Orban, Wood, Pearce @ SIAI Seoul November 6-7, 2015
Seoul, South Korea

SOCIAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE – SEOUL CONFERENCE

Solutions for the Future is organizing a conference to be held at Hankuk University of Foreign Studies, Seoul, on November 6th and 7th. The conference will focus on various social issues related to the future impact of robotics on humanity.

SPEAKERS
OLYMPUS DIGITAL CAMERA

David Pearce

British philosopher/ The Hedonistic Imperative/ Transhumanism.

David Pearce is a British philosopher. He promotes the idea that there exists a strong ethical imperative for humans to work towards the abolition of suffering in all sentient life. His book length internet manifesto, The Hedonostic Imperative, outlines how technologies such as genetic engineering, nanotechnology, pharmacology, and neurosurgery could potentially converge to eliminate all forms of unpleasant experience among humans and non-human animals, replacing suffering with gradients of well-being, a project he refers to as “paradise engineering.”

David Orban  

CEO, Dotsub/ Advisor, Singularity University.

Entrepreneur and CEO of Dotsub, the leading technology and services provider powering video viewing via captions and translations as subtitles in any language to increase access, engagement and global reach, based in New York City. He is also a member of the Faculty of, and Advisor to the Singularity University,  an interdisciplinary university whose mission is to assemble, educate and inspire leaders who strive to understand and facilitate the development of exponentially advancing technologies in order to address humanity’s grand challenges. He is the Founder of Network Society Research, a London based global non-profit, creating a vision and analytical tools to allow individuals, enterprises and the society to deal positively with the unstoppable change towards decentralized technologies.

Stuart Armstrong

Stuart Armstrong

James Martin Research Fellow, Future of Humanity Institute, University of Oxford.

Stuart Armstrong’s current research focuses on the design of safe Artificial Intelligence, formal decision theory (including “anthropic” probabilities), the long-term potential for intelligent life, and the limitations of predictions. In particular, he wants to establish what large risks are the most dangerous and most worth working on, and how accurate predictions made in those areas are likely to be. He has a background in pure mathematics (parabolic geometries) and computational biochemistry (virtual drug screening).

maxresdefault

David Wood

D.Sc./ Co-founder, Symbian/ Consultant and Writer, Delta Wisdom/ Chair, London Futurists/ Board Director, Humanity+

David has spent 25 years envisioning, architecting, designing, implementing, and avidly using smart mobile devices. As one of the pioneers of the smartphone industry, he co-founded Symbian, the creator of the world’s first successful smartphone operating system, and served on the leadership teams of Psion Software and Symbian until 2009.  T3 magazine included him in their list of the “100 most influential people in technology” (2009). In 2010 David featured in the world’s first Augmented Reality CV. From 2010 to 2013, David was also the Technology Planning Lead (CTO) of Accenture Mobility and co-led Accenture’s “Mobility Health” business initiative, “Mobility innovation for dramatically better healthcare”.

David now acts as independent futurist, consultant, and writer, at Delta Wisdom and is a chair of London Futurists group (4000+ members.) His book “Smartphones and beyond: lessons from the remarkable rise and fall of Symbian”, published in September 2014, has been described as “One of the most candid and revealing books a technology executive has ever written”.

Byoung-Tak_Zhang_2014_02

Byoun-Tak Zhang

Professor, School of Computer Science and Engineering & Cognitive Science, Brain Science & Bioinformatics, Seoul National University.

In the Biointelligence Lab and the Cognitive Robotics and Artificial Intelligence Center (CRAIC), Byoung-Tak Zhang focuses on building smart machines by understanding the workings of the biological mind. His current efforts center around the deep, recurrent, and sparse hypernetwork architechtures and learning algorithms that self-organize their structures instantly, incrementally, and continuously, in a self-supervised way by perception-action cycle. The ultimate goal is to discover a large-scale neurocognitive computational model of the brain that autonomously develops or evolves into human-level machine intelligence in life-long interactions with the environment.