Articles on ChatGPT
Displaying 61 - 80 of 347 articles
Research asking AI models to describe and generate pictures reveals they see a bright, sensational world of generic images.
Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.
A chatbot can produce text, but it can’t sustain a probing conversation about your reasoning. Our work suggests oral assessment has a role in the age of AI.
Researchers found more than 80 cases of generative AI use in Australian courts so far – mostly by people representing themselves. That comes with serious risks.
GenAI does some neat, helpful things, but it’s not yet the engine of a new economy — and it might not ever be.
Internet companies have long enjoyed immunity for hosting other people’s content. AI chatbots are changing the legal equation.
What consumers need to known about OpenAI and Shopify working together.
AI doesn’t worry about sounding boring.
AI coverage in African media has shown that local voices and experts are missing.
Advances in imaging, text recognition and machine learning are transforming what can be done with collections of plants and fungi in herbaria and museums globally.
AI models are not politically neutral nor free from bias. In fact, it may not even be possible for them to be unbiased.
Can AI agents superpower the classroom?
Big tech wants generative AI systems to seem like neutral, reliable tools – but the reality is far more complicated.
Over half of older adults report using AI, but many also struggle with trusting the technology.
What do Australians and Australia look like according to generative AI? The results are alarming.
In the internet age, all that is solid melts into data. This includes the work of authors, songwriters and artists, ostensibly protected by the law of copyright.
Unusual words or punctuation may serve as ‘tells’ that something has been written by a chatbot. But even with that knowledge, most people struggle to discern human writing from AI-generated text.
A new study shows large language models find it much harder to understand the nuances of Indian, British and Australian English.
Maybe the tool matters less than the user.
Language technologies are being adapted for health across Africa. But most of these tools never make it beyond the lab or they are limited in their language options.



















