Data to train AI models could run out by 2026. What’s next?
We need a lot of data to train powerful, accurate and high-quality AI algorithms. For instance, ChatGPT was trained on 570 gigabytes of text data, or about 300 billion words. But the quality of the training data is also important.
Why AI chatbots can’t replace employees just yet
Before deploying chatbots in the workplace, it is crucial to understand what they are, how they work, and how to use them responsibly.
‘Kept me awake at night’: The ethical considerations of AI in recruitment
Within the next year, if you apply for a new job or a promotion it's likely your application will initially be screened by an artificial intelligence (AI) tool.
‘Very good’ at manipulating humans: Why smarter, deceptive AI systems pose a huge risk
Can AI systems deceive humans? The authors argue a range of systems have already learned to do this – and the risks range from fraud and election tampering to us losing control over AI.
Data shows AI-generated images are ageist, sexist and classist
Creating images using AI generators has never been simpler. At the same time, however, these outputs can reproduce biases and deepen inequalities, research shows.
Four out of five Australian managers say new employees must be AI-ready: Microsoft
Four out of five Australian managers say new hires will need skills to manage the growth of artificial intelligence in the workplace, Microsoft says, reflecting the current buzz around next-generation technology and a genuine belief its long-term capabilities.
“The people behind the tech”: Why artificial intelligence discriminates
Advances in automation and artificial intelligence mean we’re on the threshold of discoveries that could change human society — for better or worse.