There are many potentials for problems that could result in the damage of society from algorithmic decision making in driverless cars. In Horizon. [Season 53, Episode 8], Dawn of the driverless car they explain how driverless cars could be a problem because there will be some circumstance that a car will not be able to avoid such as an accident and how will the algorithm decide how to fix that situation. The video continues to explain how at first it may seem like a good thing when cars are able to drive themselves, but the downfall of this is that millions of jobs around the world are based on people driving other people around and driving resources and packages place to place. This has a high potential for problems because it can lead to a damaging effect on the economy and job market. (Winchcombe, 2017) As for driverless cars they could have physical ramifications on the public's safety because society does not know how an algorithm will adapt when a problem occurs such a large pile-up of cars. In Weapons of math destruction: how big data increases inequality and threatens democracy States “Without feedback, however, a statistical engine can continue spinning out faulty and damaging analysis while never learning from its mistakes.” (O’Neil, 2016, p. 7) This quote explains how an algorithmic type of engine could lead to a loop which could keep resulting in the same mistake. In Driverless cars of the future: How far away are we from autonomous cars? The biggest thing when making the algorithm technology with driverless cars is that they need to be to talk to each other and the infrastructure around the cars such as traffic lights and what color it is turning at a certain time. (Woollaston,2018)

In conclusion, there are many things to think about when it comes to algorithm decision making and driverless cars. There are many things to think about when these types of cars hit the road such as what kind of damage, they could cause to society physically and economically. There is also the transparency of the type of problems and statics that these algorithms will have with the world and the effects of driverless cars. Lastly, there is a scale of how these types of cars will affect people and how they will affect other things when it comes to driverless cars. These explain how O’Neil’s three components (transparency, damage or potential for damage, and scale) can relate back to the algorithm of driverless cars. Overall, new technologies will always have positive and negative effects on society and the people who use them. Driverless cars may make the road safer than we ever have seen before or algorithms such as one made in Study finds a potential risk with self-driving cars: Failure to detect dark-skinned pedestrians that because of the creators physical characterizes the algorithm did not pick up certain safety measures. (Samuel, 2019)