Microsoft is building a tool to automatically identify bias in a range of different AI algorithms. It is the boldest effort yet to automate the detection of unfairness that may creep into machine learning—and it could help businesses make use of AI without inadvertently discriminating against certain people.
“Things like transparency, intelligibility, and explanation are new enough to the field that few of us have sufficient experience to know everything we should look for and all the ways that bias might lurk in our models,” says Rich Caruna, a senior researcher at Microsoft who is working on the bias-detection dashboard.
AI software capable of interpreting images, matching faces and analysing patterns of communication is being piloted by UK police forces to speed up examination of mobile phones seized in crime investigations. Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year.
Cellebrite says it has been working with a dozen UK forces, including the Metropolitan police, trialling sophisticated software to help process digital evidence taken from mobile phones and computers. The company cannot name the other forces, it says, due to commercial nondisclosure agreements. The Met confirmed it has been exploring AI developments with Cellebrite.
One in every four schools in China is quietly testing a powerful machine that uses artificial intelligence to mark pupils’ work, according to scientists involved in the government programme. The technology is designed to understand the general logic and meaning of the text and make a reasonable, human-like judgment about the essay’s overall quality.
The technology, which is being used in around 60,000 schools, is supposed to “think” more deeply and do more than a standard spellchecker. For instance, if a paragraph starts trailing off topic, the computer would mark it down.
UCL is hosting the London Festival of Learning, including the International Conference of Artificial Intelligence and Education in the last week of June. There will be an exciting festival vibe with lost of AI talks, buskers, great food, brilliant presentations, over 60 EdTech startups and SMEs showcasing their work, including AI companies like CenturyTech, Filtered and Bibblio.
There are three International Conferences – Artificial Intelligence and Education, International Conference of the Learning Sciences,and Learning @ Scale – these will attract an audience of around 1000 International visitors. Keynote presenters include Tom M Mitchell who founded the world’s first Machine Learning Department at Carnegie Mellon University, Paulo Blikstein from Stanford University’s Transformative Learning Technologies Lab, and Nichole Pinkard (Digital Youth Network).
The system, which works locally on a smartphone or other portable device, comprises two kinds of neural networks: a recurrent neural network (RNN), which uses its internal state, or memory, to process inputs, and a convolutional neural network, a neural network that mimics the connectivity pattern between neurons in the human brain. On average, it’s 95 percent capable of recognizing words and phrases, Lott said.
LG Display, together with Sogang University, has developed AI technology that reduces latency and blur in VR content. Head-mounted displays for VR are conventionally highly immersive, but latency and motion blur can cause dizziness. The problem is especially pronounced for higher-resolution displays that require more calculations.
LG’s technology brings an algorithm that converts low-resolution videos to higher tones in real time. It has deep learning that allows use of only internal memory of the device to do so, instead of requiring additional external ones.
A robot submarine operated by researchers at the Woods Hole Oceanographic Institution (WHOI) discovered the remains of the San José, a Spanish galleon that was sunk more than three hundred years ago. The REMUS 6000, an autonomous underwater vehicle, discovered the wreck in nearly 2,000 feet of water off the coast of
The location of the shipwreck had been an ongoing maritime mystery, speculated about by historians and searched for by treasure hunters for decades. The discovery was made in 2015, but the WHOI just recently received authorization to release the details about the discovery.