Tom Gruber is a product designer and entrepreneur who uses AI technology to augment human intelligence. He was cofounder, CTO, and head of design for the team that created Siri, the intelligent assistant. At Apple for over 8 years, Tom led the Advanced Development Group that designed and prototyped new capabilities for Siri and related products that bring intelligence to the interface.

Tom promotes the philosophy of Humanistic AI, which he presented in a popular TED talk. He was a founding board member of the Partnership on AI to Benefit People and Society and supports the Center for Humane Technology. He advises companies and non-profit organizations that use technology to have a positive impact on humanity.

James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering at Stanford University. He specializes in human-computer interaction. He is the founder and co-director of the World Lab, a joint research and educational effort with Tsinghua University in Beijing. Previously, Landay was a Professor of Information Science at Cornell Tech in New York City and prior to that he was a Professor of Computer Science & Engineering at the University of Washington. From 2003 through 2006 he was the Laboratory Director of Intel Labs Seattle, a university affiliated research lab that explored the new usage models, applications, and technology for ubiquitous computing. He was also the chief scientist and co-founder of NetRaker, which was acquired by KeyNote Systems in 2004. From 1997 through 2003 he was a professor in EECS at UC Berkeley. Landay received his BS in EECS from UC Berkeley in 1990, and MS and PhD in Computer Science from Carnegie Mellon University in 1993 and 1996, respectively. His PhD dissertation was the first to demonstrate the use of sketching in user interface design tools. He was named to the ACM SIGCHI Academy in 2011 and as an ACM Fellow in 2017. He formerly served on the NSF CISE Advisory Committee.

Yusung Chang is Executive Vice President of Mobility Business Division for SK Telecom where his team is working on class-leading services including T map--No. 1 navigation software in Korea, T map Taxi, T map Parking as well as several other mobility products.

He has been focusing on data-driven strategy and development throughout his career. He spent more than 10 years at Wolfram Research—the makers of Mathematica and Wolfram Alpha which powers mobile personal assistants including Siri and Bixby—where he held various positions including Chief Product Officer. In 2013, he led advanced UX and R&D group in Samsung Mobile and spearheaded the launch of Samsung Digital Health Platform and other advanced services. He has been engaging with several AI startups and recently cofounded Huma AI, a natural language-driven healthcare automation company. He also serves as a board member of Grab Geo Holdings--a joint venture between Grab and SK Telecom.

Heiga Zen received his AE from Suzuka National College of Technology, Suzuka, Japan, in 1999, and PhD from the Nagoya Institute of Technology, Nagoya, Japan, in 2006. He was an Intern/Co-Op researcher at the IBM T.J. Watson Research Center, Yorktown Heights, NY (2004--2005), and a Research Engineer at Toshiba Research Europe Ltd. Cambridge Research Laboratory, Cambridge, UK (2008--2011). At Google, he was in the Speech team from July 2011 to July 2018, then joined the Brain team from August 2018. His research interests include speech technology and machine learning. He was one of the original authors and the first maintainer of the HMM-based speech synthesis system (HTS).

Tae Hyun Kim received the BS and MS degrees from the Department of Electrical Engineering, KAIST, Daejeon, Korea, in 2008 and 2010, respectively, and the PhD degree in electrical and computer engineering from Seoul National University (SNU), Seoul, Korea, in 2016. Then, he worked as a postdoctoral researcher with Bernhard Schölkopf in the Max Planck Institute for Intelligent Systems for two years, and currently he is working as an assistant professor in the department of computer science at Hanyang University. His research interests lie in the areas of low-level computer vision and computational photography.

Jake Snell is a final year PhD student advised by Richard Zemel at the University of Toronto and Vector Institute. His research interests include few-shot learning, Bayesian methods, and interpretable representation learning. His work on perceptual similarity metrics was a finalist for the best student paper award at the IEEE International Conference on Image Processing in 2017. He was a research intern in 2018 at SK Telecom, mentored by Dongyeon Cho, and in 2016 at Twitter, mentored by Kevin Swersky. He received an M.S. in Computer Science from the University of Toronto in 2014 and a B.S. (cum laude) in Biomedical Engineering from Yale University in 2010.

