Search
AI News ARCHIVE

No UBER Air Thanks to The Court

The coolest ride-sharing idea rejected by the court in Washington DC. The judge decided if any pilot wants to carry a passenger, he or she needs to have a commercial license for these service.

Daniel Okafor
Daniel OkaforSenior AI Reporter
1 min read
No UBER Air Thanks to The Court

The coolest ride-sharing idea rejected by the court in Washington DC. The judge decided if any pilot wants to carry a passenger, he or she needs to have a commercial license for these service. This type of ride-sharing could be really fun for short distance trips actually, but thanks to court in DC, it is highly possible we will not have Uber for air very long time. I believe the Judge, who gave the decision, had a good reason for not allowing little planes to carry anyone they like. And unfortunately, this little aircraft, can cause some serious problems. First of all, if you let someone carry passengers with their less flying experience, it can cause deadly accidents. Also, there are some possibilities of terrorist attacks because these planes use smaller airports with less security system or personals in them.

READ ALSO: Uber’s Biggest Fear, Just Happened in Seattle

– 
–
–
But there is still hope for people who wants to fly with planes, next to a pilot or themselves. A company called Terrafugia just has authorized by FAA to operate small Unmanned Aircraft System ( sUAS ) in their new four seats electric-hybrid model TF-X™. The company’s purpose is making an autonomous drive Model S for the air.
–

Watch the video on YouTube

–

Related Coverage

Google · Preferred Sources

Don't miss new tech stories on Google

Add TrendinTech once in the Google app and our stories appear in your news suggestions.

Add Now
Daniel Okafor

Daniel Okafor

Senior AI Reporter

Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.

All stories by Daniel Okafor (316)