IEEE standards: Ethically aligned design

IEEE standards: Ethically aligned design

From IEEE [pdf] : The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems released the first version of its document, Ethically Aligned Design (EAD). The document provides insights and recommendations from over one hundred global AI and ethics experts and is intended to provide a key reference for Artificial Intelligence and Autonomous Systems (AI/AS) technologists to help them prioritize values-driven, ethically aligned design in their work.

Why a chinese chemicals company wants to invest in gaming apps

From Bloomberg : If you have young kids, you may already know the mobile game Talking Tom. What you might not know is that in January a Chinese hydrogen peroxide company announced plans to buy the maker of the app for $1 billion. This is just one of several similar deals. This week, Bloomberg Technology's Adam Satariano and Aki Ito take a look at why a slew of unlikely Chinese buyers - mining and construction firms, even a poultry company - are buying up mobile gaming businesses. This search takes Adam to the home of Lisa Pan, a young Beijing investor who has made millions from gaming investments and is now helping a Chinese chemicals company make the same leap. Is this a smart business strategy to adapt to a new economy, or is it a sign of a bubble?

Zoubin Ghahramani - probabilistic machine learning: foundations and frontiers

From University of Oxford: : Professor Zoubin Ghahramani gives a talk on probabilistic modelling from it's foundations to current areas of research at the frontiers of machine learning.

Probabilistic modelling provides a mathematical framework for understanding what learning is, and has therefore emerged as one of the principal approaches for designing computer algorithms that learn from data acquired through experience. Professor Ghahramani will review the foundations of this field, from basics to Bayesian nonparametric models and scalable inference. He will then highlight some current areas of research at the frontiers of machine learning, leading up to topics such as probabilistic programming, Bayesian optimisation, the rational allocation of computational resources, and the Automatic Statistician.

David Petraeus - The David Rubenstein Show

From Bloomberg : "The David Rubenstein Show: Peer-to-Peer Conversations" explores successful leadership through the personal and professional choices of the most influential people in business. Renowned financier and philanthropist David Rubenstein travels the country talking to leaders to uncover their stories and their path to success. The fifth episode of season two features former CIA director David Petraeus.

A conversation with Yoshua Bengio

From Microsoft: When Microsoft acquired deep learning startup Maluuba in January, Maluuba’s highly respected advisor, the deep learning pioneer Yoshua Bengio, agreed to continue advising Microsoft on its artificial intelligence efforts. Bengio, head of the Montreal Institute for Learning Algorithms, recently visited Microsoft’s Redmond, Washington, campus, and took some time for a chat.

AlphaGo vs complex problems in artificial intelligence - Mustafa Suleyman

From Financial Times: Mustafa Suleyman, co-founder of DeepMind, talks about what he learnt from the Alpha Go experience and the complex problems his artificial intelligence company has been working on since it was acquired by Google in 2014.

David Limp - the executive behind Amazon’s Alexa

From Fortune Brainstorm Tech conference: Amazon's voice assistant Alexa has become a hugely popular and growing business. In fact, David Limp, an Amazon senior vice president who oversees Alexa and all of its Amazon devices, says that Alexa is rapidly adding "skills," with more than 1,000 people working on it. On Tuesday, at Fortune's Brainstorm Tech conference, Limp spoke to Fortune's Adam Lashinsky about the inspiration for Alexa (hint: Think Star Trek) and the origin of the name to where the business is heading.

Gill Pratt - IROS 2016 plenary talk - Toyota Research on autonomous driving

From IEEE IROS 2016 :There are on the order of 1 billion motor vehicles in service around the world, traveling on the order of 10 trillion miles each year. Presently, nearly all of the those miles are driven by human beings, with on the order of 1 million fatalities worldwide per year. Despite this terribly high number of fatalities, dividing fatalities by miles yields a per-mile fatality rate for human driving on the order of 1 fatality per 10 million miles worldwide (it is on the order of 1 fatality per 100 million miles in developed countries). If fatalities caused by drunk, distracted, and drowsy driving are excluded, the reliability of human driving in developed countries is on the order of 1 fatality per billion miles.

Autonomous driving has been discussed in the media as promising improvements in safety, access and convenience, a lowering of traffic, and an improvement of the environment. These are wonderful, and real, benefits that autonomous cars would bring. But how reliable must autonomous cars be before they actually improve safety? To improve upon average non-drunk, non-distracted, and non-drowsy human driving in developed countries, autonomous vehicles must cause less than 1 fatality per billion miles. There is reason to believe that to be socially accepted, autonomous cars must actually be significantly safer than this. Creating an autonomous car with this level of safety is quite difficult. Luckily, we can improve safety, access, convenience, traffic, and the environment on the way to autonomous driving in ways that are synergistic with the development of self-driving cars. This talk will describe Toyota Research Institute's approach to the problem. .


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