This project develops a model for providing accountability for 'dark ads' on Australia’s most popular social media platform, Facebook. By showing what accountability looks like, the research reminds us just how dramatically the online advertising environment has shifted.
The Algorithmic Impact Assessment (AIA) is a new concept for regulating algorithmic systems and protecting the public interest. This report maps the challenges of constructing AIAs and provides a framework for evaluating the effectiveness of current and proposed AIA regimes.
This report argues that policy-makers must build robust data protections that empower workers, not just consumers, and also broaden their understanding of algorithmic harms beyond bias and discrimination.
This report identifies three major digital barriers to economic justice arising from the COVID-19 pandemic—the collapse of benefits automation, expanded workplace and school surveillance, and the digital profiling of economic distress. The report uses a data justice framework to suggest how policy-makers might mitigate the...
This review focused on the use of algorithms in significant decisions about individuals. The review looks at the use of algorithmic decision-making in four sectors (policing, local government, financial services and recruitment) and makes cross-cutting recommendations that aim to help build the right systems so...
This report explores how the problem of algorithmic bias can arise in decision making that uses artificial intelligence (AI). This problem can produce unfair and potentially unlawful decisions.
The coronavirus pandemic is the most significant crisis governments have faced in generations. Digital technology has helped the UK government to manage many of the issues, and has enabled a more effective response than would have been otherwise possible. This report assesses the factors that...
China’s central bank digital currency, known as ‘DC/EP’ (digital currency/electronic payment), is rapidly progressing and, if successful, will have major international implications that have not yet been widely considered by policymakers.
Automated decision-making systems make decisions about our lives, and those with low-socioeconomic status often bear the brunt of the harms these decisions cause. This guide explains automated decision-making systems so lawyers can better identify the source of their clients' problems and advocate on their behalf.
This Charter is a commitment by government agencies to carefully manage how algorithms will be used to strike the right balance between privacy and transparency, prevent unintended bias and reflect the principles of the Treaty of Waitangi.