Artificial Intelligence is pretty easily defined as a machine or computer that is capable of doing some level of computation that could normally be done by a human. This could be as simple as making a decision based on a math comparison, or as complex as hearing a question and being able to formulate a coherent and accurate response. It is similar to what I consider to be human intelligence in the fact that it can take a problem, no matter how simple, and provide an answer or a solution to said problem. How it differs, in my opinion, is that it doesn’t have human reason. That is, computers and AI generally are unable to take in non-material components, such as compassion, ethics, and other human emotions that can sometimes factor into decisions. For example, if there’s an AI that makes business decisions based solely on numbers, it can’t take into account the ethics of huge business layoffs and the effects those have on employees; it can only look at the situation from a pure numbers perspective.
I think that AlphaGo, Deep Blue, and Watson are all proof of the viability and the power of AI. They each are programmed to perform a specific task, and have proven that they can do these tasks on par–and sometimes better–than human professionals in that same field. AlphaGo and Deep Blue were able to defeat world champions in Go and chess, respectively, and Watson was able to defeat past champions on Jeopardy. While these are certainly crowning achievements and show how far computer science, technology, and artificial intelligence have come, there is no reason to believe that the advancement of AI will stop there.
I think that the Chinese Room is a good counter argument for the Turing Test in the sense that I described above. An AI can never fully take in the human components that are a part of human intelligence, so therefore they are just a strong program, or a “strong AI” that is able to interpret certain events so that it can properly respond.
Related to this is my opinion that a computing system can never fully be considered a mind. There are too many intangibles, such as emotions, relationships, and the fact that different humans respond to different situations differently that factor into decisions for a system to fully be able to mimic human intelligence. In a sense, humans are biological computers because we take in certain factors to a problem or question and are able to use these factors to come up with an answer or a solution. The fact still remains, though, that humans are able to take in some factors that computers aren’t, making us a different breed of computers. The ethical implications of this are that we shouldn’t fully rely on computers to make our decisions for us. There are many ways in which they can help us come up with solutions and present the problem in a simplified way, but there are too many human elements involved in everyday decision making to allow computers and AI to fully take over.