Waymo opens driverless autonomous vehicles to Phoenix public
Waymo, a stablemate of Google under the Alphabet umbrella, has announced it is to offer driverless trips to the general public in Phoenix, Arizona.
The move is the culmination of a testing initiative in the city, where it has operated self-driving vehicles in a 100 square mile area since 2017. In late 2018, the company debuted a ride-hailing service known as Waymo One.
Waymo in Phoenix back in May, after disruption caused by the ongoing COVID-19 pandemic, at the same time announcing a gargantuan from participants including Silver Lake and the Canada Pension Plan Investment Board.
Now, it says that members of the general public will be able to use the Waymo One app to book fully driverless rides.
For safety reasons, initially a driver was always present in case of emergency, but in 2020 between 5 and 10% of rides have been fully driverless.
In , CEO John Krafcik said: “In the near term, 100% of our rides will be fully driverless. We expect our new fully driverless service to be very popular, and we’re thankful to our riders for their patience as we ramp up availability to serve demand. Later this year, after we've finished adding in-vehicle barriers between the front row and the rear passenger cabin for in-vehicle hygiene and safety, we'll also be re-introducing rides with a trained vehicle operator, which will add capacity and allow us to serve a larger geographical area.”
The race to achieve a functioning public robotaxi network has increasingly narrowed to a few financially muscled competitors. Waymo’s competitors include the likes of Tesla, which is planning a distributed network Tesla owners can sign their vehicles up to, and Chinese firm DiDi, which has been conducting its own autonomous vehicle trials in the city of Guangzhou.
ICO warns of privacy concerns on the use of LFR technology
“I am deeply concerned about the potential for live facial recognition (LFR) technology to be used inappropriately, excessively, or even recklessly. When sensitive personal data is collected on a mass scale without people’s knowledge, choice or control, the impacts could be significant,” said Elizabeth Denham, the UK’s Information Commissioner.
Denham explained that with any new technology, building public trust and confidence in the way people’s information is used is crucial so the benefits derived from the technology can be fully realised.
“It is not my role to endorse or ban a technology but, while this technology is developing and not widely deployed, we have an opportunity to ensure it does not expand without due regard for data protection,” Denham added.
The Information Commissioner’s Office has said it will work with organisations to ensure that the use of LFR is lawful, and that a fair balance is struck between their own purposes and the interests and rights of the public. They will also engage with Government, regulators and industry, as well as international colleagues to make sure data protection and innovation can continue to work hand in hand.
What is live facial recognition?
Facial recognition is the process by which a person can be identified or recognised from a digital facial image. Cameras are used to capture these images and FRT software measures and analyses facial features to produce a biometric template. This typically enables the user to identify, authenticate or verify, or categorise individuals.
Live facial recognition (LFR) is a type of FRT that allows this process to take place automatically and in real-time. LFR is typically deployed in a similar way to traditional CCTV in that it is directed towards everyone in a particular area rather than specific individuals. It can capture the biometric data of all individuals passing within range of the camera indiscriminately, as opposed to more targeted “one-to-one” data processing. This can involve the collection of biometric data on a mass scale and there is often a lack of awareness, choice or control for the individual in this process.
Why is biometric data particularly sensitive?
Biometrics are physical or behavioural human characteristics that can be used to digitally identify a person to grant access to systems, devices, or data. Biometric data extracted from a facial image can be used to uniquely identify an individual in a range of different contexts. It can also be used to estimate or infer other characteristics, such as their age, sex, gender, or ethnicity.
The security of the biometric authentication data is vitally important, even more than the security of passwords, since passwords can be easily changed if they are exposed. A fingerprint or retinal scan, however, is immutable.
The UK courts have concluded that “like fingerprints and DNA [a facial biometric template] is information of an “intrinsically private” character.” LFR can collect this data without any direct engagement with the individual. Given that LFR relies on the use of sensitive personal data, the public must have confidence that its use is lawful, fair, transparent, and meets the other standards set out in data protection legislation.