Dongyeon Cho received his B.S., M.S., and Ph.D. degrees in computer engineering from Seoul National University. He was a guest researcher at National Institute of Standards and Technology (NIST), USA. Then, he worked as a postdoctoral/research fellow at National Institutes of Health (NIH), USA. Before joining SK Telecom, he was a research fellow at Institute for Basic Science (IBS), Korea. Now, he is a project leader of Meta AI, T-Brain, SK Telecom.

Dr. Taeyoon Kim is research scientist in T-Brain. His research interests lie in conversational AI which includes spoken language understanding, dialogue management, question answering. He has been working on several language understanding and speech recognition projects at industry scale which includes SKT NUGU, Samsung S-Voice (now Bixby). He received a PhD in statistical signal processing from Korea University.

Dr. Chulhan Kim is an AI Product Engineer of AI Center, SK telecom. He worked as a software engineer/machine learning engineer in Demolen Korea, Nowbusking and Perples, Seoul-based startups. He received a B.S. and Ph.D. degrees from KAIST.

Seunghwan Jung is a member of AI Product Science of AI Center, SK Telecom. He worked as a data scientist/machine learning engineer in Deloitte Consulting, LG CNS. He received a M.S in Industrial Engineering from KAIST.

Dr. Huang was Principle Scientist and Architect (T10) at Baidu, one of core leaders in founding IDL. He is one of the top researcher in computer vision, machine learning, pattern recognition and information globally. As a renowned deep learning expert in both industry and academia, he has over 4400 citations and owns 6 US patents. The face recognition system he developed was adopted by a wide range of digital cameras (80 percent of the market) and image management applications including Apple’s iPhoto. At Baidu, he led the image technology team at IDL launched multiple important products including a full-web face search engine, similar image search, text recognition in natural scenes, mobile image search, image smart match, etc. Prior to Baidu, Dr. Huang served as a researcher at the University of Southern California and NEC Labs America. He received his B.S., M.S. and Ph.D. Degree from the Department of Computer Science and Technology at Tsinghua University, where he received many awards including MSRA Fellowship of 2006, Tsinghua’s Excellent PhD Thesis Award of 2007, Beijing’s Excellent PhD Thesis Award of 2007, etc. Dr. Huang also won the 2012 1st Excellent Research Achievement Award with his project “Theory and Methods of Geometrical Computation in Visual Media” and participated in China’s 973 Plan project “3D-Space Oriented Theory and Methods of Information Processing of Internet Information in Chinese”.

Dr Shawn Wen is the CTO and Co-Founder of PolyAI, a London-based Conversational AI company. Before starting PolyAI, Shawn worked at Google Brain and was a research consultant to the IPSoft Amelia team. He has given several invited talks at corporates including Google, Apple, Baidu, and Samsung. His work on language generation won the best paper award in both EMNLP and SigDial. He holds a PhD at Cambridge, working with Professor Steve Young at the Dialogue Systems Group.

Jinhan Kim is the CEO and Co-Founder of Standigm, a company using AI technology for drug discovery and development and is serving a director of drug Informatics at The Korean Society of Medical Informatics. Before starting Standigm, Jinhan worked at the Samsung Advanced Institute of Technology as a Senior Research Scientist, and he received a PhD in Artificial Intelligence from The University of Edinburgh.

Daeseob Lim is the head of Ad Cloud partnership in Moloco, a Palo Alto -based leading mobile ad-tech company. Before joining Moloco, Daeseob worked at Castis as a R&D leader, prelimiary ML research for IPTV VOD solutions . He holds a M.S in Computer Science at UC San Diego.

Junhee Heu received the Ph.D degree in electrical engineering from Seoul National University (SNU) in 2009. After postdoctoral associate position at Georgia Institute of Technology in USA, he was a senior researcher at ICT R&D center of Samsung SDS from 2011 to 2013. He is now working for AI center of SK Telecom as a senior engineer, where he is in charge of DNN based face recognition. His research topics include image processing and recognition.

Seunghwan Jung is a member of AI Product Science of AI Center, SK Telecom. He worked as a data scientist/machine learning engineer in Deloitte Consulting, LG CNS. He received a M.S in Industrial Engineering from KAIST.