U izvješću Agencije Europske unije za temeljna prava o umjetnoj inteligenciji i temeljnim pravima navode se konkretni primjeri načina na koji poduzeća i javne uprave u EU-u upotrebljavaju ili pokušavaju upotrebljavati umjetnu inteligenciju. Usmjereno je na četiri ključna područja: socijalne naknade, prognostički rad policije, zdravstvene usluge i ciljano reklamiranje. U izvješću se razmatraju moguće implikacije za temeljna prava i analizira način na koji se ta prava uzimaju u obzir pri upotrebi ili razvoju aplikacija umjetne inteligencije.
This opinion illustrates the extent and nature of lived experiences of inequality and discrimination across the EU. It does so with reference to the grounds of discrimination and areas of life covered by the racial and employment equality directives, as well as in relation to the grounds and areas covered by the proposed Equal Treatment Directive.
Business activity affects not just customers, employees, and contractors along supply chains, but often entire communities and the environment. This makes it vital that every business complies with human rights. This comparative report looks at the realities victims face when they seek redress for business-related human rights abuses. It presents the findings of fieldwork research on the views of professionals regarding the different ways people can pursue complaints. The findings highlight that obstacles to achieving justice are often multi-layered.
This paper presents people’s concerns and experiences relating to security. It covers worry about crime, including terrorism and online fraud; experience of online fraud; experience of cyberharassment; and concern about illegal access to data.
This document presents data from the FRA Fundamental Rights Survey. It includes data on opinions and experiences of people in the European Union (EU) linked to data protection and technology.
Facial recognition technology (FRT) makes it possible to compare digital facial images to determine whether they are of the same person. Comparing footage obtained from video cameras (CCTV) with images in databases is referred to as ‘live facial recognition technology’. Examples of national law enforcement authorities in the EU using such technology are sparse – but several are testing its potential. This paper therefore looks at the fundamental rights implications of relying on live FRT, focusing on its use for law enforcement and border-management purposes.
Algorithms used in machine learning systems and artificial intelligence (AI) can only be as good as the data used for their development. High quality data are essential for high quality algorithms. Yet, the call for high quality data in discussions around AI often remains without any further specifications and guidance as to what this actually means.
This guide explains what profiling is, the legal frameworks that regulate it, and why conducting profiling lawfully is both necessary to comply with fundamental rights and crucial for effective policing and border management. The guide also provides practical guidance on how to avoid unlawful profiling in police and border management operations.
We live in a world of big data, where technological developments in the area of machine learning and artificial intelligence have changed the way we live. Decisions and processes concerning everyday life are increasingly automated, based on data. This affects fundamental rights in various ways. This focus paper specifically deals with discrimination, a fundamental rights area particularly affected by technological developments.