There’s a lot of chatter lately about chatbots and the artificial intelligence that helps them converse like a real person. Chatbots Decoded: Exploring AI is a new immersive exhibit that helps visitors navigate both the hopes and fears around this new technology.
Find out what chatbots are, why they matter, and where they come from. Interact with a chatbot-powered robot and some of the first chatbots, learn important lessons from history and insights from leading experts, and consider what just might come next.
Plan a visit to CHM or explore the exhibit online.
The exhibit features Ameca, a remarkable robot created by Engineered Arts. It uses state-of-the-art hardware, sensors, facial recognition software, and large language models, like Open AI’s GPT-4 to interact with visitors.
You can ask Ameca to answer questions, tell you a story in the style of your favorite writer, or create a rap song—in English, Mandarin, Japanese, Spanish, French, Portuguese, German, or Russian!
New technologies spark hopes and fears. Throughout history, machines have sometimes replaced workers. They’ve also lightened our loads. Chatbots fill a gap long missing in technology: the ability to converse with us naturally. They’ll likely take us someplace new. The question is, where?
The Writers Guild strikers settled with film studios in September 2023, after a court ruled that AI-only works can’t be copyrighted. The settlement also won several AI protections for writers.
We’re in the midst of a technological explosion. New systems, capabilities, and players continually arise. Leaders worldwide are debating how to regulate AI. Companies are testing potential uses. We won’t know where we’re headed until the dust settles. In the exhibit, experts to share their thoughts on what’s most important to understand about chatbots, and what might lie ahead.
Timnit Gebru documented biases baked into large language models and chatbots.
Chatbots are computer programs designed to engage in conversation using everyday natural language. To accomplish this, creators have drawn on evolving artificial intelligence techniques and computer capabilities.
Conversation was key to “social robots” introduced in the 2010s. Pepper was to be a guide in stores, airports, and elsewhere.
The dream of talking machines is centuries old and inspired countless myths and stories. These, in turn, have influenced our technological goals. And because we associate speaking with thinking, each advance prompts us to reevaluate how we define intelligence.
Unveiled in 1770, the “Mechanical Turk” astonished people by seeming to play chess, but a human was hidden inside.
Digital computers’ math and logic abilities—once signature feats of human intelligence—unleashed speculation that computers could master other human abilities. By the mid 1950s, such hopes spurred researchers to propose a new field: “artificial intelligence.” The race was on to build a machine that could think and learn.
Charles W. Wightman, Jr., a Cornell Aeronautical Laboratory engineer, trained the Perceptron Mark I neural network in 1960 to recognize the letter “C.”
New technologies spark hopes and fears. Throughout history, machines have sometimes replaced workers. They’ve also lightened our loads. Chatbots fill a gap long missing in technology: the ability to converse with us naturally. They’ll likely take us someplace new. The question is, where?
The Writers Guild strikers settled with film studios in September 2023, after a court ruled that AI-only works can’t be copyrighted. The settlement also won several AI protections for writers.
We’re in the midst of a technological explosion. New systems, capabilities, and players continually arise. Leaders worldwide are debating how to regulate AI. Companies are testing potential uses. We won’t know where we’re headed until the dust settles. In the exhibit, experts to share their thoughts on what’s most important to understand about chatbots, and what might lie ahead.
Timnit Gebru documented biases baked into large language models and chatbots.
Chatbots are computer programs designed to engage in conversation using everyday natural language. To accomplish this, creators have drawn on evolving artificial intelligence techniques and computer capabilities.
Conversation was key to “social robots” introduced in the 2010s. Pepper was to be a guide in stores, airports, and elsewhere.
The dream of talking machines is centuries old and inspired countless myths and stories. These, in turn, have influenced our technological goals. And because we associate speaking with thinking, each advance prompts us to reevaluate how we define intelligence.
Unveiled in 1770, the “Mechanical Turk” astonished people by seeming to play chess, but a human was hidden inside.
Digital computers’ math and logic abilities—once signature feats of human intelligence—unleashed speculation that computers could master other human abilities. By the mid 1950s, such hopes spurred researchers to propose a new field: “artificial intelligence.” The race was on to build a machine that could think and learn.
Charles W. Wightman, Jr., a Cornell Aeronautical Laboratory engineer, trained the Perceptron Mark I neural network in 1960 to recognize the letter “C.”
New technologies spark hopes and fears. Throughout history, machines have sometimes replaced workers. They’ve also lightened our loads. Chatbots fill a gap long missing in technology: the ability to converse with us naturally. They’ll likely take us someplace new. The question is, where?
The Writers Guild strikers settled with film studios in September 2023, after a court ruled that AI-only works can’t be copyrighted. The settlement also won several AI protections for writers.
We’re in the midst of a technological explosion. New systems, capabilities, and players continually arise. Leaders worldwide are debating how to regulate AI. Companies are testing potential uses. We won’t know where we’re headed until the dust settles. In the exhibit, experts to share their thoughts on what’s most important to understand about chatbots, and what might lie ahead.
Timnit Gebru documented biases baked into large language models and chatbots.