TED Tech Folgen

Human brains are often described as computers — machines that are “wired” to make decisions and respond to external stimuli in a way that’s not so different from the artificial intelligence that we increasingly use each day. But the difference between our brains and the computers that drive AI is consciousness – our inner world, defined by experience and awareness. Anil Seth is a professor of cognitive and computational neuroscience at the University of Oxford. He studies human consciousness and he’s concerned about the way we’ve come to think about AI as conscious minds rather than useful tools. Anil and Bilawal sit down to discuss the differences between intelligence and consciousness, the possibility of AI becoming self-aware, and the dangers of assigning human-like traits to our AI assistants. For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcriptsLearn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

Over the last decade, humanitarian organizations have digitized many of their systems, from registering refugees with biometric IDs to transporting cargo via drones. This has helped deliver aid around the world, but it's also brought new risks to the people it's meant to protect. This week we're revisiting a talk by tech and human rights ethicist Aarathi Krishnan who points to the dangers of digitization —  like sensitive data getting into the hands of the wrong people — and lays out five ethical principles to help inform humanitarian tech innovation. After the talk, our host Sherrell shares a practical way to assess the costs and benefits of digitizing aid using Krishnan's principles.Learn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

Computers have been outperforming humans for years on tasks like solving complex equations or analyzing data, but when it comes to the physical world, robots struggle to keep up. It can take years to train robots to function in the messy chaos of the “real world” — but thanks to some unlikely help from the film and video gaming industry, robots today are using AI to fast-track their learning and master new skills using simulated environments. Rev Lebaredian is the vice president of Omniverse and simulation technology at NVIDIA, a company known for its work on advancements in AI, video game graphics cards, accelerated computing and computer graphics. Rev and Bilawal discuss how simulated “mirror worlds” can help robots learn faster, the trillion-dollar market for physical AI, and the future of AI robot assistance in our everyday lives. For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcripts   Learn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.