American psychologist Paul Ekman’s research on facial expressions spawned a whole new career of human lie detectors more than four decades ago. Artificial intelligence could soon take their jobs.
While the U.S. has pioneered the use of automated technologies to reveal the hidden emotions and reactions of suspects, the technique is still nascent and a whole flock of entrepreneurial ventures are working to make it more efficient and less prone to false signals.
Facesoft, a U.K. start-up, says it has built a database of 300 million images of faces, some of which have been created by an AI system modeled on the human brain, The Times reported. The system built by the company can identify emotions like anger, fear and surprise based on micro-expressions which are often invisible to the casual observer.
“If someone smiles insincerely, their mouth may smile, but the smile doesn’t reach their eyes — micro-expressions are more subtle than that and quicker,” co-founder and Chief Executive Officer Allan Ponniah, who’s also a plastic and reconstructive surgeon in London, told the newspaper.
Facesoft has approached police in Mumbai about using the system for monitoring crowds to detect the evolving mob dynamics, Ponniah said. It has also touted its product to police forces in the U.K.
CBS News Hit With $20 Million Lawsuit for Report on Lincoln Memorial Reflecting Pool
School Board Meeting Descends Into Chaos as Furious Father Booted for Reading Filthy Passages from Kids Library Books
Former Border Patrol chief recalls Biden migrant surge chaos as Trump crackdown delivers historic turnaround
Peggy Flanagan’s lose-lose situation on fraud culpability in Minnesota Senate race
Illegal alien busted allegedly hauling enough fentanyl to potentially kill state’s entire population — twice
Trump admin sued over alleged illegal collection of sensitive voter data from 47 states
Democrat’s debate ‘cue cards’ steal spotlight in high-stakes Senate clash
Breaking: Kristi Noem Out as Trump’s Special Envoy for the Shield of the Americas
FBI returns ‘Most Wanted’ fraudster to US after India arrest in alleged $600K SNAP food stamp fraud scheme
Trans neo-Nazi accused of plotting Hindu temple massacre, will receive hormone treatment in jail: officials
Washington Post Now Luring Women to OnlyFans, Suggesting Pay up to 1,600x Higher Than What Most Women Make
‘Oh, shut up!’: Democrat snaps at Collins after heckler drives Maine Senate debate off the rails
Kelly Clarkson Gets Worst Backup Possible as Loathed Star Kathy Griffin Comes to Her Defense in Insane Feud with Small Shop Owner
‘Suspicious Mailings’ Containing ‘Unknown Substance’ Sent to Offices of Marco Rubio and Other Politicians: FBI
Can cooking for terrorists bar asylum? Supreme Court takes up unusual case with broader immigration stakes
The use of AI algorithms among police has stirred controversy recently. A research group whose members include Facebook Inc., Microsoft Corp., Alphabet Inc., Amazon.com Inc. and Apple Inc published a report in April stating that current algorithms aimed at helping police determine who should be granted bail, parole or probation, and which help judges make sentencing decisions, are potentially biased, opaque, and may not even work.
The Partnership on AI found that such systems are already in widespread use in the U.S. and were gaining a foothold in other countries too. It said it opposes any use of these systems.
Story cited here.
