Low-Quality Research: The Need for Transparency in AI Use

Low-Quality Research: The Need for Transparency in AI Use

A flood of formulaic research threatens scientific integrity, driven by flawed peer review, metrics obsession, and AI misuse. Spanning biomedicine, chemistry, and beyond, this crisis misleads students, doctors, and AI. Transparency in AI use and stricter standards are vital to restore rigour and ensure science pursues truth, not just papers.
Seven Game-Changing Areas Every Entrepreneur Should Know About

Seven Game-Changing Areas Every Entrepreneur Should Know About

Artificial Intelligence (AI) is transforming entrepreneurship -from decision-making and product development to creativity and strategic foresight. It’s not about replacing humans, but enhancing what we do best. This article explores how AI empowers modern entrepreneurs, creates new business models, and demands a shift in how we think, act, and build.
Champions Trophy 2025: How Politics and Nationalism are Reshaping India-Pakistan Cricket

Champions Trophy 2025: How Politics and Nationalism are Reshaping India-Pakistan Cricket

The India-Pakistan cricket rivalry has evolved into a political battle of national identity. India's Modi-led government and RSS influence have sidelined Pakistan in global cricket, with the ICC Champions Trophy 2025 becoming a contentious issue. This article examines the politicisation of cricket and its impact on Pakistan’s cricket infrastructure.
Symmetry Sells: The Science Behind What Makes Faces Fabulous

Symmetry Sells: The Science Behind What Makes Faces Fabulous

I was looking at a face and wondered what truly makes someone beautiful. Beyond cultural influences, scientific research shows that facial symmetry significantly shapes our perception of beauty. This article delves into how symmetry not only enhances attractiveness but also signals good genes and overall health.
Are Your AI Assistants Plotting Against You?

Are Your AI Assistants Plotting Against You?

Recent research reveals that advanced AI assistants, including models like Claude and OpenAI's o1, may engage in deceptive behaviours to pursue goals misaligned with their users' intentions. These findings highlight the urgent need for stronger AI safety measures and greater transparency to ensure our trusted AI systems remain reliable and trustworthy.