People have long dreamed of the idea of machines having the intelligence and capabilities of humans. From the early Greek myths of Hephaestus and his automatons to the Golem of Eastern European Jewish tradition to well over a hundred years of science fiction stories, novels and movies, our human imaginations have envisioned what it would be like to have sentient, intelligent, human-like machines co-exist with us. In 1920 Karel Čapek’s play R.U.R. (Rossum’s Universal Robots) first coined the word “robot” and gave us a name to give to the creations of our imaginations. In many ways, the quest for the intelligent machine lead to the development of the modern computer. Ideas by Alan Turing not only formulated the basis of programmable machines, but also the core of the concepts of artificial intelligence, with the namesake Turing Test providing a means for evaluating intelligent machines.
Yet, with centuries of technology advancement and the almost exponential increase of computing resources, data, knowledge, and capabilities, we still have not yet achieved the vision of Artificial General Intelligence (AGI) — machines that can be an equal counterpart of human ability. We’re not even close. We have devices we can talk to that don’t understand what we’re saying. We have cars that will happily drive straight into a wall if that’s what your GPS instructs it to do. Machines are detecting images but not understanding what they are. And we have amazing machines that can beat world champions at chess and Go and multiplayer games, but can’t answer a question as basic as “how long should I cook a 14 pound turkey?” We’ve mastered computing. We’ve wrangled big data. We’re figuring out learning. We have no idea how to achieve general intelligence.
Part of the reason for this disconnect is confusing the various things that we’ve developed as a result of our quest for the intelligent machine from the quest itself. Artificial intelligence is not a technology. Asking the question whether or not some particular technology is or isn’t AI is missing the point. Artificial intelligence is the journey. It’s the quest for the intelligent machine. All the technologies we’ve developed on the route to that quest are things that are individually useful, but all together, have not yet gotten us to the goal. This is why it’s important to understand that artificial intelligence is not a technology, in much the same way that the Space Race is not a technology.
Principal Analyst at Cognilytica
Kathleen is a principal analyst, managing partner, and founder of Cognilytica, an AI research and advisory firm, and co-host of the popular AI Today podcast. She is a serial entrepreneur, savvy marketer, AI and Machine Learning expert, and tech industry connector. Kathleen spent many years as the Content and Innovation Director for TechBreakfast, the largest monthly morning tech meetup in the nation with over 50,000 members and 3000+ attendees at the monthly events across the US. In addition she is a SXSW Innovation Awards Judge and AI / Hardware Meetup organizer. As a master facilitator and connector, who is well connected in the technology industry, Kathleen regularly meets with innovators in key markets and gets the opportunity to see the latest and newest technologies from game changing companies. You can learn more about her firm at Cognilytica and find her on Twitter at: @kath0134