Even if all the necessary precautions are taken, reminders of your ex can still crop up and catch your eye.
Facebook's algorithms are designed to encourage reminiscence and reconnection. But in the wake of a breakup, we don't always want those things.
For years, Craigslist operated out of an old Victorian house in San Francisco, before moving out in 2010.
Justin Sullivan/Getty Images
Remember when websites didn't rely on user data for profit margins, when values like anonymity and transparency were celebrated?
Going for a run… with big data.
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
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.
No one knows exactly how AI-based DNA analysis software works, so it can't be scrutinised in court.
Thanks to algorithms, outrage often snowballs.
Algorithmic forces fuel cancel culture. Paradoxically, they're also used to rehabilitate those who have been canceled.
Scientists are arguing over how YouTube might help turn people into extremists.
Quantum computing would signify an immense shift in processing power, but how close are we to achieving it?
A paper published by researchers at Google claimed that they had achieved computing quantum supremacy, but leaks and counter-claims have created a stir.
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.
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.
Alongside doctors, AI could be a useful tool for providing better diagnosis.
Victor Moussa/ Shutterstock
An AI trained to look at heart scans was able to successfully predict risk of death. But one expert cautions we still need to be careful about designing -- and using -- AI for medical diagnosis.
Manipulating our own personal data can allow us to manipulate capitalism.
Personal data is valued primarily because data can be turned into a private asset. That has significant implications for political and societal choices.
file ktfs j.
Some initiatives aim to develop more ethical and equitable models.
YouTube uses a wide range of tools to keep viewers watching.
Algorithms can amplify toxic content, but the problems start in human communities.
Researchers used a statistical algorithm to analyse written texts between 1820-2009 in four Western countries.
Of the countries we looked at, all have seen an increase in subjective happiness since the 1970s.
Algorithms can reinforce existing biases in society.
The fundamental problem with AI is it is often riddled with society's existing biases and prejudices.
It can be tricky to make it look like people are doing things they never did.
A key element of the battle between truth and propaganda has nothing to do with technology. It has to do with how people are much more likely to accept something if it confirms their beliefs.
Scientists are working with artificial intelligence in hopes of being able to better detect cancer.
Artificial intelligence holds great promise for medicine, but safeguards are needed to ensure it does not harm patients.
Bias in, bias out: many algorithms have inherent design problems.
Mathematician Hannah Fry has called for tech and data scientists to make an ethical pledge, as medical doctors do. But the same result might be delivered by simply asking people to mind their bias.
A new test which capitalises on existing knowledge and technology will increase diagnoses, speed up the process and save the NHS millions of pounds.