Author: The Conversation

Artificial intelligence (AI) is becoming part of everyday newsroom work across Africa. It has entered quietly through routine tasks such as transcription, headline writing, translation and content preparation. In southern Africa, where AI adoption is steadily growing, its application in journalism is raising critical questions from policymakers and governments. While technology offers gains in speed and efficiency, its use remains contested due to ethical concerns and fears about job losses. As communication and media scholars researching data and digital communication, in our study, we examined its influence on production processes, ethical guardrails and job security. Interviews with senior editors revealed that, while AI improves…

A peacock feather in sunlight shifts from blue to green to bronze as you turn it. Photograph it, and this shimmer collapses into one angle, one exposure, one compromise. A digital image is not a record of what your eye sees. The standard color space that most digital images use was built for an older display world, when cathode-ray tube monitors swept beams of electrons across phosphor-coated glass. This standard color space made color predictable across many devices, but the compromise was a narrower range of colors for screens, cameras and image files to share. Whatever the screen offers feels complete. It is not that your eyes…

What happens to language when a growing amount of text published in the press, online and on social media is written by machines? This question is not just important for the profession of journalism – it also has an impact on the richness of the language we all use to comprehend, describe and discuss reality itself. Historically, the press has been a space where public language grows and becomes richer. It is not, of course, the only driver of linguistic change, but it is one of the fields where new or emerging words, turns of phrase and ways of describing facts begin…

When you ask a large language model a question, the reply may include falsehoods, and if you challenge those statements with facts, the AI may still uphold the reply as true. That’s what my research group found when we asked five leading models to describe scenes in movies or novels that don’t actually exist. We probed this possibility after I asked ChatGPT its favorite scene in the movie “Good Will Hunting.” It noted a scene between leading characters. But then I asked, “What about the scene with the Hitler reference?” There is no such scene in the movie, yet ChatGPT confidently constructed…

“You have zero privacy … Get over it,” Scott McNealy, then CEO of Sun Microsystems, declared in 1999. What might have sounded like a bold claim at the turn of the millennium has turned into a self-fulfilling prophecy in today’s era of big data and artificial intelligence. Computer algorithms – step-by-step instructions – can connect the digital breadcrumbs of your existence, including Google searches, browsing histories, social media posts, credit card records and GPS locations to paint an astonishingly accurate picture of your preferences, routines and inner mental life. These profiles often describe people better than their closest friends and family might. Yours may even tell you something…

In 1973, Japanese food company Calbee started attaching free collectable baseball player cards to its potato chip packets (and continues to do so today). It was mimicking a trend that had already taken off in tobacco markets in Japan and overseas. Baseball, Japan’s national sport, was an obvious choice for Calbee to attract consumers. Some four years later, rival company Lotte joined the trend, launching a chocolate wafer snack with Bikkuriman “surprise man” stickers. These stickers quickly caught on – and eventually spawned an entire fantasy world that made its way to anime and manga. View this post on Instagram A post shared by 長瀬智也 (@nagasetomoya_) Both Calbee and…

Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) models had found a counterexample to a famous conjecture made by legendary Hungarian mathematician Paul Erdős in 1946. The planar unit distance problem, or Erdős problem 90, has intrigued mathematicians for decades. The new result is no mere curiosity. Canadian mathematician Daniel Litt described it as “the first result produced autonomously by an AI that I find interesting in itself”. The breakthrough, produced with a general-purpose AI model rather than one specialised for mathematics, also highlights how AI is changing mathematical research itself. Days after OpenAI’s paper, US mathematician Will…

The global economy still largely follows a simple pattern: extract natural resources, manufacture products, use them and then throw them away. This “take, make, dispose” model has driven economic growth for decades. But increasing use of resources has also damaged the environment, contributing to climate change, biodiversity loss and pollution. Circular economies could be a solution. The idea is to keep materials in use for as long as possible through reuse, repair and recycling. In this way, goods circulate within the economy rather than ending up on dumpsites as waste. For rapidly developing economies, this approach is becoming increasingly important. We are…

If you have ever tried to repair something, realized that it was beyond your financial or technical means, and ended up buying a new one, you are not alone. Repairing electronics and household appliances has not been a real option in the United States for decades now, particularly for items that have proprietary software in them. Absurd situations have proliferated. It can cost about the same to buy a new printer as it does to replace the ink cartridge. The U.S. Department of Defense cannot repair the weapons systems it purchases because the intellectual property rights remain with the manufacturer. John Deere, the…

Generative AI (GenAI) is a type of artificial intelligence that creates new content – like text, images, or ideas – by learning patterns from existing data. GenAI, particularly through large language models (LLMs) such as ChatGPT and DeepSeek, is rapidly becoming part of everyday urban design research and practice. The models can summarise literature in seconds, generate policy scenarios, and help draft complex narratives. For urban designers and researchers working under pressure, this feels like a breakthrough. But beneath this efficiency lies a deeper question: are we enhancing urban design knowledge, or quietly reshaping it in ways we do not fully…