Skip to main content

Consumer Watchdog calls on NHTSA to strength rules on autonomous cars

The US Consumer Watchdog has called on the National Highway Traffic Safety Administration (NHTSA) to require a steering wheel, brake and accelerator so a human driver can take control of a self-driving robot car when necessary in the guidelines it is developing on automated vehicle technology. In comments for a NHTSA public meeting about automated vehicle technology, John M. Simpson, Consumer Watchdog's privacy project director, also listed ten questions he said the agency must ask Google about its self-
April 11, 2016 Read time: 2 mins
The US Consumer Watchdog has called on the 834 National Highway Traffic Safety Administration (NHTSA) to require a steering wheel, brake and accelerator so a human driver can take control of a self-driving robot car when necessary in the guidelines it is developing on automated vehicle technology.

In comments for a NHTSA public meeting about automated vehicle technology, John M. Simpson, Consumer Watchdog's privacy project director, also listed ten questions he said the agency must ask Google about its self-driving robot car program.

These include, amongst others: whether Google will agree to publish its software algorithms, including how the company's artificial car intelligence will be programmed to decide what happens in the event of a potential collision; whether Google will publish a complete list of real-life situations, such as police hand signals, the cars cannot yet understand and how it intends to deal with them; how Google will prove that self-driving cars are safer than today's vehicles; does Google have the technology to prevent malicious hackers from seizing control of a driverless vehicle or any of its systems.

"Deploying a vehicle today without a steering wheel, brake, accelerator and a human driver capable of intervening when something goes wrong is not merely foolhardy.  It is dangerous," said Simpson. "NHTSA's autonomous vehicle guidelines must reflect this fact."

Related Content

  • Europe’s road safety record suffers as austerity bites hard, traffic police chiefs are told at TISPOL 2017
    March 7, 2018
    Europe’s leading traffic police chiefs are struggling with the challenge of how best to manage the region’s road network in an era of austerity. Things are changing fast, and not for the better, reports Geoff Hadwick. Europe’s road safety record is under threat. Police budgets are being slashed, staff numbers are falling and a long-term trend towards ever-fewer road deaths has ground to a halt. The line on the graph has flat-lined. Does Europe’s road network face a far more dangerous future? Lower and
  • Big data and self-driving cars: New studies from ITF
    May 29, 2015
    Two new reports launched by the International Transport Forum (ITF) during the Annual Summit of Transport Ministers in Leipzig, Germany, highlight issues for the transport sector: the use of big data and the trend towards automated cars. The ITF claims that failing to ensure strong privacy protection in the collection and processing of location data may result in a regulatory backlash against the technology, which could hamper innovation and limit the social and economic benefits the use of such data delive
  • Volkswagen emissions – ‘a missing global standard is the issue’ say UK organisations
    September 24, 2015
    The UK’s Transport Research Laboratory (TRL) and research organisation Frost and Sullivan have both commented on the Volkswagen diesel emissions scandal, which has resulted in the resignation of CEO Martin Winterkorn. The world's biggest carmaker by sales has admitted to US regulators that it programmed its cars to detect when they were being tested and altered the running of their diesel engines to conceal their true emissions. Winterkorn said, “I am shocked by the events of the past few days. Above
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a