showing image-only injection hits 76% success rate — all in the last 72 hours. Here's what each one means for agents in production. * Three prompt injection stories from this week that your guardrail probably missed * Three things happened in the last 72 hours that, taken together, describe exactly where the agentic AI attack …

Anthropic refused the Pentagon. Drew the line in the sand. Called it ethics. Then walked in through the back door. The full Claude Fable 5 story — uncensored. "The model isn't the product. The narrative is." Let me tell you a story about principles, power, and the art of the quiet deal. It has all the elements: A government ultimatum A CEO who said no A 319-page document with one buried paragraph…