The term AI, or artificial intelligence, is thrown around as a kind of panacea for all smart automation technologies out there. Most of what I read about AI is overgeneralized and lacks the nuance necessary to help people understand more about the specific technologies involved and how they are evolving. A greater understanding of AI and how it will change our relationship with technology is what I'm looking to provide in this blog post.

Large-scale adoption of automated software development (ASD) technologies is both inevitable and closer than most people realize — and it's going to be a disruptive force in the software development industry. Sound far-fetched? It's not when you consider recent history.
While we tend to think tech companies are driven by innovation, the reality is that innovation often takes a back seat to cost savings. In fact, we're nearly 20 years into the widespread offshoring of U.S. software development jobs to lower cost regions. In the beginning, offshoring was extremely unpopular in the U.S., but IBM and many other major players took the heat and did it anyway.

Trick question: What is the name of the field of study devoted to understanding the nature of intelligence?

Answer: There isn't one. In fact, there is no unified scientific lens through which intelligence is studied. Complicating things further, the various fields or lenses we do have all come with built-in biases. Psychological and medical definitions, for example, tend to focus on the cognitive and emotional abilities of the human brain.

AI, on the other hand, has so far mostly been described in terms and concepts from advanced mathematics, physics, and electrical engineering — basically, in the language of the people who created AI.