Prof. Dr. James Alexander Hendler
James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at Rensselaer Polytechnic Institute(RPI). He also serves as (acting) Chair of the Board of Trustees and Director of the UK’s charitable Web Science Trust. Hendler has authored over 250 technical papers in the areas of Semantic Web, artificial intelligence, agent-based computing, open data systems and high performance processing. One of the originators of the “Semantic Web,” Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence, the British Computer Society, the IEEE and the AAAS. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. The former editor-in-chief of IEEE Intelligent Systems, he is also the first computer scientist to serve on the Board of Reviewing editors for Science.
In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an “Internet Web Expert” by the US government. In 2012, he was one of the inaugural recipients of the Strata Conference “Big Data” awards for his work on large-scale open government data, and he is a columnist and associate editor of the Big Data journal. In 2013, he was appointed by the governor as the Open Data Advisor to New York State.
Social Machines 2.0: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity
4.7. 9:00–10:00, room D 239
As technology has increasingly brought computing off of the laptop and into our social domain, we see society more and more impacted by the interactions allowed by mobile technologies and increasingly ubiquitous communications. These new sources of data, coupled with new breakthroughs in computation, and especially AI, are opening new vistas for ways that information comes into our world, and how what we do increasingly impacts others. Current social networking sites will be, to the coming generation of social machines, what the early "entertainment" web was to the read/write capabilities once called "Web 2.0." In this talk, we explore some of these trends and some of the promises and challenges of these emerging technologies.