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Visit the largest developers congress in Europe: WeAreDevelopers World Congress, 16 - 18 May 2018 in Vienna, Austria.
Jarno Duursma, Trendwatcher: Introduction to artificial intelligence, chatbots, conversational interfaces and smart agents.
using Neural Networks and genetic algorithms to create self-evolving cars capable of learning to pick up scattered coins
In his work with IBM Watson system, Mauro is exploring the brand new landscape made accessible by enormous amount of data and tools that are capable of analyzing it. This terra incognita is full with unexpected discoveries and new kind of challenges, especially how to establish effective interface between the human users and the machine.
Joscha Bach is one of those rare people whose primary motivation is unbound curiosity and inspiration. He clearly loves what he does and you can’t help but notice his radiating passion and youthful exuberance. Joscha has an impressively wide and deep knowledge in a variety of scientific, philosophical and artistic disciplines and I had to do my best just to keep up with Bach’s brilliant fast-paced mind and stream of consciousness. I enjoyed our conversation immensely and hope you love it too.
Title: Strong AI: Why we should be concerned about something nobody knows how to build
Synopsis: At the moment, nobody fully knows how to create an intelligent system that rivals or exceed human capabilities (Strong AI). The impact and possible dangers of Strong AI appear to concern mostly those futurists that are not working in day-to-day AI research. This in turn gives rise to the idea that Strong AI is merely a myth, a sci fi trope and nothing that is ever going to be implemented. The current state of the art in AI is already sufficient to lead to irrevocable changes in labor markets, economy, warfare and governance. The need to deal with these near term changes does not absolve us from considering the implications of being no longer the most intelligent beings on this planet.
Despite the difficulties of developing Strong AI, there is no obvious reason why the principles embedded in biological brains should be outside of the range of what our engineering can achieve in the near future. While it is unlikely that current narrow AI systems will neatly scale towards general modeling and problem solving, many of the significant open questions in developing Strong AI appear to be known and solvable.
"I see the AGI conference as an attempt.. to get back to the original idea of artificial intelligence - to see computational systems as an avenue to developing an understanding of how the mind works. I think this is at its heart a philosophical issue, a philosophical enterprise... but the methods that we need are some that we do not find in contemporary philosophy - so my idea is not to build applications or to develop formalisms that can be used to build applications, but it's about maybe a subset of analytical philosophy; it's in a way 'computational philosophy' where analytical philosophy allows you to express anything that can be, or use anything that can be expressed in a formal language in principle - I want to narrow this even further down. There are things that can be expressed in a computational system that are computable; that can run. This means you do exclude paradoxes which excludes not only those things that you cannot specify, but also excludes things you can specify but are paradoxes which could run - so eventually the proof that you have understood something from the point of view of a computer scientist is that it works. And I do think that you need such an approach as it has pervaded most of physics for instance already - you need such an approach in philosophy of mind too."
https://media.ccc.de/v/35c3-10030-the_ghost_in_the_machine
Today’s guest is Sam Harris, philosopher, neuroscientist and best-selling author of books including “Waking Up,” “The End of Faith,” “Letter to a Christian Nation,” and “The Moral Landscape.” Jason and Sam explore a wide range of topics, including the ethics of robots, the value of meditation, Trump’s lies, and his most recent obsession AI, which stemmed from an initial conversation with Elon Musk. Sam argues that the threat of uncontrolled AI is one of the most pressing issues of our time and poses the question: Can we build AI without losing control over it? The two then discuss why meditation is so important for entrepreneurs and business people. Sam has built his brand and fan base around radical honesty and authenticity, so the conversation naturally segues to Trump and his lies. This is only the first of two parts, so stay tuned for much more.
WATCH FULL EPISODE: https://youtu.be/NYNN87txLWQ
Meet the amazing tribe of women behind “bias,” a documentary film that highlights the nature of implicit bias and the grip it holds on our society. Director Robin Hauser is joined at the Tribe Table by producers Christie Herrie and Tierney Henderson, and film subject * Professor, Lois James to talk to Amy about unconscious and implicit bias and how it relates to gender and race, coming to terms with our own unconscious biases, and Harvard’s “Implicit Association Test”. The film explores bias through all walks of life: from CEOs and police enforcement to professional soccer player, Abby Wambach. With the toxic effect of bias making headlines every day, the time to talk about “bias” is now. Watch the trailer: https://www.imdb.com/title/tt7137804/?ref_=ttpl_pl_tt
As humans we’re inherently biased. Sometimes it’s explicit and other times it’s unconscious, but as we move forward with technology how do we keep our biases out of the algorithms we create? their programming? Documentary filmmaker Robin Hauser argues that we need to have a conversation about how AI should be governed and ask who is responsible for overseeing the ethical standards of these supercomputers. “We need to figure this out now,” she says. “Because once skewed data gets into deep learning machines, it’s very difficult to take it out."
