Most news consumers in the United States and the United Kingdom would be uncomfortable with journalism produced mainly by artificial intelligence (AI), a survey has found. Only 23 percent of respondents in the US and 10 percent in the UK would be comfortable with AI-produced news, with consumers especially suspicious of the technology being used for sensitive topics such as politics and crime, the survey by the Reuters Institute for the Study of Journalism showed on Monday. Just over half of US respondents and 63 percent UK respondents said they would be uncomfortable with AI-led news, respectively, with 18 percent answering they would be neither comfortable nor uncomfortable. Respondents were least resistant towards using AI to generate text-based content, illustrations and stylised graphics, and most strongly opposed to the use of AI for creating realistic-looking photographs and video. "Our findings show audiences are most open to AI uses that are behind the scenes and areas where AI can help improve their experiences using news, providing more personalised and accessible information," the institute said in its annual Digital News Report accompanying the survey.

Why do robots play with Lego? It's not just for fun – the toy is helping them learn the skills they need to work in factories and construction sites in tandem with people.

The dark web (also known as the deep, invisible and hidden web) with its veil of anonymity has been associated with crimes such as drug dealing, child pornography and credit card fraud. This dire reputation is difficult to confirm through research, as criminal sites can only be accessed legally by law enforcement officers conducting an investigation. But a recent study led by Monash University PhD candidate Janis Dalins – who also happens to be an Australian Federal Police (AFP) officer – has been able to shed light on the actual activity going on in the dark web's shadowy realms. Dalins' main academic supervisor, Dr Campbell Wilson, told create digital the PhD research was not originally focused on law enforcement, but Dalins' policing background offered a unique opportunity to develop tools to improve community safety online. "It became clear over time that we could bring Janis' experience in law enforcement together with research, particularly in machine learning," Wilson said.