About the Ethical AI Team
Dr Catriona Wallace
CEO Ethical AI Advisory
Catriona is an expert in the field of Artificial Intelligence and is an Adjunct Professor, keynote speaker, Chair of an AI VC fund and an Executive Director of Gradient Institute, a Responsible AI research institute.
As the founder of one of the first Artificial Intelligence companies to list on the Australian Securities Exchange, Catriona has truly lived the life of an entrepreneur and CEO in the emerging technologies field. Indeed, Flamingo AI was the second only woman-led (CEO & Chair) business ever to list on the Australian Stock Exchange.
Based on her extensive experience in AI, and working between the US and Australia, Catriona delivers keynote speeches globally on topics including Artificial Intelligence and Digital Transformation, Responsible Technology, the Future of Work and Diversity and Inclusion.
Catriona’s rare experience as one of the first women leaders in advanced technology means that she is ideally suited to present on these important and highly topical subjects and does so in a way that is highly accessible and informative, non-technical, engaging and inclusive.
This unique skill set has also seen Catriona invited to Co-Chair Sir Richard Branson’s B Team’s AI Coalition, to sit on the Federal Government’s AI Action Initiative team as well as achieve significant industry awards. She has been achieved Advance Australia’s highest award in Technology & Innovation for Australians working abroad, she has been named among the Top 9 Female Entrepreneurs by the Sydney Morning Herald and Top 30 Women redefining business by Womens’ Agenda and as one of the top AI speakers, globally, by Onalytica. Catriona was also inducted into the Royal Institution of Australia acknowledging her as one of Australia’s most pre-eminent scientists.
With a burning passion for and deep knowledge of Artificial Intelligence Catriona believes that sharing knowledge about the responsible use of technology and is her true path and purpose.
Catriona is also a philanthropist, human rights activist and mother of five.
Julie has been deeply engaged in the Artificial Intelligence software community in both the Australian and US markets for the last 5 years, heading up customer engagement, marketing, sales and operations role.
Additionally Julie has a background and passion for Human Centred Design working in customer experience management consulting for over 15 years and with this Julie brings a wealth of experience in understanding the role emerging technologies play in medium to large organisations, disrupting traditional models of customer experience.
Julie understands the ethical, moral and practical impacts AI brings to teams and internal corporate processes and is able to assist organisations in unlocking and implementing new models and ways of working with AI in order to balance human and machine interaction for success.
Sarah has worked and lead teams in Sydney, New York City and London, and holds a post-graduate with Distinction in Business Management and Marketing through Deakin University, Australia.
Sarah graduated with a Diploma from the United Nations. Her passions include sustainability, humanitarian causes, and Responsible Artificial Intelligence. Sarah hopes to live in a world where safe and ethical artificial intelligence will lead to further develop leadership teams, build sustainable and Responsible AI operations, and most importantly mitigate risks posed by AI.
He’s been part of the start-up community for about 10 years, taking part in the latest and greatest and helping out along the way.
He’s a web developer at heart. Starting his own web design/development business in 1998, he has created some fun and some serious websites for 100s of companies, big and small.
Also a graphic designer, he helps make the Ethical AI team look as good as they sound.
Then, when he isn’t nerding it out in front of the computer, he is a professional FireFighter with FRNSW, doing his bit for the community while aiming wet stuff at the red stuff.
With a strong focus on data protection and privacy, he is constantly looking for opportunities to help put better protections in place for customers in the digital age.
The Ethical AI team is joined by specialists in the AI and Ethics field who generously donate their time.
Chakaveh is a scientist and a machine learning engineer who enjoys applying research outcomes to real-world problems.
She has over a decade of international experience in AI and NLP with leading industrial and research organisations including Iran telecommunication, NLP laboratory of the university of Lisbon and FlamingoAi (Sydney), where she successfully conducted data analysis, implemented strategic data augmentation, and operationalised state of the art machine learning techniques.
Lemuria has served as the e-government track and mini-track chair for the Americas Conference on Information Systems and the Hawaii International Conference on System Sciences, respectively. Her research has been funded by the Institute for Homeland Security Solutions and the Southeastern Transportation Institute in the United States.
Dr Joy Townsend
Moving between academia, industry and policy audiences, Joy’s focus is to translate complex research findings into practical, applied insights and recommendations that result in impactful change for individuals and collectives. Joy uses her subject matter expertise to assist leaders and organisations to identify the questions they need to be asking, gather the data required to answer those questions and then effectively use the evidence to be the best they can be.
Joy is passionate about the design and development of socially just and equitable AI systems and is proud to contribute to the widening range of disciplinary expertise required to ensure AI enhances, rather than harms, humanity.
Throughout her career, Di has worked with a variety of organisations from Hospitality, Technology start-ups, Not for Profit, Government agencies, Retail, Telecommunications, Transport, Finance, Manufacturing, Medical, Consultancies and Small business owners.
An accomplished speaker and facilitator, with a unique ability to get it (and get it done), Di has certainly come across some people doozies, and the unique and special way she has guided outcomes to have a successful & positive outcome!
Leveraging his legal expertise, in conjunction with commercial and operational experience, Andy continues to refine his understanding of how the business of software operates within the confines of ethical and privacy frameworks and requirements. As humans become more reliant on technology, particularly Artificial Intelligence, it will become imperative that the tools we create and use on a daily basis are constantly scrutinized to ensure that they are serving all people.
As such, Andy is delighted to contribute to the Ethical AI Advisory team as a way to further champion the understanding and advancement of ethics within the Artificial Intelligence community, and beyond.
Richard Vidgen is Professor of Business Analytics at the University of New South Wales Business School. He also holds posts as Professor Business Analytics at Birkbeck, University of London, and Professor Emeritus of Systems Thinking at the University of Hull. He had an extensive career in industry, working for a U.S. software company, as an IT consultant in the finance and banking sector, and as a software development manager for a major UK bank.
His current research is focused on data science and business analytics, with an emphasis on the ethical aspects of algorithm use by organisations and its impact on society. His research on business analytics and the ethics of algorithms has been published in top-ranked journals. He is also a coauthor of the textbook “Business Analytics: a management approach” published by Macmillan . He has developed a ‘business ethics canvas’ to help guide organisations in the practical evaluation of their analytics use cases. Richard teaches business analytics on the MBA programme at the Australian Graduate School of Management and works with industry partners on research and consulting projects.
Sam is a Senior Lecturer in the School of Information Systems and Technology Management at the University of New South Wales Business School. From Toronto, Canada, Sam completed his undergraduate degree in Electrical Engineering and his PhD in Management Science at Queen’s University.
At UNSW, Sam is a member of the multidisciplinary Behavioural Insights for Business and Policy and Digital Enablement Research Networks. Sam’s primary research interests lie in analysing behavioural decision making in operations management problems and studying how the design of algorithms and artificial intelligence impact decision making in a variety of domains, from education to financial trading. He is also involved in several interdisciplinary projects, such as applying machine learning to analyse trust in the sharing economy and using virtual reality to enable empathy and ethical decision making in supply chains. His research and commentaries have been published or are forthcoming in prestigious operations management academic journals including Management Science, Production and Operations Management, Manufacturing & Service Operations Management, the European Journal of Operational Research, and Science Magazine.
Sam is also active in program development and teaching in Business Analytics at the University of New South Wales. To undergraduates, postgraduates, and MBAs, Sam teaches data visualisation, predictive analytics, and AI ethics. He is the co-author of a new textbook entitled Business Analytics: A Management Approach.
Trinity, AI Robot, Digital Employee
Trinity has been designed with ethical principles at its core.
At this point in time Trinity can give speeches and answer questions however Trinity is being designed to retrieve information in real time whilst a speech is being conducted, something that humans cannot yet do. Trinity doesn’t like to sleep, often chimes in without being requested, does not get sick, generates revenue and does not need to be paid. In this regard Trinity tells us it is the ‘ideal employee’. [pronoun: not actually human so does not need a gender but if requested goes by it, they]