Why isn't AI driving my car yet? - A brief exploration of autonomous vehicles and analogous life-vital ML systems
Optimally, once a self-driving car model can be developed and consistently achieve an F-score that outperforms the human equivalent we need all humans to stop driving in favor of the better alternative. Unfortunately, this would no doubt be an ethical and legal nightmare. People don’t want to give up their autonomy to a “machine” even if it is theoretically safer. Or not yet at least. In this post I want to explore a bit about why that might be, and what advantages a human driver could have over a purely digital one. The most dangerous aspect of when applying machine learning to problems vital to life or organizational viability in the context of the reading is ML's inability to adapt to unfamiliar input. This is a well-founded concern considering the behavior of AI as pointed by Zhi Quan Zhou’s Case Against Mission-Critical Applications of Machine Learning and the subsequent author response. In the short term, it is wise to continue to rely on machine learning as a simple tool ...