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Browser Privacy Test 2026: What Chrome Really Blocks
A browser privacy test in 2026 produces uncomfortable results. Running Chrome in incognito mode and testing it through the Electronic Frontier Foundation’s (EFF) Cover Your Tracks tool returns the same outcome most users would not expect: a unique fingerprint and weak protection against tracking. Private browsing does not change that result. Chrome continues identifying browsers through dozens…
Data Consent, AI Privacy and the EU AI Act Delay
In November 2025, the European Commission confirmed it would delay parts of the EU AI Act that apply to so-called “high-risk” systems, pushing some obligations to 2027. Officials framed the move as a simplification. Critics called it a step backwards. One EU lawmaker described the broader reform package as risking a “massive rollback” of digital…
Trustworthy AI: From Wild West to Regulated Intelligence
In 2016, Microsoft’s chatbot Tay was taken offline within 24 hours after it began posting offensive content on social media. It became one of the earliest mainstream reminders that AI, left unchecked, can go wrong very quickly. Fast forward to today, and industry leaders like Sam Altman openly state that advanced AI systems must be…
Google Monopoly Trial Verdict: The Breakup That Wasn’t
Judge Amit Mehta ruled that Google operates an illegal search monopoly, delivering the central verdict in the Google monopoly trial. The decision marked the most consequential antitrust finding against a technology company since the Microsoft case in the late 1990s. The Department of Justice pushed for sweeping structural remedies, including the potential sale of Chrome and…
AI Audit: Accountability and Oversight in Enterprise AI
Artificial intelligence now makes decisions that directly affect customers, employees, and revenue. As AI moves deeper into enterprise operations, AI audit has become the primary tool organisations use to demonstrate control, accountability, and trust. The difficulty is that most enterprise AI systems change continuously, while traditional audit models assume stability. So, what AI audits involve in practice, why snapshot…
The AI Trust Gap: How AI Products Sell Their Own Fixes
The AI trust gap today has less to do with fear of artificial intelligence and more to do with how AI products are built and sold. Users still want AI to help them write, hire, detect fraud, and manage risk, but confidence drops when tools appear to introduce friction before offering paid ways to remove it. Over…
Meta GDPR Fine: Why the €1.2 Billion Penalty Changed Nothing
Ireland imposed the largest privacy penalty in history in May 2023 — the €1.2 billion fine against Meta under the GDPR. The ruling targeted Meta’s long-running transfer of European Facebook user data to US servers without adequate legal protection, ordering the company to stop unlawful transfers and bring existing data storage into compliance. The violation? Transferring…
Major AI Failure Scandals Big Tech Didn’t See Coming
For the past few years, companies have rushed to add artificial intelligence to products, workflows, and customer interactions, a push that has also led to a growing number of AI failure scandals playing out in public. Sometimes it worked. Other times, it didn’t — at least not in the way teams expected. What follows are moments where AI didn’t fail in dramatic…
Digital Minimalism at Work and the Limits of Tool Bans
Companies ban Slack after 6 PM. Meeting schedules get blocked. Async-first communication is pushed. Microsoft added Slack to its “prohibited” list in 2019. 88% of executives managing remote teams do not plan a return to the office. Remote work has created a permanent need for workplace boundaries. In response, organisations experiment with no-meeting days, tool restrictions, and right-to-disconnect…
Why an AI Deepfake Detector with 98% Accuracy Still Fails
UC Riverside and Drexel researchers built a universal AI detector that identifies deepfakes with 98.3% accuracy, covering face swaps, synthetic speech, and fully generated content within a single model. This was widely seen as a long-awaited solution to the deepfake problem. A system positioned as effective across multiple content formats. At scale, however, a 98% accuracy rate behaves very differently….