How should automated profiling be regulated?

Información del proyecto

PROFILE

Identificador del acuerdo de subvención: 748514

DOI

10.3030/748514

Proyecto finalizado el 15 Febrero 2019

Fecha de la firma de la CE 30 Marzo 2017

Fecha de inicio 1 Enero 2018

Fecha de finalización 31 Diciembre 2019

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 172 800,00

Aportación de la UE

€ 172 800,00

Coordinado por

VRIJE UNIVERSITEIT BRUSSEL
Belgium

Periodic Reporting for period 1 - PROFILE (How should automated profiling be regulated?)

Período documentado: 2018-01-01 hasta 2019-12-31

Resumen del contexto y de los objetivos generales del proyecto

Profiling is a type of algorithmic decision-making that involves automated processing of personal or other data to develop profiles that can be used to make decisions about people. Some companies use thousands of data points to take automated and opaque decisions: online shops can sell the same good to different consumers for different prices. Lenders can set interest rates for individual consumers, or refuse to lend to them. Insurers can adjust premiums to individual consumers, or deny them insurance.

Profiling advances important goals, such as efficiency and economic growth. But profiling may threaten values the law aims to protect, and goals it aims to achieve. For instance, profiling can lead to unfair or even illegal discrimination. This project examines profile-based price and service differentiation. Current law regarding profiling is unclear and may fail to protect important values.

The overarching research question for the project is: to protect human rights, while considering the particularities of different sectors, should the law be amended because of automated profiling, and if so: how?

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

The researcher has analysed the application of discrimination law to automated profiling and online price discrimination. He has also analysed literature on automated decision-making, profiling, machine learning, and artificial intelligence. The researcher has presented and discussed his research at international conferences, for instance in Oxford, Washington, and Beijing. He has published several papers based on the research. See:
https://www.ivir.nl/employee/zuiderveen-borgesius/
https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1896949
https://twitter.com/FBorgesius

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

The project aims to develop principles for policymakers to regulate profile-based price and service differentiation.

Picture-Frederik-Zuiderveen-Borgesius