Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

PROFILE

Financiado

Cerrado

How should automated profiling be regulated?

Profiling may threaten values that the law aims to protect, and undermine goals that the law aims to achieve. Profiling involves automated processing of personal or other data to develop profiles that can be used to make decisions... ver más

31/12/2019

VUB

173K€

Presupuesto del proyecto: 173K€

Líder del proyecto

VRIJE UNIVERSITEIT BRUSSEL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-12-31

MSCA-IF-2016: Individual Fellowships

I+D

Cerrada hace 8 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

VUB

172.80K€ | Lider

Proyectos interesantes

DATAFACE

Cybersecurity

Artificial Inte...

267K€ Cerrado

personAlg

Data Science

Cybersecurity

2M€ Cerrado

VIDEOSENSE

Data Science

Cybersecurity

7M€ Cerrado

DIGIDEAS

Cybersecurity

Data Science

2M€ Cerrado

PriMa

Cybersecurity

Data Science

4M€ Cerrado

PID2019-111429RB-C22

Cybersecurity

Data Science

55K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 33 meses Fecha Inicio: 2017-03-30
Fecha Fin: 2019-12-31

Líder del proyecto

VRIJE UNIVERSITEIT BRUSSEL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 173K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Profiling may threaten values that the law aims to protect, and undermine goals that the law aims to achieve. Profiling involves automated processing of personal or other data to develop profiles that can be used to make decisions about people. Profiling can be used in different contexts. For instance, (i) with retail price discrimination, online shops charge different consumers different prices for the same or similar products. (ii) Lenders use profiling to estimate a consumer’s creditworthiness. Lenders can adapt interest rates to certain consumers, or refuse to lend to them. (iii) Predictive policing refers to the use of profiling technology to predict criminal behaviour.However, profiling has drawbacks. For instance, profiling can discriminate unintentionally, when an algorithm learns from data reflecting biased human decisions. Additionally, profiling is opaque: people may not know why they are treated differently. Making profiling transparent is difficult, among other reasons because of the complexity and the possibly ever-changing nature of algorithms. The project’s overarching research question is: considering the rationales for the rules in different sectors, is additional regulation needed, and if so: how should profiling be regulated? The project aims to develop guidelines for regulating profiling. I examine profiling in three sectors: retail price discrimination, consumer credit, and predictive policing. For each case study, I analyse current rules that apply to profiling. Next, I analyse these rules’ rationales, which are partly different for each sector. A rule may, for example, aim to protect a human right, or express a legal principle, such as equality, contractual freedom, or the right to a fair trial. Rules may also have economic rationales, which are different for each sector. Drawing from the three case studies, I develop guidelines to regulate profiling. Policymakers, NGOs, and other stakeholders expressed great interest in the results.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores