Algorithmic limitations framework for cross-disciplinary algorithm design

The goal of this research is to develop a framework for identifying the inherent limitations of any automated decision-making process, by building on existing work from literature such that the identified limitations can be addressed early in the cross-discipline algorithm design process. This provides additional support to cross-discipline study when addressing the ethical, societal, and legal implications of the given automated decision-making system, which also carries through improving the support for addressing the contestability and accountability for the given automated decision-making system as well.

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  Aidan McLoughney

  PhD Candidate

  Faculty of Engineering and Information Technology

  University of Melbourne