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Artificial Intelligence

by   -   February 22, 2017

If a machine can think, decide and act on its own volition, if it can be harmed or held responsible for its actions, should we stop treating it like property and start treating it more like a person with rights?

by   -   February 21, 2017

Current legal AI systems do not think like human lawyers. But, as their capabilities improve, the temptation grows to use such systems not only to supplement but to eliminate the need for some personnel. Ron Yu examines how this might affect the legal profession and the future development of legal AI.

by   -   February 17, 2017
MIT Professor Regina Barzilay has struck up new research collaborations, drawn in MIT students, launched projects with local doctors, and begun empowering cancer treatment with the machine-learning insight that has already transformed many areas of modern life.
Photo: Lillie Paquette/School of Engineering

Computer scientist Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on a tool largely unrecognized in the oncology world but deeply familiar to hers: machine learning.

by   -   February 10, 2017

There’s a great deal of concern over artificial intelligence; what it means for our jobs, whether robots will one day replace us in the workplace, whether it will one day lead to robot wars. But current research projects show that artificial intelligence (AI) can also be used for the greater good. Here are five global problems that machine learning could help us solve.

by   -   February 9, 2017

Incorporating strategies from skilled human planners improves automatic planners’ performance.

by   -   February 8, 2017

In this interview, Dr. Yueh-Hsuan Weng invites Prof. Ronald C. Arkin, Executive Committee Member of IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, to share his insights on roboethics, with a focus on its technical aspects, military and caregiver applications..

by   -   February 3, 2017

A recent Conversation piece pointed out that the British electricity mix in 2016 was the cleanest in 60 years, with record capacity from renewable energy, mainly from wind and solar power. But one problem with this great expansion in renewables is they are intermittent, meaning they depend on weather conditions such as the wind blowing or sun shining. Unlike conventional power, this means they can’t necessarily meet surges in demand. Hence many press headlines in recent years about the “lights going out”.

by   -   February 3, 2017

Part 2: Autonomous Systems and Transparency

In my previous post I argued that a wide range of AI and Autonomous Systems (from now on I will just use the term AS as shorthand for both) should be regarded as Safety Critical. I include both autonomous software AI systems and hard (embodied) AIs such as robots, drones and driverless cars. Many will be surprised that I include in the soft AI category apparently harmless systems such as search engines. Of course no-one is seriously inconvenienced when Amazon makes a silly book recommendation, but consider very large groups of people. If a truth (such as global warming) is – because of accidental or willful manipulation – presented as false, and that falsehood is believed by a very large number of people, then serious harm to the planet (and we humans who depend on it) could result.

by   -   February 1, 2017

Coupled with audio and vital-sign data, this deep-learning, wearable system could someday serve as a “social coach” for people with anxiety or Asperger’s

by   -   February 1, 2017

Brad Knox talks bots_alive and a new form of character AI. Much like motion capture for scripted animation, this new technique may revolutionize how interactive characters are created, through observation of authentic human-generated behavior.

by   -   January 27, 2017
IEEE-main-AI-ethics-2016
Image: IEEE

On the 15th November 2016, the IEEE’s AI and Ethics Summit posed the question: “Who does the thinking?” In a series of key-note speeches and lively panel discussions, leading technologists, legal thinkers, philosophers, social scientists, manufacturers and policy makers considered such issues as:

  • The social, technological and philosophical questions orbiting AI.
  • Proposals to program ethical algorithms with human values to machines.
  • The social implications of the applications of AI.
by   -   January 26, 2017

With machine intelligence emerging as an essential tool in many aspects of modern life, Alan Winfield discusses autonomous sytems, safety and regulation.

by   -   January 20, 2017

world-economic-forum-2017-theresa-may

The population of the scenic ski-resort Davos, nestled in the Swiss Alps, swelled by nearly +3,000 people between the 17th and 20th of January. World leaders, academics, business tycoons, press and interlopers of all varieties were drawn to the 2017 World Economic Forum (WEF) Annual Meeting. The WEF is the foremost creative force for engaging the world’s top leaders in collaborative activities to shape the global, regional and industry agendas for the coming year and beyond. Perhaps unsurprisingly given recent geopolitical events, the theme of this year’s forum was Responsive and Responsible Leadership.

by   -   January 16, 2017

machine-learning-2

In this fascinating animation from Oxford Sparks, we take a look at how statistics and computer science can be used to make machines that learn for themselves, without being explicitly programmed.

by   -   January 11, 2017

Join Professor Brian Cox as he brings together experts on AI and machine learning (including RoboHub’s own Sabine Hauert) to discuss key issues that will shape our technological future





International standards
March 22, 2013


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