Careers: Interviews
Chat with Co-Founders of Responsible AI Licenses Initiative

This week, Stephen Ibaraki has an exclusive interview with Danish Contractor and Daniel McDuff of Responsible AI Licenses Initiative, which was incubated at the ACM Future of Computing Academy.

Danish ContractorDanish Contractor, Co-founder RAIL and Senior Researcher, IBM Research AI. He has over 10 years of industry experience working on different aspects of software development and research. Over the last 6 years his work has focused on developing innovative research solutions for real world applications using Machine Learning & Natural Language Processing in the areas of Education, Tourism, Social Media & Customer Relationship management, Information Management & Noisy Data Cleansing. His work has been incorporated into multiple IBM products and services and has also led to the creation of new offerings such as IBM Watson Enlight for Educators and IBM C3 With Watson.

Danish's current work focuses on Dialog and Question Answering Research. He is working on methods for automatically answering complex multi-sentence questions that require inferencing and understanding of user intent as well the distillation of information from unstructured and subjective knowledge sources. He is also developing algorithms for creating interpretable dialog platforms that learn from human-to-human conversations.

In 2018, Danish was named amongst the top Innovators Under 35 in India awarded by MIT Technology Review and Mint (MIT TR 35 India). He is a member of the ACM Future of Computing Academy and is one of the co-founders of the Responsible AI Licensing initiative (http://licenses.ai). Danish holds a master's degree in Computer Science from the University of Cambridge, and a computer engineering degree from the University of Delhi.

Daniel McDuffDaniel McDuff, Co-founder RAIL and AI Researcher, Microsoft Research where he leads research and development of affective computing technology, with a focus on scalable tools to enable the automated recognition, analysis and synthesis of emotions and physiology. Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. Previously, Daniel was Director of Research at Affectiva and a post-doctoral research affiliate at the MIT Media Lab. During his Ph.D. and at Affectiva he built state-of-the-art facial expression recognition software and lead analysis of the world's largest database of facial expression videos. His work has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR and the Center for Integrated Medicine and Innovative Technology (CIMIT). Reflecting the cross-disciplinary natures of his work, Daniel has published articles in many different high profile venues including: Communications of the ACM, CHI, ECCV, SIGGRAPH, ICLR, Optics Express and the MIT Sloan Management Review. His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist, Scientific American and Forbes magazine. Daniel was named a 2015 WIRED Innovation Fellow, an ACM Future of Computing Academy member and has spoken at TEDx and SXSW.

Julia Katherine HainesJulia Katherine Haines, Co-founder RAIL. Julia conducts research at the intersection of technology, innovation, and human practices. Julia earned her PhD in Information and Computer Sciences at University of California, Irvine, where she was also a fellow with the Intel Science & Technology Center for Social Computing. She previously earned an MS in Human-Computer Interaction at DePaul, an MA in Social Sciences at The University of Chicago, and BAs in Anthropology and Journalism at UNC-Chapel Hill.





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