If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
AGI, Artificial General Intelligence, is the dream of some researchers -- and the nightmare of the rest of us. While AGI will never be able to do more than simulate some aspects of human behavior, its gaps will be more frightening than its capabilities. Will humans be interacting with seemingly intelligent robots in ten years? Yes, and we already are. Will robots be ubiquitous in our lives, with human-like abilities such as emotions, unsupervised learning?
If you had asked me a year or two ago when Artificial General Intelligence (AGI) would be invented, I'd have told you that we were a long way off. Most experts were saying that AGI was decades away, and some were saying it might not happen at all. The consensus is -- was? -- that all the recent progress in AI concerns so-called "narrow AI," meaning systems that can only perform one specific task. An AGI, or a "strong AI," which could perform any task as well as a human being, is a much harder problem. It is so hard that there isn't a clear roadmap for achieving it, and few researchers are openly working on the topic. GPT-3 is the first model to shake that status-quo seriously. GPT-3 is the latest language model from the OpenAI team.
Editor's note: The Towards Data Science podcast's "Climbing the Data Science Ladder" series is hosted by Jeremie Harris. Jeremie helps run a data science mentorship startup called SharpestMinds. Most machine learning models are used in roughly the same way: they take a complex, high-dimensional input (like a data table, an image, or a body of text) and return something very simple (a classification or regression output, or a set of cluster centroids). That makes machine learning ideal for automating repetitive tasks that might historically have been carried out only by humans. But this strategy may not be the most exciting application of machine learning in the future: increasingly, researchers and even industry players are experimenting with generative models, that produce much more complex outputs like images and text from scratch. These models are effectively carrying out a creative process -- and mastering that process hugely widens the scope of what can be accomplished by machines.
Artificial Intelligence is an umbrella term used to describe a rapidly evolving, highly competitive technological field. It is often used erroneously and has come to define so many different approaches that even some experts are not able to define, in plain terms, exactly what artificial intelligence is. This makes the rapidly growing field of AI tricky to navigate and even more difficult to regulate properly. The point of regulation should be to protect people from physical, mental, environmental, social, or financial harm caused by the actions or negligence of others. For this article, let's stick to the general point described above).
The ultimate vision of artificial intelligence are systems that can handle the wide range of cognitive tasks that humans can. The idea of a single, general intelligence is referred to as Artificial General Intelligence (AGI), which encopmasses the idea of a single, generally intelligent system that can act and think much like humans. However, we have not yet achieved this concept of the generally intelligent system and as such, current AI applications are only capable of narrow applications of AI such as recognition systems, hyperpersonaliztion tools and recommendation systems, and even autonomous vehicles. This raises the question: Is AGI really around the corner, or are we chasing an elusive goal that we may never realize? Dr. Ben Goertzel CEO & Founder of the SingularityNET Foundation is particularly visible and vocal on his thoughts on Artificial Intelligence, AGI, and where research and industry are in regards to AGI. Speaking at the (Virtual) OpenCogCon event this week, Dr. Goertzel is one of the world's foremost experts in Artificial General Intelligence.
Should you feel bad about pulling the plug on a robot or switch off an artificial intelligence algorithm? But how about when our computers become as smart--or smarter--than us? Debates about the consequences of artificial general intelligence (AGI) are almost as old as the history of AI itself. Most discussions depict the future of artificial intelligence as either Terminator-like apocalypse or Wall-E-like utopia. But what's less discussed is how we will perceive, interact with, and accept artificial intelligence agents when they develop traits of life, intelligence, and consciousness.
Artificial intelligence is an increasingly contemporary topic. Whether it is scientific, medical, industrial, or even artistic, it poses humanity to ethical and moral questions of enormous proportions. Going through the classic science fiction canonisms with the contemporary scientific chronicle suggests a story that raises questions about the value of emotions, feelings, and the possible coexistence of the human being with the car. At the heart of the story is a young pair of researchers who get the job of testing an evolved artificial intelligence model. The android should be subjected to field testing by inviting an unknown host to interact by simulating human attitudes.
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Should you feel bad about pulling the plug on a robot or switch off an artificial intelligence algorithm? But how about when our computers become as smart--or smarter--than us? Debates about the consequences of artificial general intelligence (AGI) are almost as old as the history of AI itself. Most discussions depict the future of artificial intelligence as either Terminator-like apocalypse or Wall-E-like utopia.
I don't know whether you know it or not… but there are a lot of misconceptions surrounding artificial intelligence. While some assume it means robots coming to life to interact with humans, other ones believe it is a superintelligence that soon will take over the world. Well, I consider this to be very discouraging. Not for me to explain the importance of knowing what AI is and what it can really do (especially if you are thinking about establishing your own AI expertise, or you are already using it). Today, I offer to take care of terminology and don't be so naive anymore. In this article, I'll aim to highlight some of the most necessary concepts in a clear, straightforward way. So, feel free to grab your coffee and a comfortable chair, and just dive in.