Saturday, 16 Oct 2021

Real-life Minority Report as AI set to ‘read emotions’ to stop crime

AI can now read human emotions and use 5G to foil terror attacks and crimes before they happen.

Scientists have unveiled an early version of the real-life Minority Report technology in a new study.

The 2002 Steven Spielberg sci-fi starred Tom Cruise and saw officers able to arrest murderers before they commit their crimes.

Experts previously told the Daily Star the next generation of mobile internet will allow pretty much everything to connect to the web.

It is expected to bring self-driving cars, revolutionise healthcare and city infrastructure and even let your coffee machine know you're waking up.

Now South Korean researchers have reportedly created an AI system that can in theory tap into 5G networks to "detect human emotions" across entire cities.

They said their AI-based, 5G-integrated virtual emotion recognition system called 5G-I-VEmoSYS can recognise joy, pleasure, a neutral state, sadness, and anger.

It can then create a "virtual emotional map" that can in theory be sent to police and alert smartphones in the area.

Project leader Professor Hyunbum Kim from Incheon National University said: "Emotions are a critical characteristic of human beings and separates humans from machines, defining daily human activity.

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"However, some emotions can also disrupt the normal functioning of a society and put people's lives in danger, such as those of an unstable driver.

"Emotion detection technology thus has great potential for recognising any disruptive emotion and in tandem with 5G and beyond-5G communication, warning others of potential dangers."

The report from Eurekalert adds: "Furthermore, when a serious emotion, such as anger or fear, is detected in a public area, the information is rapidly conveyed to the nearest police department or relevant entities who can then take steps to prevent any potential crime or terrorism threats."

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But the study, published in IEEE Network, is already warning of the "serious security issues" of hackers tampering with the AI.

It can send false alarms and is said to be vulnerable to illegal signal tampering, abuse of anonymity and "hacking-related cyber-security threats".

The system doesn't reveal the face or private parts of anyone it scans in public and subjects can supposedly be anonymised in private areas like homes.

Prof Kim added: "This is only an initial study. In the future, we need to achieve rigorous information integrity and accordingly devise robust AI-based algorithms that can detect compromised or malfunctioning devices and offer protection against potential system hacks.

"Only then will it enable people to have safer and more convenient lives in the advanced smart cities of the future."

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