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Pedro Domingos - The Dangers of AI: Real and Imaginary
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Machine Learning and the Market for Intelligence
A Conference by Creative Destruction Lab
at the Rotman School of Management on October 24, 2019
#MKT4INTEL
The Ethics, Impacts, & Dangers of Machine Intelligence
The Dangers of AI: Real and Imaginary
Pedro Domingos, Professor, University of Washington
Pedro Domingos is a professor of computer science at the University of Washington and the author of “The Master Algorithm.” He is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI. He is a fellow of the Association for the Advancement of Artificial Intelligence and has received a Fulbright Scholarship, a Sloan Fellowship, the National Science Foundation’s CAREER Award, and numerous best paper awards. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.
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The Creative Destruction Lab is a seed-stage program for massively scalable, science-based companies. Its nine-month program pairs founders with experienced entrepreneurs and investors to set focused, measurable objectives with the goal of maximizing equity-value creation. Founded in 2012 by Professor Ajay Agrawal at the Rotman School of Management at the University of Toronto, the program has now expanded with locations in Vancouver, Calgary, Montreal, Halifax, Oxford, and Paris.
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A Conference by Creative Destruction Lab
at the Rotman School of Management on October 24, 2019
#MKT4INTEL
The Ethics, Impacts, & Dangers of Machine Intelligence
The Dangers of AI: Real and Imaginary
Pedro Domingos, Professor, University of Washington
Pedro Domingos is a professor of computer science at the University of Washington and the author of “The Master Algorithm.” He is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI. He is a fellow of the Association for the Advancement of Artificial Intelligence and has received a Fulbright Scholarship, a Sloan Fellowship, the National Science Foundation’s CAREER Award, and numerous best paper awards. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.
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The Creative Destruction Lab is a seed-stage program for massively scalable, science-based companies. Its nine-month program pairs founders with experienced entrepreneurs and investors to set focused, measurable objectives with the goal of maximizing equity-value creation. Founded in 2012 by Professor Ajay Agrawal at the Rotman School of Management at the University of Toronto, the program has now expanded with locations in Vancouver, Calgary, Montreal, Halifax, Oxford, and Paris.
Follow us on social: