Tesla’s staggering insurance conflict of interest will kill more people

Let me see if I have this right. A company that offers an automation system in development, where 5 people have died needlessly so far, that uses its customers, their families and the public around them as Guinea pigs, in an untenable and needlessly dangerous engineering process, who never shares the data with those customers/owners and whose CEO and even live demo misleads people into using improperly in conflict with their own legal statements, to entice them into being his AP test Kamikaze drivers, will be able to decide on fault and accident payout?

This is a ploy by the Pied Piper Elon Musk to enlist more Kamikaze drivers to test his code and to avoid paying claims when AP fails and these Guinea pigs do as Musk does, by letting go of the wheel, vs what he says in his manual, which is to not let go of the wheel. And as I stated Tesla holds all of the data the customer or suicide drivers never see. The conflict of interest and gross negligence here is staggering.

More on POV here

Tesla is exposing Autonomous Vehicle Industry’s avoidably Dangerous and Impossible Engineering Approach

Autonomous Vehicles need to Have Accidents to Develop this Technology

Using the Real World is better than Proper Simulation for Autonomous Vehicle Development — NONSENSE

The Hype of Geofencing for Autonomous Vehicles

SAE Autonomous Vehicle Engineering Magazine-End Public Shadow Driving

My name is Michael DeKort — I am a former system engineer, engineering and program manager for Lockheed Martin. I worked in aircraft simulation, the software engineering manager for all of NORAD, the Aegis Weapon System, and on C4ISR for DHS.

Key Industry Participation

- Lead — SAE On-Road Autonomous Driving SAE Model and Simulation Task

- Member SAE ORAD Verification and Validation Task Force

- Member DIN/SAE International Alliance for Mobility Testing & Standardization (IAMTS) Sensor Simulation Specs

- Stakeholder for UL4600 — Creating AV Safety Guidelines

- Member of the IEEE Artificial Intelligence & Autonomous Systems Policy Committee (AI&ASPC)

- Presented the IEEE Barus Ethics Award for Post 9/11 Efforts

My company is Dactle

We are building an aerospace/DoD/FAA level D, full L4/5 simulation-based testing and AI system with an end-state scenario matrix to address several of the critical issues in the AV/OEM industry I mentioned in my articles below. This includes replacing 99.9% of public shadow and safety driving. As well as dealing with significant real-time, model fidelity and loading/scaling issues caused by using gaming engines and other architectures. (Issues Unity will confirm. We are now working together. We are also working with UAV companies). If not remedied these issues will lead to false confidence and performance differences between what the Plan believes will happen and what actually happens. If someone would like to see a demo or discuss this further please let me know.

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