Monday, November 18, 2019

Limits of Language in the AI Debate


In this episode of the @Gigaom #AIMinute host @ByronReese talks about the nature of the words we use to describe and discuss #AI and the constraints thereof. For more on Artificial Intelligence: https://voicesinai.com https://gigaom.com https://byronreese.com https://ift.tt/31WftGA... Transcript: Anyone having an in depth conversation about artificial intelligence quickly realizes that the nature of the words we use to describe it are problematic. In fact, I would go so far as to say that our language in its rigid structure is an actual impediment to understanding the technology. The words that we use in fact when we’re discussing it often don’t have any real clear definition. When you think of a word like “reason,” it used to be okay that it was kind of vague because the only thing we ever really contemplated to applying it to were humans, or maybe animals. But what is intelligence? What is understanding? What does it mean to see something? What does it mean to know something? What is thinking? What is perceiving? What is experiencing? Can a computer do any of this? Can a computer be creative? Can it be insightful? Can it feel? Can a machine realize something, can a machine conclude something? We hardly agree on how to describe consciousness, and when it comes to the idea of life and death, there’s even less agreement, nor an understanding of how these terms would apply to machines. Because all of these terms evolved in a universe where they only had to apply to organic biological organisms, they are understandably ill-suited to grappling with questions like digital love or machine consciousness. We find ourselves equipped with linguistic square pegs in a round hole universe. And it’s no wonder that things get muddled as we plow forward. It is as if we are now grappling with questions like, “What does 7 want?” or “How does blue taste?” In the case of computers, a question like “Can machines think?” would seem equally nonsensical, except for the simple fact that it no longer is. There is no path out of this, or at least no path in the short term. Our view of reality is shaped by the words we have at our disposal. Machines can either think or they can’t. We don’t have a word like “flaved” of “vimvom” to convey some new mechanical form of thinking, an intermediate reality. And so encumbered, we must still push forward.

No comments: