Black Box AI - Achieving Explainable and Transparent AI
Enter Pandora's Black Box of AI - Join us for a lively discussion demystifying the black box - calling for AI explainability & transparency About the event AI technologies are notorious for their ‘black-box’ nature. Even AI experts sometimes cannot explain how exactly sophisticated AI modules reach specific decisions or inferences. In addition to that, AI developers protect AI algorithms and modules as trade secrets, which further increases AI opacity. Is ‘black-box AI’ an actual problem for those who develop or use AI in their businesses or when providing public services? Who is affected worst? Are there solutions or emerging practices that aim to address the ‘black-box’ nature of AI? Will more transparency and explainability of AI help address other problems associated with AI, such as bias, privacy concerns, and accountability issues? These and other issues will be explored by an experienced panel of industry and academic experts in the field of AI and law.
Speakers
Dr Rita Matulionyte (Chair) is a senior lecturer and researcher at Macquarie University Law School She is an international expert in IP and technology law. Rita has over 40 research papers published by leading international publishers and was invited to present her research in conferences in Europe, US, Japan, Hong Kong and Australia. She has prepared expert reports for the European Commission, the European Patent Office, and for the governments of South Korea and Lithuania. Member of the AUSCL Management Committee and IPSANZ.
Dr Ali Akbari PhD from Tokyo Institute of Technology specialised in computer vision, with expertise in AI, robotics and software engineering. Currently director and national AI capability lead at KPMG. Ali is specialised in processing images and textual unstructured data and application of AI/ML in operationalising real-time risk management solutions in various industries including manufacturing, finance, and public sector as well as standards development.
Prof Kimberlee Weatherall - Professor of Law at the University of Sydney, and a Chief Investigator with the ARC Centre of Excellence for Automated Decision-Making and Society. In technology law, her current research focuses on the law relating to the collection, ownership, use and governance of data about and related to people. Fellow at the Gradient Institute, and member of the ACS’ Advisory Committee on AI Ethics.
Aurelie Jacquet is a member of the NSW Government AI Advisory Committee. She also works on leading global initiatives for the implementation of Responsible AI. Aurelie is the chair of the standards committee representing Australia at the international standards on AI. She is an expert for the IEEE and works with them on various initiatives, such as the standard on organizational governance of AI, the Ethics Certification Program, and she also leads the work stream on Dignity and Agency as part of IEEE’ s Digital Inclusion, Identity, Trust, and Agency program. She is a member of the European AI Alliance, the editorial board of Springer’s International Journal on AI & Ethics, and of the Australian Computer Society’s AI Ethics Committee. In 2021, she won the Australia-New Zealand Women in AI and the law award, and was recognised by Women in AI Ethics (WAIE) as one of the 100 Brilliant Women in AI Ethics globally.
Tiberio Caetano - Chief Scientist Gradient Institute. He is a machine learning researcher and leader, having worked in Brazil, Canada, France and Australia. He was a researcher at NICTA (now Data61) for 10 years. He published extensively in the premier machine learning research venues and graduated numerous PhD students, among whom are leading data scientists, researchers and academics at top universities and industry labs across Australia, the US and Europe. He co-founded Ambiata, later acquired by Australia's largest general insurer IAG, where he led the design of decision-making algorithms that have touched millions of consumers across several industries. Recently he helped establish Gradient Institute, a not-for-profit research institute focusing on Responsible AI. Tiberio is an Adjunct Professor at UNSW, an Honorary Professor at the ANU and an advisor for the OECD on AI.
About AUSCL
The Australian Society for Computers and Law, is a registered Australian charity established for the purpose of advancing education and policy at the intersection of technology, law and society. Our global network of members include IT, Legal and Policy professionals, academics, students and leaders of civil society. We are passionate about multi-disciplinary approaches to solving some of the most pressing challenges ushered in by technology and digitization. Join our mailing list today via: https://ausclsubscribe.eventbrite.com.au