2025 may be the year of AI agents that can carry out tasks on our behalf – but the technology has a couple of big hurdles to get past before it will really be useful.
Tighter regulation and a lack of high-quality, authentic training data are just some of the problems AI developers will need to grapple with next year.
New, tech-driven developments, including new imprints by Microsoft and BookTok’s ByteDance, promise to make book publishing faster and more efficient. But what’s lost in the process?
AI systems can appear to be black boxes – often, even experts don’t know how systems reach their conclusions. The nascent field of “explainable AI” aims to address this problem.
Borges imagined an endless library that contained every possible permutation of letters. The truth is out there, but it’s embedded among hordes of lies and gibberish.
As more people turn to ChatGPT instead of Google, research shows AI can be a better tool for creative problem-solving – though it still has its limits.
The tech giant previously prohibited people from using its AI software for military purposes. The shift poses challenges not just for the public – but militaries as well.
The first project to examine Australian Wikipedia entries finds topics such as Australian history and use of First Nations place names are sparking ‘edit wars’, with some serious omissions.
Data labellers are the lifeblood of the AI industry. Yet they are often paid very low wages, work in unsafe environments and lack basic workplace protections.