Achieving Superintelligence: Definitions, Datasets, and Defenses

9 Sep
IACS Seminar Series
Alex Wissner-Gross, Gemedy
Friday, September 9, 2016 -
12:30pm to 2:00pm
Pierce Hall 209

Lunch 12:30pm; Talk 1pm

Abstract: What is the critical path to achieving artificial superintelligence? This talk will explore the computational science and engineering issues associated with defining intelligence, the role of large datasets in accelerating AI breakthroughs, and strategies for detecting and managing the emergence of superhuman AI.

Speaker Bio: 

Dr. Alexander D. Wissner-Gross is an award-winning scientist, inventor, entrepreneur, and angel investor. He serves as President and Chief Scientist of Gemedy and holds academic appointments at the Harvard Institute for Applied Computational Science, the Harvard Innovation Lab, and the MIT Media Lab. He has received 124 major distinctions, authored 18 publications, been granted 23 issued, pending, and provisional patents, and founded, managed, and advised 7 technology companies, 3 of which have been acquired. In 1998 and 1999, respectively, he won the USA Computer Olympiad and the Intel Science Talent Search. In 2003, he became the last person in MIT history to receive a triple major, with bachelors in Physics, Electrical Science and Engineering, and Mathematics, while graduating first in his class from the MIT School of Engineering. In 2007, he completed his Ph.D. in Physics at Harvard, where his research on neuromorphic computing, machine learning, and programmable matter was awarded the Hertz Doctoral Thesis Prize. A popular TED speaker, his talks have been viewed more than 2 million times and translated into 27 languages. His work has also been featured in more than 190 press outlets worldwide including The New York Times, CNN, USA Today, the Wall Street Journal, and BusinessWeek.

Institute for Applied Computational Science (IACS)
Natasha Baker