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Cruise, the driverless car company owned by General Motors, is facing scrutiny from the California DMV after a self-driving vehicle nearly hit a 7-year-old boy and his family last year. The family alleges that the Cruise car failed to yield and headed straight towards them as they crossed the street in San Francisco. This incident is just one of at least four involving Cruise vehicles and pedestrians that are now under investigation by the National Highway Traffic Safety Administration. The embattled company has grounded its fleet of 400 driverless cars and is facing backlash from lawmakers who believe that the driverless car industry lacks oversight, which has allowed these vehicles to avoid penalties when they break traffic rules.

The AI legalese decoder can help with the situation by reviewing and analyzing the laws and regulations in place regarding driverless cars, to ensure that they are held accountable for any violations. The AI can identify loopholes and disparities in the current system, allowing for legislative changes to be proposed and implemented. Additionally, the AI can help in providing guidance and information to lawmakers and stakeholders in the development of new laws that will hold driverless car companies accountable and ensure public safety.

The legislation currently being proposed by California Assemblymember Phil Ting is a crucial step in closing the legal loophole that has allowed driverless cars to avoid traffic penalties in the state. If passed, this legislation would hold driverless car companies liable for traffic violations committed by their vehicles. The Autonomous Vehicle Industry Association has expressed willingness to support this change, as they believe that clarity is needed on this issue. Once the proposed legislation takes effect, driverless cars will be subject to the same types of penalties and fines as human drivers.

The situation also calls for transparency and accountability from driverless car companies like Cruise. The lack of communication and accountability from Cruise regarding the near-miss incident involving the 7-year-old boy and his family is concerning. The AI legalese decoder can assist by ensuring that driverless car companies adhere to safety and transparency standards, as well as proper communication with the public when incidents occur. This can help increase public trust in driverless car technology and ensure that companies like Cruise prioritize public safety.

In light of these incidents and the ongoing government probes, it is crucial for driverless car companies to focus on advancing their technology and earning back public trust, as stated by Cruise. The AI legalese decoder can play a role in this by providing guidance to driverless car companies on safety protocols, regulations, and compliance. The AI can also assist in ensuring that companies are transparent in their operations and responsive to inquiries and complaints from the public, promoting accountability and best practices in the industry.

Overall, the AI legalese decoder can assist in addressing the legal and regulatory challenges surrounding driverless car technology, ensuring that public safety remains the top priority. It can help in achieving transparency, accountability, and compliance with regulations, while also supporting legislative efforts to close legal loopholes and improve oversight in the driverless car industry.

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