ADM+S Centre biography

Read more about Paul Henman in the ADM+S Centre.

Researcher biography

Paul is Professor of Digital Sociology and Social Policy. He is a Chief Investigator of the Australian Research Council Centre of Excellence for Automated Decision Making and Society (ADM+S), and Lead of the Social Services Focus Area in the Centre. Having degrees in sociology/social policy and computer science, and having worked in the public service, Paul has a unique insight into the intersection of digital technologies and their social implications.

For over 20 years, Paul's research has focused in the development, design, deployment and evaluation of digital technology, automated decision making and Artificial Intelligence (AI) in government and social services. Taking a multi-disciplinaray perspective, he explores the implications of automation and AI on policy, service delivery, service users and citizenship, governance and practices of power. His work considers the ethical, legal, social and pratical considerations of AI and automation.

Paul's research is regarded as influential in the development of Digital Welfare State and Digital Social Policy literatures. Past publications include Governing Electronically (Palgrave 2010), Performing the State (Routledge 2018), and Adminstering Welfare Reform (Policy, 2006). He is currently finalising Digital Government in an Age of Disruption with Professor John Halligan, which takes an international comparative, institutionalist approach.

His current research focus is on using critical social science to inform the development of practical digital and AI tools to advance pro-social outcomes,

  • Data navigation for lawyers. Working with Economic Justice Australia and welfare rights community legal centres, Paul is working with colleagues to co-design and produce a data extraction and navigation tool. This tool will assist lawyers to better provide legal advice and support to clients who are contesting decisions by the Australian government's Services Australia and Centrelink.
  • Trauma Informed Algorithmic Assessment Toolkit. Working with human service delivery agenies, this project is piloting a practical, online Toolkit to enable organisations to design and deploy AI and algorithmic enable services that is safe, responsible and avoids causing harm.

Areas of research