Executive & Specialist Programmes
Tax Equity, Gender and Algorithms
A neutral-looking tax can fall hardest on the poorest household, and an algorithm can entrench that outcome behind a claim of objectivity. We teach officials to measure who really pays and to govern the systems that now decide.
Programme overview
A neutral-looking tax can fall hardest on the poorest household, and an algorithm can entrench that outcome behind a claim of objectivity. We teach officials to measure who really pays and to govern the systems that now decide.
Who should attend
Tax policy and social protection units, digital government teams, equality and oversight bodies, revenue authorities deploying automated systems.
Programme modules
Module spine
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01
Incidence modelling: who bears a tax once it has shifted, and how to demonstrate it
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02
Microsimulating a reform across households and firms before it is adopted
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03
Gendered incidence, unpaid care and the fiscal treatment of women in informal trade
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04
Interrogating an algorithmic system: inputs, proxies, training data and disparate outcomes
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05
Explainability, human review and liability when an automated decision causes harm
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06
Capstone: a fairness and accountability framework for an automated revenue or welfare system
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