Andra Keay is the Managing Director of Silicon Valley Robotics, an industry group supporting the innovation and commercialization of robotics technologies. She is also founder of Robot Launchpad for startups and co-founder of Robot Garden, a new robotics hackerspace.
SingularityU Japan Summit 2017
Maarten Steinbuch is Distinguished University Professor at Eindhoven University of Technology. His research interests are modeling, design and control of motion systems, robotics, automotive powertrains and of fusion plasmas.
Advait has had enough of the unhelpful media frenzy bandwagon around artificial intelligence and presents a better way of thinking about AI — namely, that it is simply the next step for computer interfaces, of which there is a long and well-studied history.
A society of mind and machines where the complementary skills of humans and computers interact and augment each other is laid out by Francesca Rossi. Instead of fearing for the future of humanity, she convincingly argues for a collaborative vision of tomorrow in which intelligent machines help us to lead more sustainable and prosperous lives.
This presentation took place at the Deep Learning Summit in London on 24-25 Sept 2015: https://www.re-work.co/events/deep-learning-london-2015 #reworkDL
Artificial Intelligence as it has come into the foray in the recent years is a lot more focused on automation. The best of minds right now working in the field are busy decoding how to train AI to automate as much of the time-consuming human tasks as possible. Despite what sensationalist media would have you believe, ‘automation’ not ‘making robots sentient’ is the pressing goal of the AI researchers. However, one of the biggest obstacles that they currently have is that the world is not designed for AIs to comprehend. Most of the products, machines, interactions, etc that we encounter every day are designed for human users, not an artificial intelligence. Hence, at times it becomes quite a challenge for programmers and researcher to train their AI to comprehend these designed-for-humans system.
The popular press is full of doomsday articles predicting that
artificial intelligence will take over the economy putting us all out
of work. But looking carefully at the evidence to-date, mathematician
Max Little gives us a glimpse of the future of machine intelligence,
arguing that science is likely decades away from being able to
understand, let alone replace, human intelligence in general.
Now a household name in the Indian computer science scene, Anirudh Kala offers us a sneak peek into the mind-boggling commercial potential of Artificial Intelligence and Machine Learning technologies and illustrates how customer service can be revolutionized by the statistical and computational analysis of ‘conversations.’ His fresh perspectives on the everyday things we don’t fully appreciate drives home the lesson of what it means to be an entrepreneur in today’s world.
The future of AI is already here: AI and its "cousin technologies" are starting to permeate our lives and societies. As it gains insight and decision power, AI needs to empower the dynamically evolving values and growth of humans and societies in turn. Rather than getting caught up in dystopian futures, we should harness AI's vast potential for positive transformative change responsibly. To that end, we need a new global multi-stakeholder institution organizing a representative congress to negotiate a modern, digital Magna Carta and to govern AI transparently within and across borders. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Stuart Russell explores methods by which we might be able to ensure that AI is robust and beneficial.
The Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015.
Perhaps the most nightmarish, dystopian film of 2017 didn't come from Hollywood. Autonomous weapons critics, led by a college professor, put together a horror show.
It's a seven-minute video, a collaboration between University of California-Berkeley professor Stuart Russell and the Future of Life Institute that shows a future in which palm-sized, autonomous drones use facial recognition technology and on-board explosives to commit untraceable massacres.
The film is the researchers' latest attempt to build support for a global ban on autonomous weapon systems, which kill without meaningful human control.
They released the video to coincide with meetings the United Nations' Convention on Conventional Weapons is holding this week in Geneva, Switzerland, to discuss autonomous weapons.
"We have an opportunity to prevent the future you just saw, but the window to act is closing fast," said Russell, an artificial intelligence professor, at the film's conclusion. "Allowing machines to choose to kill humans will be devastating to our security and freedom."
In the film, thousands of college students are killed in attacks at a dozen universities after drones swarm campuses. Some of the drones first attach to buildings, blowing holes in walls so other drones can enter and hunt down specific students. A similar scene is shown at the U.S. Capitol, where a select group of Senators were killed.
Such atrocities aren't possible today, but given the trajectory of tech's development, that will change in the future. The researchers warn that several powerful nations are moving toward autonomous weapons, and if one nation deploys such weapons, it may trigger a global arms race to keep up.
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, offering three ways we can start making more ethical algorithms.
As researchers and engineers, our goal is to make machine learning technology work for everyone.
This video is part of a UNESCO series ensuring multi-stakeholder voices on artificial intelligence and its impact on the domains of UNESCO’s competence. To learn more about UNESCO’s work on artificial intelligence, click here: https://en.unesco.org/artificial-intelligence
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