Bringing bloody resolution to a standoff with the suspected shooter in Thursday’s horrific sniper attack on police at a Black Lives Matter protest, Dallas Police cornered and killed the suspect in a parking garage with an explosive delivered by a bomb-disposal robot. The AP quotes robotics expert Peter W. Singer at the New America Foundation as saying that, to his knowledge, this is the first instance in the United States of police killing someone with a robot.
In a statement given on Friday, Police Chief David Brown said that the robot was deployed after several hours of failed negotiations and an exchange of fire at the El Centro College parking structure where the suspect was found. “We saw no other option but to use our bomb robot and place a device on its extension for it to detonate where the suspect was,” said Brown. “Other options would have exposed our officers to great danger. The suspect is deceased as a result of detonating the bomb.”
The suspect has been identified as 25-year-old Micah Johnson, a former Army reservist and Dallas-area resident with no criminal record, according to the Los Angles Times. No other suspects have been publicly identified, but authorities have suggested that two to four shooters were involved in the attack, which killed five police officers and injured seven more. Brown said that during negotiations with the police, Johnson apparently said explicitly that he was motivated by the recent police killings in Minnesota and Louisiana, and wanted to target police officers in retribution, “especially white officers.”
Singer confirmed on Twitter that this is indeed the first reported use of lethal robots by American police, although similar tactics have been deployed in Iraq by the United States military.
https://twitter.com/peterwsinger/status/751407875696787456
Bomb-disposal robots have become an integral tool for American police and military over the last several years, allowing for personnel to resolve many deadly situations without putting additional lives at risk. Many such robots are equipped with small explosives to pre-emptively detonate larger bombs, but it is not clear whether the explosive used in this case was one of those.
San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.
Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.
Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.
The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.