Applied Statistics - aka A.I./Machine Learning/Large Language Models

Father Paolo Benanti has become one of the Pope’s chief advisers on the potential harms of new tech

Robert Williams, Michael Oliver, and Nijeer Parks were misidentified by facial recognition software. The impact cast a long shadow.

Deepfake researchers have long feared the day this would arrive.

Men have indeed been doing crucial Covid number-crunching, but because the pandemic did start a long time ago but not as far back as the Dark Ages, swathes of women have been doing it too

AI startups can rake in investment by hiding how their systems are powered by humans. But such secrecy can be exploitative.

Workers who label content and help computers understand language want their own voices to be heard.

Cognitive scientists and corporations alike see human minds as predictive machines. Right or wrong, they will change how we think

For as long as there has been AI research, there have been credible critiques about the risks of AI boosterism

Nature - Those who could be exploited by AI should be shaping its projects.

The 21st century colonisation of Africa does not involve armies, argues cognitive scientist Abeba Birhane, but the mass harvesting of valuable data.

Techniques used to analyse data are producing misleading and often wrong results, critics say.

AI reformers are divided: Some want to fix the algorithms, others aim to keep humans making decisions.