Laptop Repairability Scores 2026: Which Brands Let You Fix Things
OpenAI Leadership Exodus Continues: Fifth C-Suite Departure
Blooket and the Gamified Classroom: Mastery or Mechanics?
TikTok Ban Deadline Approaches for 170 million Users

Industries that Rejected AI Workers: Failures and Lessons Learned

Several industries have experimented with replacing human roles with AI systems, aiming to improve efficiency, reduce costs, and scale operations. In many cases, early results appeared promising, with gains in speed and productivity.  However, these implementations have also exposed significant limitations. In high-stakes environments, errors introduced by AI systems have led to operational failures, regulatory…

AI Code Review Tools: Catching What Traditional Reviews Miss

AI code review tools

AI code review tools are becoming a core part of modern software development workflows. As systems grow more complex and release cycles accelerate, these tools are increasingly used to identify bugs, security vulnerabilities, and edge cases that traditional review processes often overlook.  Their growing adoption reflects a broader shift in how engineering teams approach code quality, moving…

,

Marie Doce on Building Grounded AI Beyond the Tech Bubble

Grounded AI

In conversation with Marie Doce, charting a new course with Grounded AI, rooted in place, purpose, and principle, after building at the heart of the generative AI surge. Women Building the Guardrails of AI: Behind the rapid rise of artificial intelligence are the people asking the difficult questions about responsibility, safety, ethics, and trust. Across…

Enforceable AI Governance 2026: From Ethics to Infrastructure

Enforceable AI Governance is the technical practice of embedding regulatory policies, such as the EU AI Act and NIST AI RMF 2.0, directly into the AI lifecycle via automated guardrails, Governance-as-Code (GaC), and real-time monitoring. It replaces manual oversight with machine-executable logic, ensuring audit readiness and runtime risk classification.  In the early 2020s, AI governance…

,

Algorithm Accountability: Who Owns the AI Governance Crisis?

algorithm accountability

It’s a classic Tuesday morning in the city. Your firm has just deployed a state-of-the-art Large Language Model (LLM) to automate customer triage. By Wednesday, the bot is inadvertently hallucinating a “100% refund policy” for every disgruntled customer in Leeds. The board wants heads to roll. They turn to the CTO, who points to the Data Science lead. Who…

,

Google Scholar: The Quiet Engine Behind Research Authority

Google Scholar

Most people think Google shapes the web. But Google Scholar shapes what counts as knowledge. If the standard Google search engine is the world’s digital front door, Google Scholar is the restricted-access basement where the blueprints for reality are kept.  For tech professionals, developers, and researchers, Scholar isn’t just a search tool; it’s an invisible infrastructure. It’s the API for human…

AI Impact on Entry-Level Jobs: Why Junior Roles Are Vanishing

AI impact on entry-level jobs

The impact of AI on entry-level jobs is increasingly visible across the technology sector. Roles that once served as the first step into the workforce, such as data entry, basic support functions, and junior programming tasks, are shrinking as companies adopt automation and AI-assisted tools.  Entry-level positions traditionally allowed new graduates to learn systems, understand…

,

Asynchronous Work: When “No Meetings” Created New Problems

The rise of asynchronous work has been widely celebrated as a solution to meeting overload and constant workplace interruptions. By replacing real-time discussions with written updates, teams aim to protect focus time and allow employees to work across different time zones.  In theory, asynchronous communication reduces unnecessary meetings and improves productivity. In practice, however, many organisations have…

,

Inside the 4-Hour Workday Trial: Lessons from Experiments

The 4-hour workday has long captured public imagination. Advocates argue that shorter work hours could improve productivity, reduce burnout, and reshape modern work culture.  In practice, however, very few organisations have attempted a true four-hour schedule. Most real-world experiments have tested variations such as five-hour workdays, six-hour shifts, or four-day workweeks. The results reveal a consistent pattern: extreme…

,

In Conversation with Emsie Erastus on AI Governance and Digital Rights

AI Governance and Digital Rights

Emsie Erastus, Digital Rights Advocate and Head of African Voices at Women in AI Ethics™ (WAEI+), discusses policy reform, tech justice, and building accountable AI beyond traditional power centres.  Women Building the Guardrails of AI: Behind the rapid rise of artificial intelligence are the people asking the difficult questions about responsibility, safety, ethics, and trust. Across academia, policy, and…