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«Ideas worth spreading»

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👁The incredible creativity of deepfakes -- and the worrying future of AI
🧠Tom Graham
🗣Subtitle: 🇬🇧English | 🇹🇷Turkish

👣AI-generated media that looks and sounds exactly like the real world will soon permeate our lives. How should we prepare for it? AI developer Tom Graham discusses the extraordinary power of this rapidly advancing technology, demoing cutting-edge examples -- including real-time face swaps and voice cloning -- live from the TED stage. In conversation with head of TED Chris Anderson, Graham digs into the creative potential of this hyperreal content (often referred to as "deepfakes") as well as its risk for exploitation and the new legal rights we'll need in order to maintain control over our photorealistic AI avatars.
🌐Page on TED.com

#AI #technology #computers #media #data #machine_learning #future #software #entertainment

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👁Does AI actually understand us?
🧠Alona Fyshe
🗣Subtitle: 🇬🇧English | 🇹🇷Turkish

👣Is AI as smart as it seems? Exploring the "brain" behind machine learning, neural networker Alona Fyshe delves into the language processing abilities of talkative tech (like the groundbreaking chatbot and internet obsession ChatGPT) and explains how different it is from your own brain -- even though it can sound convincingly human.
🌐Page on TED.com

#emotions #AI #technology #innovation #humanity #machine_learning #language

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👁The transformative potential of AGI — and when it might arrive
🧠Shane Legg and Chris Anderson
🗣Subtitle: 🇬🇧English

👣As the cofounder of Google DeepMind, Shane Legg is driving one of the greatest transformations in history: the development of artificial general intelligence (AGI). He envisions a system with human-like intelligence that would be exponentially smarter than today's AI, with limitless possibilities and applications. In conversation with head of TED Chris Anderson, Legg explores the evolution of AGI, what the world might look like when it arrives — and how to ensure it's built safely and ethically.
🌐Page on TED.com

#AI #technology #machine_learning #science #future #computers #innovation

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👁3 ways to use AI without replacing your coworkers
🧠Madison Mohns
🗣Subtitle: 🇬🇧English

👣As companies introduce AI into the workplace to increase productivity, an uncomfortable paradox is emerging: people are often responsible for training the very systems that might displace them. AI ethics advocate Madison Mohns presents three leadership principles to embrace technological progress while prioritizing your coworkers' well-being — paving the way for a future where AI enhances human potential.
🌐Page on TED.com

#AI #ethics #work #computers #machine_learning

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👁AI and the paradox of self-replacing workers
🧠Madison Mohns
🗣Subtitle: 🇬🇧English

👣As companies introduce AI into the workplace to increase productivity, an uncomfortable paradox is emerging: people are often responsible for training the very systems that might displace them. AI ethics advocate Madison Mohns presents three leadership principles to embrace technological progress while prioritizing your coworkers' well-being — paving the way for a future where AI enhances human potential.
🌐Page on TED.com

#AI #ethics #work #computers #machine_learning

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👁How to govern AI — even if it's hard to predict
🧠Helen Toner
🗣Subtitle: 🇬🇧English

👣No one truly understands AI, not even experts, says Helen Toner, an AI policy researcher and former board member of OpenAI. But that doesn't mean we can't govern it. She shows how we can make smart policies to regulate this technology even as we struggle to predict where it's headed — and why the right actions, right now, can shape the future we want.
🌐Page on TED.com

#AI #technology #policy #machine_learning #computers #future #innovation

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👁Would you use a machine that predicts your future?
🧠Thomas Hofweber
🗣Subtitle: 🇬🇧English

👣A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
🌐Page on TED.com

#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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👁Could AI predict the future?
🧠Thomas Hofweber
🗣Subtitle: 🇬🇧English

👣A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
🌐Page on TED.com

#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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👁12 predictions for the future of technology
🧠Vinod Khosla
🗣Subtitle: 🇬🇧English

👣Techno-optimist Vinod Khosla believes in the world-changing power of "foolish ideas." He offers 12 bold predictions for the future of technology — from preventative medicine to car-free cities to planes that get us from New York to London in 90 minutes — and shows why a world of abundance awaits.
🌐Page on TED.com

#technology #future #AI #computers #machine_learning #innovation

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👁Why AI needs a "nutrition label"
🧠Kasia Chmielinski
🗣Subtitle: 🇬🇧English

👣What do sandwiches have to do with AI? Data reformist Kasia Chmielinski helps us think about artificial intelligence with a useful food metaphor — and breaks down why AI systems should have "nutrition labels" to ensure the development of fairer, more transparent algorithms.
🌐Page on TED.com

#AI #technology #machine_learning #data #computers #software #policy

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