Public bodies and agencies increasingly seek to use new forms of data analysis in order to
provide'better public services'. These reforms have consisted of digital service …

Algorithmic decision-making systems (ADMS) are increasingly being used by public and
private organizations to enact decisions traditionally made by human beings across a broad …

Governments are increasingly relying on algorithmic decision-making (ADM) to deliver
public services. Recent information systems literature has raised concerns regarding ADM's …

In this article, we focus on the growing evidence of unintended harmful societal effects of
automated algorithmic decision-making in transformative services (eg social welfare …

Background Artificial intelligence (AI) for use in health care and social services is rapidly
developing, but this has significant ethical, legal, and social implications. Theoretical and …

The mounting evidence of unintended harmful social consequences of automated
algorithmic decision-making (AADM), powered by AI and big data, in transformative services …

Use of semi-and fully automated, administrative decision-making in public administration is
increasing. Despite this increase, few studies have explicitly analysed its relation to good …

What do we know about the current realities of work and its likely futures? What choices
must we make and how will they affect those futures? Many books about the future of work …

Robodebt describes the automated process of matching the Australian Taxation Office's
income data with social welfare recipients' reports of income to Centrelink. Discrepancies …

Abstract 'Robodebt'is the label applied to an Australian government initiative designed to
increase recoveries of 'overpayments' made to social security recipients. Following …