At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value, according to Gartner, Inc.
A new study published in Nature has raised alarm bells about the future of artificial intelligence (AI) development, warning that training AI models on AI-generated text can lead to rapid deterioration in output quality. This phenomenon, dubbed "model collapse," could potentially halt progress in large language models (LLMs) as they exhaust human-derived training data and increasingly encounter AI-generated content online.
The Australian Securities and Investments Commission (ASIC) and the Office of the Australian Information Commissioner (OAIC) have signed a Memorandum of Understanding (MoU) for the sharing of data and privacy breach information.
Australian businesses are facing unprecedented financial risks from data breaches, with the average cost reaching a record AUD $4.26 million in 2024, according to IBM's annual Cost of a Data Breach Report, a 27% increase since 2020.
Manufacturing companies are scaling back their plans to deploy to Generative AI initiatives amid increasing worry about the models sharing inaccurate information, a new study has found.
