Automated algorithms – not humans – are increasingly making decisions about who’s eligible for welfare benefits.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
Understanding how the computations in the brain go wrong could help scientists develop treatments for neurological disorders.
The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
You leave bits of your personal data behind online, and companies are happy to trade in them.
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Data privacy regulations are being adopted to protect internet users. Today, humans need to read those rules to ensure compliance. New research suggests machines could interpret them in real time.
Wonders of the world.
Machines mostly innovate on narrow dataset, which limits their creativity.
Workplaces may stick with manual data entry, even in the age of digital technology advances.
Attitudes about data entry are complex, despite a recent study suggesting it's the most despised workplace task.
No one knows exactly how AI-based DNA analysis software works, so it can't be scrutinised in court.
From wearables with monitoring chips to face scanners that assess your contentment, workplace surveillance seems to be going in one direction.
Peter Byrne/PA Archive/PA Images
Our research uses artificial intelligence to unblock hospital beds and helps doctors and nurses to know quickly which patients are safe to go home.
The digital economy includes small holder farmers being able to access finance on a mobile device without having to go to a bank.
The digital economy will, soon, become the ordinary economy as the uptake - and application - of digital technologies in every sector in the world grows.
AI systems may soon be able to generate texts that can pass for human work. Such technology has many positives, but could also result in widespread generation of false texts (including fake news).
AI-powered text generators are becoming increasingly easy to access. Rather than banning their use by students, educators should think about incorporating such tools into their curriculums.
The groundbreaking Xenobots were created by a team from Tufts University and the University of Vermont.
Douglas Blackiston, Tufts University
Xenobots have been called the world's first "living robots". They are made entirely of living tissue, and can be programmed to move towards a certain object.
Shops checkouts are predicted to disappear this decade. Customers will be able to take what they want and walk out, with payment done automatically.
Technological change has always destroyed jobs. But now automation and artificial intelligence are drying up the options for those displaced.
Traditional companies need to embrace high-quality data gathering to avoid being left behind by the next industrial revolution.
Tumour cells under a microscope labelled with fluorescent molecules.
There is a need to move from conventional cancer treatments to more targeted and personalised therapies.
Scores of jobs could be affected by the fourth industrial revolution – and not enough is being done to guard against this.
Anonymised data is crucial for AI to work.
Medical data will need to be treated as precious to our health as drinking water.
Abandoned trolleys litter a roadside in Whalan, a suburb in Sydney’s outer west.
Abandoned trolleys are an all-too-common sight. A solution to this intractable problem depends on a combination of policy and legal changes, public engagement and tracking technology.
Emotion recognition technology, an outgrowth of facial recognition technology, continues to advance quickly.
A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there's growing concern.
If it's impossible to accurately predict the future then there may be limits to how smart artificial intelligence can become.
When algorithms make decisions with real-world consequences, they need to be fair.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.