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AI Tipping Point | Full Documentary | Curiosity Stream
With Artificial Intelligence evolving so rapidly, will it surpass human intelligence? Could this lead to our replacement—or, worse, our extinction? Top experts provide a clear understanding of the immense benefits and potential dangers of AI.
Artificial intelligence and its ethics | DW Documentary
Are we facing a golden digital age or will robots soon run the world? We need to establish ethical standards in dealing with artificial intelligence – and to answer the question: What still makes us as human beings unique? Mankind is still decades away from self-learning machines that are as intelligent as humans. But already…
Artificial Intelligence, the History and Future – with Chris Bishop
The last five years have witnessed a dramatic resurgence of excitement in the goal of creating intelligent machines. Technology companies are now investing billions of dollars in this field, new research laboratories are springing up around the globe, and competition for talent has become intense. In this Discourse Chris Bishop describes some of the recent…
Artificial Intelligence | FULL DEBATE | Doha Debates
Advocates for AI defend it as manageable and say the risks are marginal, and the rewards life-improving, by empowering more people with instant information. But critics warn about transparency gaps and power disparities, including a slippery slope into a digital apocalypse where superintelligent machines surpass humans’ ability to control them. Watch as four experts weigh…
Open-Ended AI: The Key to Superhuman Intelligence?
Prof. Tim Rocktäschel, AI researcher at UCL and Google DeepMind, talks about open-ended AI systems. These systems aim to keep learning and improving on their own, like evolution does in nature. TOC:00:00:00 Introduction to Open-Ended AI and Key Concepts00:01:37 Tim Rocktäschel’s Background and Research Focus00:06:25 Defining Open-Endedness in AI Systems00:10:39 Subjective Nature of Interestingness and…
Biologically-inspired AI and Mortal Computation
Prof. Alexander G. Ororbia is a researcher in the field of bio-inspired artificial intelligence, working on on mortal computation and neurobiologically-plausible learning algorithms. Ororbia takes us on a tour of brain-inspired AI, discussing how concepts like predictive coding, forward-only learning, and neural generative coding can lead to more efficient and adaptable AI systems. He explores…
