The Human Centric AI Seminars Series
The Human Centric Security team are running a new monthly series “The Human Centric AI Seminars” that will focus on various research topics in human centered AI.
For more info contact: Kristen Moore and Tina Wu
Free access to anyone interested in Humans and AI
More information to come
If you have missed the last one:
Date: 27/10/21 13.00-13.50 AEDT
Speaker: Dr Amir Dezfouli https://adezfouli.github.io/
Title: Modelling and influencing behaviour using recurrent neural networks and reinforcement-learning.
Bio: I earned my BSc and MSc in software engineering and artificial intelligence from the University of Tehran. I then moved to Australia and earned my PhD from the University of Sydney, in which I studied computational mechanisms of hierarchical decision-making. I then spent two years at the University of New South Wales (UNSW) working on deep neural network models of behavioural and neural data. I joined the machine learning research group in CSIRO, Sydney in 2018, and since then my research has been centered around machine learning and studying artificial and biological decision-making systems.
Abstract: It has recently been suggested that recurrent neural networks provide a flexible way for modelling human behaviour. In this talk, I will present different recurrent neural network architectures for modelling behavioural data and compare their abilities with traditional computational models. I’ll further present a reinforcement-learning framework in which recurrent neural networks can be used to influence human choices and explore its ability in simple scenarios to complex social decision-making tasks.
Date: 29/9/21 1PM AEST
Speaker: Prof. Lexing Xie http://users.cecs.anu.edu.au/~xlx/
Title: The Anatomy of Online Video Popularity
Bio: Lexing Xie is Professor of Computer Science at the Australian National University, she leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au). Her research interests are in machine learning and the social web. Of particular recent interests are stochastic time series models, neural networks for sequences and graphs. Her research is supported by the US Air Force Office of Scientific Research, Data61, Data to Decisions CRC and the Australian Research Council. Lexing’s research has received seven best paper awards and honourable mentions in ACM and IEEE conferences between 2002 and 2019. Before the ANU, she was Research Staff Member at IBM T.J. Watson Research Centre in New York, and adjunct assistant professor at Columbia University. She received BS from Tsinghua University, Beijing, China, and PhD from Columbia University, all in Electrical Engineering.
Abstract: What makes a video popular, and what drives collective attention online? This talk gives an overview to our recent work in understanding and predicting online collective attention, especially for YouTube videos. I will first describe longitudinal measurement studies on video popularity history, the networks among videos, and quantifying popularity vs engagement. I will then discuss a physics-inspired stochastic time series model that connects exogenous stimuli and endogenous responses to explain and forecast popularity. This, in turn, leads to a set of novel metrics for forecasting expected popularity gain per share, and sensitivity to promotions. Finally, I will describe a few novel machine learning models that connects self-exciting point processes to epidemics, that derives a succinct and general representation for point processes, and one that models networks of time series. These results will guide our further pursuits on understanding and modelling the attention economy.
Date: September 1st, 13.00-14.00 AEST
Speaker: Alana Maurushat (Western Sydney University) https://www.westernsydney.edu.au/staff_profiles/WSU/professor_alana_maurushat
Title: Shaking the Cybersecurity Kaleidoscope – An Immersive Look into Human Behaviour and Cybersecurity
Bio: Dr. Alana Maurushat is Professor of Cybersecurity and Behaviour at Western Sydney University where she holds a joint position in the School of Computer Science & Mathematics, and in the School of Social Sciences and Criminology, and is Key Researcher with the CRC Smart Satellites. She is currently researching on Payment Diversion Fraud and Ransomware, Tracking Money-Laundering through Bitcoin Blenders, distributed extreme edge computing for micro-clustered satellites, and Ethical Hacking.
She previously was Senior Lecturer in Law, Key Researcher on the CRC Data to Decisions – Big Data in National Security, and Senior Fellow with the Australian CyberSecurity Centre for Research and Education all at UNSW. She is the Cyber-Ambassador for the NSW Cybersecurity Network. She is on the Board of Directors for the cybercrime investigation company IFW Global. She lectures & researches in Cybersecurity, Privacy and Security by Design, Cyber Risk Management, and Artificial Intelligence across the disciplines of law, criminology, business, political science and information communications technology. Alana has done consultancy work on cyber security, open data, big data, technology and civil liberties for both the Australian and Canadian governments, industry and NGOs. Alana has done media with 60 Minutes, the New York Time, Insight, ABC, and 730 Report, and is the author of many books and articles
Abstract: Over 10,000 new cybersecurity technologies are developed each year yet we do not see a correlating decrease in cybersecurity threats. This is because cybersecurity isn’t a mere computer science problem. The most vulnerable part in the security chain is humans. But humans are also a valuable asset in countering cybersecurity threats. A kaleidoscope is constantly changing pattern or sequence of elements. In cyber we need to shake the kaleidoscope to create new ways of both identifying and solving problems. This presentation will be somewhat unorthodox. Maurushat will weave a story through the thread of human behaviour and cybersecurity with the primary objective of making sense out of chaos. What do Mars Bars, Perestroika, Carrots, Transylvania, Robin Hood, Talin, Majong, Anti-Vaccination, the Mayor of Montreal, Tails and Pineapples have to do with cybersecurity? In her presentation, Professor Maurushat encapsulates key human behaviour issues in cybersecurity based on 17 years of experience and research in ethical hacking, vulnerability markets, cybercrime investigations and cybersecurity policy consultation with governments and intelligence agencies. There are no easy answers to cybersecurity challenges. However, this presentation will stimulate thinking about how to use the power of human behaviour to improve cybersecurity through emerging fields of behaviour data engineering, artificial intelligence, behavioural economics and neuro-diversity as evolution.
Human inspired and implicit signal based approaches for deepfake detection
Dr. Abhinav Dhall, Monash University
Explainable artificial intelligence: beware the inmates running the asylum (or How I learnt to stop worrying and love the social and behavioural sciences)
If you have missed it: check the recording Apr 14, 2021 13.00 – 13.50 Speaker: Tim Miller https://people.eng.unimelb.edu.au/tmiller/ Title: Explainable […]
Understanding human tasks from wearable sensor signals
If you have missed it, recording available here: https://csiro.webex.com/recordingservice/sites/csiro/recording/59fc60f194fa1039b6bb005056bab5c0/playback May 12, 1300 AEST Title: Understanding human tasks from wearable sensor […]