TEDTalks تكنلوجيا

In the early days of digital culture, Jaron Lanier helped craft a vision for the internet as public commons where humanity could share its knowledge -- but even then, this vision was haunted by the dark side of how it could turn out: with personal devices that control our lives, monitor our data and feed us stimuli. (Sound familiar?) In this visionary talk, Lanier reflects on a "globally tragic, astoundingly ridiculous mistake" companies like Google and Facebook made at the foundation of digital culture -- and how we can undo it. "We cannot have a society in which, if two people wish to communicate, the only way that can happen is if it's financed by a third person who wishes to manipulate them," he says.

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.

As quantum computing matures, it's going to bring unimaginable increases in computational power along with it -- and the systems we use to protect our data (and our democratic processes) will become even more vulnerable. But there's still time to plan against the impending data apocalypse, says encryption expert Vikram Sharma. Learn more about how he's fighting quantum with quantum: designing security devices and programs that use the power of quantum physics to defend against the most sophisticated attacks.

"Will machines replace humans?" This question is on the mind of anyone with a job to lose. Daniel Susskind confronts this question and three misconceptions we have about our automated future, suggesting we ask something else: How will we distribute wealth in a world when there will be less -- or even no -- work?

Technology should work for us, but what happens when it doesn't? Comedian Chuck Nice explores the unintended consequences of technological advancement and human interaction -- with hilarious results.

Every three years, more than 30 million Hindu worshippers gather for the Kumbh Mela in India, the world's largest religious gathering, in order to wash away their sins. With massive crowds descending on small cities and towns, stampedes inevitably happen, and in 2003, 39 people were killed during the festival. In 2014, then 15-year-old Nilay Kulkarni decided to put his skills as a self-taught programmer to use by building a tech solution to help prevent stampedes. Learn more about his invention -- and how it helped the 2015 Nashik Kumbh Mela have zero stampedes and casualties.

As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI -- and asks us to consider what the technology we create today will mean for tomorrow. "All that we see now is a snapshot in the evolution of artificial intelligence," Mitchell says. "If we want AI to evolve in a way that helps humans, then we need to define the goals and strategies that enable that path now."

Danielle Wood leads the Space Enabled research group at the MIT Media Lab, where she works to tear down the barriers that limit the benefits of space exploration to only the few, the rich or the elite. She identifies six technologies developed for space exploration that can contribute to sustainable development across the world -- from observation satellites that provide information to aid organizations to medical research on microgravity that can be used to improve health care on Earth. "Space truly is useful for sustainable development for the benefit of all peoples," Wood says.

نحن نعيش بالفعل بين الروبوتات: الأدوات والآلات مثل غسالات الأطباق ونواظم درجة الحرارة مدمجة في حياتنا بدرجة كبيرة حتى أننا لا نفكر أن نطلق عليها اسم روبوتات. كيف سيبدو المستقبل بوجود روبوتات أكثر كثيرًا. تشارك الباحثة الاجتماعية ليلي تاكاياما بعض التحديات الفريدة التي تواجه التصميم من أجل التفاعل بين الإنسان والروبوت -- وكيف أن اختبار السيناريوهات المستقبلية للروبوتات تقودنا بالفعل نحو فهمٍ أفضل لأنفسنا.

We already live among robots: tools and machines like dishwashers and thermostats so integrated into our lives that we'd never think to call them that. What will a future with even more robots look like? Social scientist Leila Takayama shares some unique challenges of designing for human-robot interactions -- and how experimenting with robotic futures actually leads us to a better understanding of ourselves.