Is AI the Key to Fighting Fake News?
Monday, December 14, 2020
Are you bombarded with Covid19 information and election related information? Can you identify facts from fiction? Are you sure you’re not aiding the spread of misinformation and “Fake News”?
The dissemination of fake news on social media platforms is a troubling and destructive trend with dire implications for the election and reducing Covid19 cases. That’s why everyone from large tech companies to colleges and universities are stepping up to create solutions that combat fake news.
A recent study from NYU Tandon and Abu Dhabi Research Institute researchers revealed that pairing headlines with credibility alerts from fact-checkers, the public, news media and even artificial intelligence (AI), can reduce peoples’ intention to share misinformation. This conversation focused on how new AI tools could help social media networks and news organizations weed out fake news.
Hoda A. Alkhzaimi, Research Assistant Professor, NYU Abu Dhabi
Hoda A. Alkhzaimi served in different posts for research and development in Cyber Security and Cryptology for the past years. She headed the Department of Research and Development for Cyber Security and Cryptology in different national initiatives in the United Arab Emirates along with her associations to different security initiatives nationally and internationally.
Alkhzaimi has a specific expertise in cryptology; cryptanalysis, constructing and validating security hardware and software components, constructing trusted security architectures for different environments in different products for the respective industries. Hoda A.Alkhzaimi obtained her PhD in Cryptanalysis from Denmark Technical University. Her current research interests include Space, Aerospace and UAV security, constructing and analyzing cryptographic primitives, validating and investigating links between different cryptanalytic approaches and utilizing cryptographic primitives in different cyber security architectures as in Internet of Things and big data analysis among others.
Siddharth Garg, Associate Professor, NYU Tandon
Siddharth Garg is currently the Institute Associate Professor of ECE at NYU Tandon, where he leads the EnSuRe Research group (https://wp.nyu.edu/ensure_group/). Prior to that he was in Assistant Professor also in ECE from 2014-2020, and an Assistant Professor of ECE at the Unversity of Waterloo from 2010-2014. His research interests are in machine learning, cyber-security and computer hardware design.
He received his Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2009, and a B.Tech. degree in Electrical Enginerring from the Indian Institute of Technology Madras. In 2016, Siddharth was listed in Popular Science Magazine's annual list of "Brilliant 10" researchers. Siddharth has received the NSF CAREER Award (2015), and paper awards at the IEEE Symposium on Security and Privacy (S&P) 2016, USENIX Security Symposium 2013, at the Semiconductor Research Consortium TECHCON in 2010, and the International Symposium on Quality in Electronic Design (ISQED) in 2009. Siddharth also received the Angel G. Jordan Award from ECE department of Carnegie Mellon University for outstanding thesis contributions and service to the community. He serves on the technical program committee of several top conferences in the area of computer engineering and computer hardware, and has served as a reviewer for several IEEE and ACM journals.
Rachel Greenstadt, Associate Professor, NYU Tandon
Rachel Greenstadt holds a bachelor’s degree in Computer Science (2001) and master’s degrees in Electrical Engineering and Computer Science (2002) from MIT, as well as a Ph.D. (2007) in Computer Science from Harvard. Her honors have included membership in the DARPA Computer Science Study Group, a U.S. Department of Homeland Security Fellowship, a PET Award for Outstanding Research in Privacy Enhancing Technologies, and a National Science Foundation CAREER Award.
Greenstadt's research has focused on designing more trustworthy intelligent systems — systems that act not only autonomously, but also with integrity, so that they can be trusted with important data and decisions. She takes a highly interdisciplinary approach to this research, incorporating ideas from artificial intelligence, psychology, economics, data privacy, and system security.
Nasir Memon, Vice Dean for Academics and Student Affairs, NYU Tandon
Nasir Memon is Vice Dean for Academics and Student Affairs and a Professor of Computer Science and Engineering at the New York University Tandon School of Engineering. He is an affiliate faculty at the Computer Science department in NYU's Courant Institute of Mathematical Sciences, and department head of NYU Tandon Online. He introduced cyber security studies to NYU Tandon in 1999, making it one of the first schools to implement the program at the undergraduate level. He is a co-founder of NYU's Center for Cyber Security (CCS) at New York as well as NYU Abu Dhabi. He is the founder of the OSIRIS Lab, CSAW, The Bridge to Tandon Program as well as the Cyber Fellows program at NYU. He has received several best paper awards and awards for excellence in teaching. He has been on the editorial boards of several journals, and was the Editor-In-Chief of the IEEE Transactions on Information Security and Forensics. He is an IEEE Fellow and an SPIE Fellow for his contributions to image compression and media security and forensics. His research interests include digital forensics, biometrics, data compression, network security and security and human behavior.
Christina Pöpper, Assistant Professor of Computer Science, NYU Abu Dhabi
Christina Pöpper is Assistant Professor of Computer Science at NYU Abu Dhabi. She is heading the Cyber Security & Privacy Lab and is the director of research at the Center for Cyber Security at NYUAD. Prior to joining NYUAD in 2016, Christina was Assistant Professor at Ruhr-University Bochum, Germany, heading the Information Security Group at the Department of Electrical Engineering and Information Technology. She received her doctoral (2011) and graduate degrees (2005) in Computer Science from ETH Zurich.
Her research focus is on cyber security for current and emerging IT and communication systems. Specific research contributions are in cellular network security, secure positioning, communication and network security and – increasingly – on aspects of privacy and digital forgetting. She serves regularly on the technical program committee of the top conferences in computer security (IEEE S&P, USENIX Security, ISOC NDSS), on the steering committee of ACM WiSec, and has served as a reviewer for a number of ACM and IEEE journals."
Steven Rosenbaum, Executive Director, NYC Media Lab
Steven Rosenbaum is the Executive Director of NYC Media Lab. Rosenbaum was New York City’s first Entrepreneur at Large, for NYCEDC. He has started five companies, all in the video platform and digital storytelling space. He has two patents in video technology and has written two books - Curation Nation (McGraw-Hill) and Curate This (Amazon). He has presented two TED talks He holds two EMMY awards and was honored with the Science Journalism Laureates at Purdue University. Rosenbaum is a journalist, podcaster, and filmmaker. He holds a BA in English from Skidmore College in Saratoga Springs, NY.