Police in China will use AI face recognition to identify ‘lost’ elderly

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Chinese police hope to use AI-powered facial recognition, in combination with the nation's mass surveillance network, to identify lost elderly people.

The country's surveillance network is often scrutinised for being invasive, but the ability to detect potentially vulnerable people helps to shift the perception that it primarily benefits the government.

Public data suggests around 500,000 elderly people get lost each year, the equivalent of around 1,370 per day. About 72...

EmoNet: Emotional neural network automatically categorises feelings

emonet neural network ai artificial intelligence emotions feelings

A neural network called EmoNet has been designed to automatically categorise the feelings of an individual.

EmoNet was created by researchers from the University of Colorado and Duke University and could one day help AIs to understand and react to human emotions.

The neural network is capable of accurately classifying images into 11 emotions, although some with a higher confidence than others.

‘Craving,’ ‘sexual desire,’ and ‘horror’ were able to be...

No Rekognition: Police ditch Amazon’s controversial facial recognition

Orlando Police have decided to ditch Amazon’s controversial facial recognition system Rekognition following technical issues.

Rekognition was called out by the American Civil Liberties Union (ACLU) for erroneously labelling those with darker skin tones as criminals more often in a test using a database of mugshots.

Jacob Snow, Technology and Civil Liberties Attorney at the ACLU Foundation of Northern California, said:

“Face surveillance will be used to...

EU AI Expert Group: Ethical risks are ‘unimaginable’

The EU Commission’s AI expert group has published its assessment of the rapidly-advancing technology and warned it has “unimaginable” ethical risks.

Some of the highlighted risks includes lethal autonomous systems, tracking individuals, and ‘scoring’ people in society.

On the subject of lethal autonomous systems, the experts warn machines with cognitive skills could “decide whom, when and where to fight without human intervention”.

When it comes...

AI Experts: Dear Amazon, stop selling facial recognition to law enforcement

A group of AI experts have signed an open letter to Amazon demanding the company stops selling facial recognition to law enforcement following bias findings.

Back in January, AI News reported on findings by Algorithmic Justice League founder Joy Buolamwini who researched some of the world's most popular facial recognition algorithms.

Buolamwini found most of the algorithms were biased and misidentified subjects with darker skin colours and/or females more...

Amazon joins calls to establish facial recognition standards

Amazon has put its weight behind the growing number of calls from companies, individuals, and rights groups to establish facial recognition standards.

Michael Punke, VP of Global Public Policy at Amazon Web Services, said.

"Over the past several months, we've talked to customers, researchers, academics, policymakers, and others to understand how to best balance the benefits of facial recognition with the potential risks.

It's critical that any legislation protect...

Microsoft warns its AI offerings ‘may result in reputational harm’

Microsoft has warned investors that its AI offerings could damage the company’s reputation in a bid to prepare them for the worst.

AI can be unpredictable, and Microsoft already has experience. Back in 2016, a Microsoft chatbot named Tay became a racist, sexist, generally-rather-unsavoury character after internet users took advantage of its machine learning capabilities

The chatbot was covered in media around the world and itself was bound to have caused Microsoft some...

Joy Buolamwini: Fighting algorithmic bias needs to be ‘a priority’

Algorithmic Justice League founder Joy Buolamwini gave a speech during the World Economic Forum this week on the need to fight AI bias.

Buolamwini is also an MIT Media Lab researcher and went somewhat viral for her TED Talk in 2016 titled ‘How I’m fighting bias in algorithms’.

Her latest speech included a presentation in which Buolamwini went over an analysis of the current popular facial recognition algorithms.

Here were the overall accuracy results when...

Speech and facial recognition combine to boost AI emotion detection

Researchers have combined speech and facial recognition data to improve the emotion detection abilities of AIs.

The ability to recognise emotions is a longstanding goal of AI researchers. Accurate recognition enables things such as detecting tiredness at the wheel, anger which could lead to a crime being committed, or perhaps even signs of sadness/depression at suicide hotspots.

Nuances in how people speak and move their facial muscles to express moods have presented a...

Most-funded AI startup SenseTime wants another $2bn

Not content with being the world’s most-funded AI startup, Chinese facial recognition darling SenseTime is preparing a $2 billion financing round.

SenseTime raised more than $1.2 billion last year; including a round announced in May that valued it at more than $4.5 billion.

According to Bloomberg sources, the company is aiming for $2 billion more funding but the information is private. The sources claim investor Alibaba is working on the...