After 100 years of progress, AI bots have finally become too human for their own good. (Credits: Directors: Emerald Fennell & Chris Vernon; Director of Photography: Ben Kracun; Production Design: Jessica Sutton; VFX: Coffee & TV; Executive Producer, TED2018 Film Program: Sinéad McDevitt; Director of Production and Video Operations, TED: ...
Domestic workers are entrusted with the most precious aspects of people's lives -- they're the nannies, the elder-care workers and the house cleaners who do the work that makes all other work possible. Too often, they're invisible, taken for granted or dismissed as "help," yet they continue to do their wholehearted best for the families and home...
On the TED@BCG stage, AI pathfinder Philipp Gerbert dispels the myth of AI as a complex and mysterious tool for business. In reality, he says, even those of us outside Silicon Valley can have an intimate understanding of AI and put it to work today. Gerbert walks us through the ABC's of AI and what it can mean for your organization.
How can we harness the power of superintelligent AI while also preventing the catastrophe of robotic takeover? As we move closer toward creating all-knowing machines, AI pioneer Stuart Russell is working on something a bit different: robots with uncertainty. Hear his vision for human-compatible AI that can solve problems using common sense, altr...
What is AI, really? Jeff Dean, the head of Google's AI efforts, explains the underlying technology that enables artificial intelligence to do all sorts of things, from understanding language to diagnosing disease -- and presents a roadmap for building better, more responsible systems that have a deeper understanding of the world. (Followed by a ...
AI is massively transforming our world, but there's one thing it cannot do: love. In a visionary talk, computer scientist Kai-Fu Lee details how the US and China are driving a deep learning revolution -- and shares a blueprint for how humans can thrive in the age of AI by harnessing compassion and creativity. "AI is serendipity," Lee says. "It i...
The danger of artificial intelligence isn't that it's going to rebel against us, but that it's going to do exactly what we ask it to do, says AI researcher Janelle Shane. Sharing the weird, sometimes alarming antics of AI algorithms as they try to solve human problems -- like creating new ice cream flavors or recognizing cars on the road -- Shan...
Here's a paradox: as companies try to streamline their businesses by using artificial intelligence to make critical decisions, they may inadvertently make themselves less efficient. Business technologist Sylvain Duranton advocates for a "Human plus AI" approach -- using AI systems alongside humans, not instead of them -- and shares the specific ...
Educator and entrepreneur Sebastian Thrun wants us to use AI to free humanity of repetitive work and unleash our creativity. In an inspiring, informative conversation with TED Curator Chris Anderson, Thrun discusses the progress of deep learning, why we shouldn't fear runaway AI and how society will be better off if dull, tedious work is done wi...
Every year worldwide, more than 50,000 otherwise healthy people with epilepsy suddenly die -- a condition known as SUDEP. These deaths may be largely preventable, says AI researcher Rosalind Picard. Learn how Picard helped develop a cutting-edge smartwatch that can detect epileptic seizures as they occur and alert nearby loved ones in time to help.
Many artificial intelligence researchers expect AI to outsmart humans at all tasks and jobs within decades, enabling a future where we're restricted only by the laws of physics, not the limits of our intelligence. MIT physicist and AI researcher Max Tegmark separates the real opportunities and threats from the myths, describing the concrete step...
Conversing onstage with an AI persona she created just for this talk, Mariana Lin, one of the principal writers for the voice of Siri, shares what she's learned designing artificial personalities -- and calls on tech companies to get more creative when bringing AI to life in all its messy, complicated glory.
New tech spawns new anxieties, says scientist and philosopher Grady Booch, but we don't need to be afraid an all-powerful, unfeeling AI. Booch allays our worst (sci-fi induced) fears about superintelligent computers by explaining how we'll teach, not program, them to share our human values. Rather than worry about an unlikely existential threat,...
How can we make AI that people actually want to interact with? Raphael Arar suggests we start by making art. He shares interactive projects that help AI explore complex ideas like nostalgia, intuition and conversation -- all working towards the goal of making our future technology just as much human as it is artificial.
What happens when the data-driven capabilities of AI are combined with human creativity and ingenuity? Shining a light on the opportunities this futuristic collaboration could bring to the workplace, AI expert Shervin Khodabandeh shares how to redesign companies so that people and machines can learn from each other.
As Director of Stanford’s Artificial Intelligence Lab and Vision Lab, Fei-Fei Li is working to solve AI’s trickiest problems -- including image recognition, learning and language processing.
Artificial intelligence is all around us ... and the future will only bring more of it. How can we ensure the AI systems we build are responsible, safe and sustainable? Ethical AI expert Genevieve Bell shares six framing questions to broaden our understanding of future technology -- and create the next generation of critical thinkers and doers.
How smart can our machines make us? Tom Gruber, co-creator of Siri, wants to make "humanistic AI" that augments and collaborates with us instead of competing with (or replacing) us. He shares his vision for a future where AI helps us achieve superhuman performance in perception, creativity and cognitive function -- from turbocharging our design ...
Today's AI algorithms require tens of thousands of expensive medical images to detect a patient's disease. What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective? TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has deve...
What if we could form meaningful relationships with AI? IBM designer Adam Cutler argues that we're already doing this -- we name our cars and mourn our iPhones when they break -- but imagine if we could develop a deeper emotional bond with our machines. By interpreting intent through language and pairing it with tone and semantic analysis in rea...
Yann LeCun, the chief AI scientist at Facebook, helped develop the deep learning algorithms that power many artificial intelligence systems today. In conversation with head of TED Chris Anderson, LeCun discusses his current research into self-supervised machine learning, how he's trying to build machines that learn with common sense (like humans...
The future economy won't be built by people and factories, but by algorithms and artificial intelligence, says data scientist Mainak Mazumdar. But what happens when these algorithms get trained on biased data? Drawing on examples from Shanghai to New York City, Mazumdar shows how less-than-quality data leads to AI that makes wrong decisions and ...
AI algorithms make important decisions about you all the time -- like how much you should pay for car insurance or whether or not you get that job interview. But what happens when these machines are built with human bias coded into their systems? Technologist Kriti Sharma explores how the lack of diversity in tech is creeping into our AI, offeri...
As a lawyer, Andrew Arruda too often saw the scales of justice tip in favor of the wealthy and partnered with a computer scientist to create the world's first artificially intelligent legal assistant, ROSS. By speeding up legal research, Arruda wants ROSS to make the practice of law cheaper and fulfill the original promise of "justice for all."
In this eye-opening talk, computational imaging researcher Julie Chang discusses how we can customize AI-driven photo applications to improve their ability to perform tasks such as facial recognition.