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Re-humanising automated decision-making

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Monash University Caulfield Campus

MADA Building G, Level 1, Lecture theatre 4

900 Dandenong Road

Caulfield East, VIC 3145

Australia

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Automated Decision-Making is making important but invisible choices for us and our society. How can we participate in shaping this future?


We live in an era where automation has changed from being something that makes things to being a process that makes important decisions about people’s lives and opportunities based on algorithmic data processing. Automated Decision-Making (ADM) is increasingly prevalent in contemporary societies. It is slowly becoming part of our everyday lives, organisations and institutions, often in almost invisible ways. We need to understand the human elements of ADM so we can ensure that it is ethical and responsible, aligns with societal structures and resonates with and supports the complexity of our future lives.

After the discussion, please join us for refreshments, networking and the launch of our new book 'Imagining Personal Data: Experiences of Self-Tracking' by Vaike Fors, Sarah Pink, Martin Berg and Tom O'Dell. The book will be launched by Professor Heather Horst, University of Sydney.

These events are hosted by the Emerging Technologies Research Lab and the Data Futures Institute at Monash University and the Swedish Riksbankens Jubileumsfond Fund Re-humanising Automated Decision-Making Network at Malmö University.



Program

5pm Introductions and opening the event - Professor Sarah Pink, Monash University

5:15pm Keynote address ‘Debating and repairing Automated Decision Making (ADM) systems’ - Minna Ruckenstein, University of Helsinki

5:45pm Respondents Julian Thomas- RMIT University, Elizabeth Croft- Monash University, Ann Nicholson - Momnash University

6:15pm Audience Q & A

6:30 - 8:00pm Drinks and networking in Building G foyer + Book launch ‘Imagining Personal Data’


Speakers

Minna Ruckenstein, keynote speakerProfessor Minna Ruckenstein is an author of the 2019 report on 'Automating Society Taking Stock of Automated Decision-Making in the EU'. Based in Helsinki, Finland, she directs research that focuses on the emotional, social, political and economic aspects of datafication and current and emerging data practices. She has published widely in top-quality journals, including Social Science & Medicine, Big Data & Society and the Annual Review of Anthropology. Ruckenstein works in a participatory and exploratory mode, in interdisciplinary groups and with stakeholders involved. Her most recent collaborative project focuses on the re-humanizing of ADM. Minna is an associate professor at the Centre for Consumer Society Research and the Helsinki Center for Digital Humanities, University of Helsinki.

Sarah Pink, Director Emerging Technologies Research Lab

Professor Sarah Pink is the Director of the Emerging Technologies Research Lab and has a joint appointment across the Faculty of Art, Design and Architecture and the Faculty of Information Technology. Sarah's research focuses on emerging intelligent technologies, automation, data, digital futures, safety and design for wellbeing.

Professor Julian Thomas is the Director of the Technology, Communication and Policy Lab at DERC and the Director for the Enabling Capability Platform for Social Change at RMIT. He is a researcher in digital media and the internet, including media, communications and information policy and the history of communications technologies. Julian’s recent work includes the Australian Digital Inclusion Index (2016), Internet on the Outstation (Institute of Network Cultures, 2016), and The Informal Media Economy (Polity, 2015).

Elizabeth Croft, respondent

Professor Elizabeth Croft is Dean of the Faculty of Engineering and recognised internationally as an expert in the field of human-robot interaction. Her work advances the design of intelligent controllers and interaction methods that underpin how people and autonomous, collaborative systems can work together in a safe, predictable, and helpful manner. She has led large-scale collaborative research projects utilising robots alongside people in manufacturing and guided multidisciplinary initiatives with General Motors, the DLR (German Aerospace Centre) and other industry partners.

Professor Ann E. Nicholson is a Professor and Deputy Dean Research in the Faculty of Information Technology. Other recent leadership roles including (Acting) Deputy Dean 2016-2017, and Associate Dean (Education) 2014-2016. After completing her BSc (Hons) and MSc in Computer Sciene at the University of Melbourne, in 1988 she was awarded a Rhodes scholarship to Oxford, where she did her doctorate in the Robotics Research Group. After completing a post-doc at Brown University, she returned to Australia to take up a lecturing position position at Monash in 1994. Prof. Nicholson specialises in the broad area of Artificial Intelligence, a sub-discipline of computer science. She is a leading international researcher in the specialised area of Bayesian networks, now the dominant technology for probabilistic causal modelling in intelligent systems. She has published more than 100 peer reviewed papers, co-authored the well-received book "Bayesian Artificial Intelligence", and attracted more than $8M in research funding. She has applied Bayesian Network technology to problem-solving in many domains including meteorology, epidemiology, medicine, education and environmental science. Examples include the use of BNs in biosecurity risk assessment, predicting the impact of conservation actions on threats and habitats of threatened species, fog forecasting and decision support for clinical cardiovascular risk assessment.



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Monash University Caulfield Campus

MADA Building G, Level 1, Lecture theatre 4

900 Dandenong Road

Caulfield East, VIC 3145

Australia

View Map

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