Automated Decision Making (ADM) or Data Driven Inferencing (DDI) may include traditional rule-based systems, algorithms or ‘more specialised systems which use automated tools to predict and deliberate, including through the use of machine learning.’4 Training data sets guide the automated systems to ‘learn’ to apply the data they analyse to come to a decision.5 But training data ‘can be susceptible to subconscious cultural biases’6 especially if developers and designers do not intentionally incorporate diverse perspectives.7 Large scale Artificial Intelligence (AI) systems are ‘developed almost exclusively in a handful of technology companies and a small set of elite university laboratories, spaces that in the West tend to be disproportionately white, affluent, technically oriented, and male.’8 This risks perpetuating biases and discriminatory outcomes9 , raising broader questions about transparency, accountability and systemic disadvantage.
|Number of pages||6|
|Journal||Journal for the Australian and New Zealand Societies for Computers and the Law|
|Publication status||Published - 7 Feb 2021|
- Automated Decision
- Discrimination Law