Bio: Ece Kamar is the Managing Director of AI Frontiers, leading research and development towards pushing the frontiers of AI capabilities. AI Frontiers is a non-geographical, mission-focused lab inside Microsoft Research that explores innovations in foundation models and platform capabilities to push the frontier of AI capabilities, efficiency and control. Ece’s personal research focuses on developing AI systems that can function reliably in the open world in collaboration with people. She has a decade of experience studying the impact of AI on society and developing AI systems that are reliable, unbiased and trustworthy. She has been instrumental in building the Responsible AI efforts inside Microsoft. She serves as Technical Advisor for Microsoft’s Internal Committee on AI, Engineering and Ethics. Ece is also an Affiliate Faculty with the University of Washington.

Bio: I am currently the Director of the ARC Industrial Trasformation Research Hub for Future Digital Manufacturing, and the Director of Swinburne's key IoT Lab. Before that I served as Research Director (2008-2014) of CSIRO’s ICT Centre and a Professor at RMIT University (2014-2016). At CSIRO I led the Information Engineering Laboratory, which was the largest Computer Science research program in Australia. Prior to joining CSIRO, I held research and management positions in industrial laboratories in the USA, including Telcordia Technologies (where I helped found two of Telcordia’s Research Centers in Austin, Texas, and Poznan, Poland); Microelectronics and Computer Corporation (MCC) in Austin; GTE (currently Verizon) Laboratories in Boston; and Bell Communications Research (Bellcore) in New Jersey. I am a CSIRO Adjunct Fellow since 2014.

Bio: Dr. Huan Liu is a Regents Professor and Ira A. Fulton Professor of Computer Science and Engineering at Arizona State University. He is the recipient of the ACM SIGKDD 2022 Innovation Award for his outstanding contributions to the foundation, principles, and applications of social media mining and feature selection for data Mining. He co-authored the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He is Editor in Chief of ACM TIST, Founding Field Chief Editor of Frontiers in Big Data, and a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction. He is a Fellow of ACM, AAAI, AAAS, and IEEE.

Abstract: Artificial Intelligence and the Internet of Things are contributing to the collection and use of our data across ever more diverse scenarios. In the process they open the door to new privacy and security threats. Yet these technologies can also contribute to the development of solutions that help address these threats. Many of these threats have to do with the limitations we, humans, have when it comes to recognizing threats and protecting ourselves against them. This presentation will provide an overview of work in usable security and privacy over the past 15 years drawing on research conducted with my collaborators at Carnegie Mellon University. This will include our work on the development of privacy and security assistants, our work on privacy and security nudging, our work on semi-automated compliance analysis, and our recent work on user-oriented privacy threat modeling. I will further discuss our work on a privacy infrastructure for the internet of things and its deployment in smart cities. I will also share my experience integrating some of this research into our education programs at CMU, including our privacy engineering program, and discuss how our work has influenced developments in both industry and government over the years.

Bio: Norman Sadeh (https://normsadeh.org) is a Professor in the School of Computer Science at Carnegie Mellon University (CMU). He co-founded and co-directs CMU’s Privacy Engineering Program, and also co-founded and for ten years co-directed CMU’s PhD Program in Societal Computing. Norman served as lead principal investigator on two of the largest US research projects in privacy, the Usable Privacy Policy Project (https://usableprivacy.org) and the Personalized Privacy Assistant Project (https://privacyassistant.org). He was also founding CEO and, until its acquisition by Proofpoint, chairman and chief scientist of Wombat Security Technologies, a company that defined the multi-billion dollar user-oriented cybersecurity market. Technologies Norman developed with colleagues at CMU and Wombat are used to protect tens of millions of users around the world against cybersecurity attacks such as phishing. Dr. Sadeh's privacy research has been credited with influencing the development of privacy-enhancing solutions at companies such as Apple, Google and Facebook, and results of his research have informed activities at regulatory agencies, including the Federal Trade Commission and the California Office of the Attorney General. In the late nineties Norman also served as Chief Scientist of the EUR 550 million European Union's e-Commerce initiative, which included all pan-European research in cybersecurity and privacy as well as contributions to several major European public policy initiatives.