Amazon, Block and Atlassian have announced AI-driven job cuts, and Meta is reportedly planning its own – but all may not be as it seems.
- Professor in Business Information Systems, University of Sydney
Olive was meant to make shopping easier. Instead it’s mouthing off about its ‘mother’ and mistaking the price of basic items.
Starting later this year, Woolworths shoppers will able to use AI to plan meals and even add items to their carts. It’s convenient – but with potential hidden costs.
If you want to try Atlas, the advice is straightforward: extreme caution.
AI companies have plans for Australia’s economy, education system and infrastructure. They may not be in our best interest.
We’re just as likely to share intimate info with a chatbot as we are with a fellow human. It’s a privacy risk.
AI systems that can autonomously make decisions on our behalf will be a huge time saver – but we must deploy them with care.
A string of recent deals by the cutting-edge AI company suggest an interest in large amounts of behavioural, health and biometric data.
ChatGPT dilatih dengan 300 miliar kata data pengguna, namun pengguna tidak memiliki cara untuk mengetahui apakah data mereka digunakan atau tidak.
Unlike a human editor, AI cannot explain their decisions or reasoning in a meaningful way. This can be a problem in a field where accountability and transparency are important.
ChatGPT is fuelled by our intimate online histories. It’s trained on 300 billion words, yet users have no way of knowing which of their data it contains.
L’annulation de l’arrêt Roe v. Wade a signé la fin de la protection du droit à l’avortement aux États-Unis. Quels risques pour les femmes, à l’heure d’Internet et des données de santé en ligne ?
American women are deleting period trackers after the end of Roe v. Wade, but evading digital surveillance will be almost impossible without changes to privacy regulations.
Recently, concerns have been raised over the harm caused by misinformation in relation to the COVID-19 pandemic and federal elections.
In the past decade, the Australian government has commissioned data analytics projects worth more than A$200 million. We have little information about what they involved.
Business managers often rely on predictive algorithms to make recruiting decisions that affect a company’s bottom line. But these kinds of algorithms aren’t really “predictive” at all.
There are good reasons why business has not been as successful as sports teams at implementing algorithmic decision-making.
Australia’s data retention law is one of the most comprehensive and intrusive data collection schemes in the Western world, and should be challenged.
Despite its promises, people analytics has serious ethical implications and can adversely affect organisations and how people are treated at work.
Data surveillance has become increasingly invasive and its scope has broadened.
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