Panel: The New Realities of AI
July 25, 11:00 – 12:30 pm, Meeting 101
Artificial Intelligence (AI) is now creating a lot of excitement and hype among professionals and across all kinds of business and industry, as well as among individuals. It is no longer just the theme of science fiction essays and movies. It is emerging as a new, innovative approach for solving challenging problems that we encounter in practice, and as an enabler of disruptive innovations and smarter world. AI’s renaissance is driven by recent complementary developments, including major advances in the AI arena, realistic expectations, and recent success in its applications. AI is also raising some major concerns, real and perceived. Nevertheless, AI is trending to become a new normal and is increasingly being adopted in many applications despite its concerns and limitations.
This panel will examine the new realities of AI and offer its perspectives and recommendations. Panelists will deliberate on:
Where is AI headed?
What new applications and innovations will emerge, and how they might impact?
What are the risks and concerns?
How can we leverage AI for good, and address those major risks and concerns?
How do we get prepared for the new AI age?
Panelists
Moderator: San Murugesan, Director, BRITE Professional Services, Australia
San Murugesan is the director of BRITE Professional Services and an adjunct professor at the Western Sydney University, Australia. He is also Editor in Chief Emeritus of IT Professional magazine. He served in several senior positions in academia and industry in Australia and India. His research interests include artificial intelligence, cloud computing, green IT, the Internet of Things, and IT applications. He is co-editor of Encyclopedia of Cloud Computing (Wiley, 2016) and Harnessing Green IT: Principles and Practices (Wiley 2012), and has published over 220 papers and guest edited several journal special issues. He served on the editorial boards of Computer and other publications. Murugesan is a Fellow of the Australian Computer Society and the Institution of Electronics and Telecommunication Engineers (IETE), and served as program committee chair of many international conferences.
Wo Chang, Digital Data Advisor, NIST, USA
Wo Chang is Digital Data Advisor for the NIST Information Technology Laboratory (ITL). His responsibilities include promoting a vital and growing Big Data and artificial intelligence community at NIST with external stakeholders in commercial, academic, and government sectors. Mr. Chang currently chairs the ISO/IEC JTC 1/WG 9 Working Group on Big Data, IEEE Big Data Governance and Metadata Management, NIST Big Data Public Working Group, and NIST technical representative in artificial intelligence standardization. Mr. Chang’s research interests include big data analytics, machine learning, deep learning, and high performance and cloud computing, content metadata description, digital file formats, multimedia synchronization, digital data preservation, and Internet protocols. In the past, Mr. Chang was the Deputy Chair for the US National Body for MPEG (INCITS L3.1) and chaired several other key projects.
William Cheng-Chung Chu, Tunghai University, Taiwan
William Cheng-Chung Chu is a distinguished professor of computer science, and the Director of Software Engineering and Technologies Center at Tunghai University. He had also served as the Dean of Research and Development and the dean of Engineering College. He is currently serving as the associate editor for IEEE Transaction on Reliability (TRel) and International Journal of Advancements in Computing Technology (IJACT). He had served as associate editor for Journal of Software Maintenance and Evolution (JSME), and Journal of Systems and Software (JSS). His current research interests include software engineering, cloud computing and data analytics. He has edited several books and published over 200 referred papers and book chapters and is a steering committee member of COMPSAC.
Ryohei Orihara, Toshiba, Japan
Ryohei Orihara has been with Toshiba Corporation, Kawasaki, Japan, since 1988, where he is currently a Chief Research Scientist at the Corporate Research and Development Center. He is also a visiting professor at the University of Electro-Communications, Tokyo, Japan. His current research interests include artificial intelligence, machine learning, data mining and text mining. He is currently a vice president of the Japanese Society for Artificial Intelligence (JSAI). He received his PhD degree in engineering from the University of Tsukuba in 1999. He is a fellow of the Information Processing Society of Japan (IPSJ).
Takahira Yamaguchi, Keio University and past president of Japanese Society of Artificial Intelligence (JSAI), Japan
Takahira Yamaguchi is a professor at the Faculty of Science and Technology at Keio University, and past president of Japanese Society of Artificial Intelligence (JSAI), from 2012 to 2014. He is also adviser to JSAI. His research interests include unified AI Apps for human robot interaction, ontologies, linked open data, data mining, and knowledge-based software engineering. He received his BE, ME, and PhD degrees in telecommunication engineering from Osaka University.
