A.I. in Automobiles
Alexander van der Meulenにより
1. Manufacturers
1.1. Engineers
1.1.1. Google
1.1.1.1. Waymo
1.1.2. Tesla
1.1.3. Nvidia
1.2. Responsible for developing safety protocols and performing extensive testing
1.2.1. Potential lawsuits
1.3. Third parties
1.3.1. Others might create apps and extensions for cars software
2. Drivers
2.1. Allows for lesser trained individuals to operate vehicles
2.2. At risk if anything ever goes wrong and they don't have control over their car
2.3. GPS and navigation systems allow for drivers to find an efficient path to their destination
2.4. Can be targeted by hackers
2.5. Less accidents due to human error, such as DUI
2.6. Accurate perception that allows reduce liability over irresponsible drivers
2.7. Increased independence for disabled or elderly
3. Pedestrians
3.1. May be put in danger when self driving software does not perform well
4. Economy
4.1. Pulls some customers away from traditional vehicles
4.2. Growth and employment opportunities
4.2.1. Steel production and manufacturing
4.2.2. computer chip production
4.2.3. research and development
4.3. More expensive generally
5. Transportation industry
5.1. Delivery Drivers / Truckers
5.1.1. Automation and unemployment
5.2. Taxi services
5.3. Company managers
5.3.1. Accepts more fault when things go wrong
6. Department of Transportation
6.1. Updated traffic laws
6.1.1. Who can operate fully autonomous cars?