Most people from the ages of 8 to 80 benefit from some form of artificial intelligence. From internet browsing to phone apps to car safety features, the technology informs many of the conveniences we embrace on a daily basis. Because the evolution of self-learning technologies continues to advance at such a rapid pace, it can be difficult to assess where it's ultimately going and the extent to which it could alter our lives in the process. Machine Learning: Living in the Age of AI provides a lively and informative dissertation on the possibilities of this flourishing technology.
The film's overall tone is one of positivity; it's focused on separating the dystopian hype from the more comforting realities. The filmmakers outline the inner building blocks of artificial intelligence, and demonstrate how the technology reads, interprets and expands upon data. Most of the film's running time is devoted to showcasing how AI can benefit the future of mankind in areas as diverse as agriculture, medical care and travel.
We meet a young entrepreneur who is developing the technologies to detect pancreatic cancer at its earliest stages when it is most treatable. We witness the teams at the forefront of the self-driving car movement. We learn how farmers utilize drones to map out the most fertile soil for their crops. We see a 70-year old retiree embrace virtual gaming, and eavesdrop on a class of elementary school children as they learn how the technology can unite us all as never before.
In the eyes of those at the forefront of these developments, artificial intelligence represents a thrilling and essential evolution. The technology will assist us in becoming more productive, open up exciting new employment opportunities, and enhance the conveniences that we rely on during our day to day.
Machine Learning: Living in the Age of AI isn't blind to the potential pitfalls, however. A panel of expert interview subjects addresses issues related to data security, digital fakery and the threat of an autonomous workforce. They affirm the need to set rules and regulations, but remain convinced that the long-term benefits far outweigh the risks.