PROJECT SUMMARY

People walking in the city

A taxonomy of decision-making machines

Focus Area(s): News and Media, Health, Social Services, Transport and Mobilities
Research Program: Machines

To date, no research exists that classifies the growing diversity of automated decision-making (ADM) machines or describes the relations between them. Instead, ADM systems are typically examined as distinct technologies in isolation from each other.

The project draws on the expertise within the Centre, together with published material, to develop an innovative three-dimensional taxonomy. It provides a categorisation of ADM that will support work across the Centre.

RESEARCHERS

ADM+S Chief Investigator Paul Henman

Prof Paul Henman

Lead Investigator

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ADM+S Chief Investigator Dan Hunter

Prof Dan Hunter

Chief Investigator

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ADM+S Chief Investigator Christopher Leckie

Prof Christopher Leckie

Chief Investigator

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator

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Julian Thomas

Prof Julian Thomas

Chief Investigator

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Jeffrey Chan

Dr Jeffrey Chan

Associate Investigator

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ADM+S Investigator Philip Gillingham

Dr Philip Gillingham

Associate Investigator

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ADM+S Associate Investigator Jake Goldenfein

Dr Jake Goldenfein

Associate Investigator

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ADM+S Investigator Flora Salim

Prof Flora Salem

Associate Investigator

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PARTNERS

AlgorithmWatch logo

AlgorithmWatch is a non-profit research and advocacy organization that is committed to watch, unpack and analyze automated decision-making (ADM) systems and their impact on society.

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Data and Society logo

Data & Society is an independent nonprofit research organization, studying the social implications of data and automation, and producing original research to ground informed, evidence-based public debate about emerging technology.

Visit Data & Society