Every time we use Google, purchase an item on Amazon, write an email with Gmail, or post something on Facebook, we interact with computer algorithms that adapt to our Internet activity. Apps can translate spoken English sentences into spoken Chinese. “Deep learning” programs find patterns and can help doctors diagnose cancer or help singles find mates. In the court system, judges can use software to analyze patterns in criminal behavior before passing sentences. We call our phones and our weapons “smart,” and all of these advances in technology are said to use artificial “intelligence.”
We may wonder, What is intelligence? What’s the difference, if any, between an organism and a machine that can seek an object, read signs, or identify a pattern? Both can obtain goals, set either by evolution or design. Do organisms and machines use similar methods for learning, classifying, remembering and interpreting? Are animals and people really just organic machines? If so, could science eventually make machines that can learn to make up their own minds as robots do in science fiction? In this presentation, we will talk about some of the differences between the present-day artificial intelligence and biological intelligence. Specifically, we will learn about biologists studying cell signaling who say that even the simplest unit of life can make interpretations in ways that smart machines do not. Animals can take advantage of chance associations, which machines are usually designed to ignore, and machine learning programs are not designed to invent new knowledge–not yet anyway.
Examining smart technologies can inspire us to learn about our own learning processes and help us decide whether or not it’s a good idea to rely on machines to make judgements.