EPFL is located in Switzerland and is one of the most vibrant and cosmopolitan science and technology institutions. EPFL has both a Swiss and international vocation and focuses on three missions: teaching, research and innovation.
The Center for Intelligent Systems (CIS) at EPFL, a joint initiative of the schools ENAC, IC, SB, STI and SV seeks to advance research and practice in the strategic field of intelligent systems.
RIKEN is Japan’s largest comprehensive research institution renowned for high-quality research in a diverse range of scientific disciplines.
RIKEN Center for Advanced Intelligence Project (AIP) houses more than 40 research teams ranging from fundamentals of machine learning and optimization, applications in medicine, materials, and disaster, to analysis of ethics and social impact of artificial intelligence.
【The 12th Seminar】
Date and Time: March 23th 6:00pm – 7:00pm(JST)
Speaker: Koiti Hasida, RIKEN AIP
Title: Personal AI to Maximize the Value of Personal Data while Defending Human Rights and Democracy
Value of personal data (PD) is maximized by decentralized management; i.e., aggregating PD to the data-subject individuals and letting only the data subject fully utilize her own PD. We have been developing PLR (personal life repository), a software library to implement this decentralized management and applied it to various use cases including education, healthcare, and administrative services. Associated with your PLR, a personal AI (PAI) will be exclusively dedicated to you, managing your PD and fully utilizing it to optimize your life by intervening your actions more deeply and carefully than other technologies so far — the best ever personal service potentially accounting for 25% of GDP. On the other hand, the central AI (CAI) based on centralized PD management has created surveillance capitalism and digital Leninism, threatening human rights and democracy. It is impossible for the humanity to jointly restrict CAI, because some companies and countries may eventually enjoy huge profit and power by CAI, unlike by a full-scale nuclear war. However, this risk may be overcome by letting service providers (both public and private) employ PAIs instead of CAIs in order to improve their profits, provided that PAIs are properly governed by data analytics based on the decentralized management of PD.
Koiti Hasida received a doctoral degree of science from the University of Tokyo in 1986. He was affiliated with Electrotechnical Laboratory from 1986 to 2001, The Institute for New Generation Computer Technology from 1988 to 1992 and The National Institute of Advanced Industrial Science and Technology from 2001 to 2013. Currently, he is a professor at Graduate School of Information Science and Technology of The University of Tokyo, and the leader of Decentralized Big Data Team of RIKEN AIP. His research encompasses linguistics, cognitive science, natural language processing, artificial intelligence, decentralized PDS, and their applications to smart society.
All participants are required to agree with the AIP Seminar Series Code of Conduct.
Please see the URL below.
RIKEN AIP will expect adherence to this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.
|Date||March 23, 2022 (Wed) 18:00 - 19:00|