Miles Brundage: Miles Brundage is a Research Fellow at the University of Oxford’s Future of Humanity Institute, where he researches the societal implications of artificial intelligence. His recent work has focused on risks from the malicious use of artificial intelligence and the prospects for international cooperation on AI development. In addition to Brundage’s fellowship at Oxford, he is affiliated with the Journal of Responsible Innovation and the Consortium for Science, Policy, and Outcomes, and is a PhD candidate at Arizona State University.
Tim Hwang: Tim Hwang is Director of the Harvard-MIT Ethics and Governance of AI Initiative. He formerly served as the global public policy for AI and machine learning at Google, where he led the company’s approach on a broad range of questions around the social impact of the technology including security, safety, bias, and fairness, among others. He was a co-organizer of the inaugural Machine Deception workshop at NIPS 2017, a day-long event bringing together technical researchers focusing on the capacity for machines to act as a medium through which human and other machine agents may be manipulated to believe, act upon or otherwise accept false information.
Sandya Mannarswamy: Sandya Mannarswamy is a research scientist in Conduent Labs India (formerly Xerox Research Centre India) in the Text and Graph Analytics research group. She holds a Ph.D. in computer science from Indian Institute of Science, Bangalore. Her research interests span natural language processing, text mining, programming languages and compilers. Her research career spans over 16 years, at various R&D labs, including Hewlett Packard Ltd, IBM Research India Ltd, and Microsoft Inc. Over the years, her research has resulted in around 45 patent disclosures, and a number of publications in ACM/IEEE conferences. She has been organized a number of workshops such as the Health Data Management & Mining (HDMM) at ICDE conference, Social Media Analytics for Smart Cities Workshop at CIKM 2017 etc. Her LinkedIn profile is available at https://www.linkedin.com/in/sandya/.
Catherine Olsson: Catherine Olsson is a Research Engineer at Google Brain, where she researches adversarial machine learning, for both real adversaries (as in machine learning security) and contrived adversaries (as in GANs and adversarial training). Catherine previously worked at OpenAI, contributing to the Dota 2 agent and the Universe project. She has a background in computational neuroscience from NYU, and in computer science and cognitive science from MIT, where she was a co-author of the Reproducibility Project in Psychology (Science, 2015).
Shourya Roy: Shourya Roy is currently the Head and Vice President of American Express Big Data Labs. In this role, Shourya is responsible for driving several machine learning and deep learning science and product initiatives for American Express. Prior to joining American Express about a year ago, he has spent about 15 years in the labs of IBM and Xerox. Shourya's research interest spans Machine Learning, Natural Language Processing, and Deep Learning where his work has led to about 70 publications in premier journals and conferences. Shourya has been granted about 15 patents as well based on his contributions. Shourya co-initiated a new research area of “Noisy Text Analytics” in 2007 and conducted six annual workshops in leading conferences till 2012. Recently he served as the Program Chair for two renowned international Conferences viz. ACM COMPUTE 2017 and ACM CODS-COMAD 2018. Additionally he explored several emerging technical topics in recent years by organizing workshops in leading conferences e.g. Domain Adaptation for Dialog Agents (DADA) in ECML 2016, Network Data Analytics (NDA) in ACM SIGMOD in 2016 and 2017, Health Data Mining and Management (HDMM) in IEEE ICDE 2016 and 17. Shourya holds Ph.D. in Computer Science from Indian Institute of Science (IISc)