The Applied Machine Learning Days channel features talks and performances from the Applied Machine Learning Days. AMLD is one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, making it particularly interesting to industry and academia. Next edition will be held in January 26-29, 2019 @ EPFL, Lausanne, Switzerland. Follow AMLD on Twitter: https://www.twitter.com/appliedmldays AMLD Website: https://www.appliedmldays.org
Interview with Dr Joanna J Bryson talking about her work at Bath University, the new principles of robotics, qualifying definitions of AI, the ethical paradox of living forever, AI as slaves, while trying not to mention Donald Trump.
This presentation took place at the Machine Intelligence Summit in November 2016. View more videos from the event here: http://videos.re-work.co/events/10 #reworkMI Why AI Must Be Biased, and How We Can Respond Like physics and biology, computation is a natural process with natural laws. We are making radical progress in artificial intelligence because we have learnt to exploit machine learning to capture existing computational outputs developed and transmitted by humans with human culture. This powerful strategy unfortunately undermines the assumption that machined intelligence, deriving from mathematics, would be pure and neutral, providing a fairness beyond what is present in human society. In learning the set of biases that constitute a word’s meaning, AI also learns patterns some of which are based on our unfair history. Addressing such prejudice requires domain-specific interventions. Joanna J. Bryson is a transdisciplinary researcher on the structure and dynamics of human- and animal-like intelligence. Her research covers topics ranging from artificial intelligence, through autonomy and robot ethics, and on to human cooperation. She holds degrees in Psychology from Chicago (AB) and Edinburgh (MPhil), and Artificial Intelligence from Edinburgh (MSc) and MIT (ScD). She has additional professional research experience from Oxford, Harvard, and LEGO, and technical experience in Chicago’s financial industry, and international organization management consultancy. Bryson is presently a Reader (associate professor) at the University of Bath, and an affiliate of Princeton’s Center for Information Technology Policy.
AI has been with us for hundreds of years; there’s no “singularity” step change. Joanna Bryson explains that the main threat of AI is not that it will do anything to us but what we are already doing to each other with it—predicting and manipulating our own and others’ behavior. Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi Follow O’Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/