San Francisco: Video of the first self-driving car crash that killed a pedestrian showed how the autonomous Uber failed to slow down as it fatally hit a 49-year-old woman walking her bike across the street.
The newly released footage of the collision that killed Elaine Herzberg in Tempe, Arizona, on Sunday night has raised fresh questions about why the self-driving car did not stop when a human entered its path and has sparked scrutiny of regulations in the state, which has encouraged testing of the autonomous technology.
“It’s just awful,” Tina Marie Herzberg White, a stepdaughter of the victim, told the Guardian on Wednesday. “There should be a criminal case.”
Police have released two videos of the case – one outside and one showing the interior of the Volvo SUV. The four-second exterior video showed the car driving down a somewhat dark and largely empty street as it collided into the woman walking directly in its path.
The 14-second video inside the car showed the operator, identified by police as Rafaela Vasquez, 44, appearing to look at something inside the vehicle and not at the road at the time of the collision. She alternated between looking down and looking forward and appeared shocked at the last minute just as the car failed to stop.
Local prosecutors will decide whether criminal charges are warranted. Some have argued that under new rules issued by Arizona’s governor, a strong proponent of the technology, a company like Uber could possibly be criminally liable if an autonomous car negligently killed someone. But police chief Sylvia Moir suggested in an interview that she believed Uber wasn’t at fault.
Let the Truth be known. If you read VB and like VB, please be a VB Supporter and Help us deliver the Truth to one and all.
New Delhi (PTI): A Private Member's Bill seeking a clear legal framework for regulation of deepfakes has been introduced in the Lok Sabha.
The Regulation of Deepfake Bill, introduced by Shiv Sena leader Shrikant Shinde in the House on Friday, aims to protect citizens by mandating prior consent from individuals depicted in deepfake content.
"Misuse of deepfakes for harassment, deception and misinformation has escalated, creating an urgent need for regulatory safeguards," Shinde said.
The Bill also lists penalties for offenders creating or disseminating deepfake content with malicious intent.
"With advancements in artificial intelligence and deep learning, deepfake technology has emerged as a significant tool for media manipulation. While the technology has potential applications in education, entertainment and creative fields, it also poses severe risks when misused, threatening individual privacy, national security and public trust," Shinde said in the statement of objects and reasons in the Bill.
The proposed Bill seeks to establish a clear legal framework to govern the creation, distribution and application of deepfakes in India, said Shinde, a three-term Lok Sabha member from Kalyan.
The Bill also seeks to establish the Deepfake Task Force, a dedicated body to combat national security implications and evaluate the influence of deepfakes on privacy, civic participation, and potential election interference.
The task force will collaborate with academic and private sector institutions to develop technologies that detect manipulated content, thereby promoting credibility in digital media.
The Bill also proposes to establish a fund to support public and private sector initiatives in the detection and deterrence of advanced image manipulation.
A Private Member's Bill is a procedure of Parliament that enables lawmakers, who are not ministers, to draw attention to issues that might not be represented in Government Bills or to highlight the issues and gaps in the existing legal framework that require legislative intervention.
