How to Do It Right: A Framework for Biometrics Supported Border Control
- URL: http://arxiv.org/abs/2201.03407v1
- Date: Mon, 10 Jan 2022 15:42:10 GMT
- Title: How to Do It Right: A Framework for Biometrics Supported Border Control
- Authors: Mohamed Abomhara, Sule Yildirim Yayilgan, Anne Hilde Nymoen, Marina
Shalaginova, Zoltan Szekely, Ogerta Elezaj
- Abstract summary: This paper discusses various ethical, social and legal challenges arising due to the use of biometrics technology in border control.
The framework is expected to meet the emergent need for supplying interoperability among multiple information systems used for border control.
- Score: 0.606774803674722
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Complying with the European Union (EU) perspective on human rights goes or
should go together with handling ethical, social and legal challenges arising
due to the use of biometrics technology as border control technology. While
there is no doubt that the biometrics technology at European borders is a
valuable element of border control systems, these technologies lead to issues
of fundamental rights and personal privacy, among others. This paper discusses
various ethical, social and legal challenges arising due to the use of
biometrics technology in border control. First, a set of specific challenges
and values affected were identified and then, generic considerations related to
mitigation of these issues within a framework is provided. The framework is
expected to meet the emergent need for supplying interoperability among
multiple information systems used for border control.
Related papers
- Open Problems in Technical AI Governance [93.89102632003996]
Technical AI governance refers to technical analysis and tools for supporting the effective governance of AI.
This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.
arXiv Detail & Related papers (2024-07-20T21:13:56Z) - Analysis of Blockchain Integration in the e-Healthcare Ecosystem [0.0]
This article studies the most commonly adopted approaches in healthcare data management systems using blockchain technology.
An evaluation is conducted based on a set of observed common characteristics, distinguishing one approach from the others.
For effective implementation in the context of e-health, we emphasize the existence of crucial challenges.
arXiv Detail & Related papers (2024-01-08T12:19:53Z) - Biometric Technologies and the Law: Developing a Taxonomy for Guiding
Policymakers [0.0]
This study proposes a taxonomy of biometric technologies that can aid in their effective deployment and supervision.
The resulting taxonomy can enhance the understanding of biometric technologies and facilitate the development of regulation that prioritises privacy and personal data protection.
arXiv Detail & Related papers (2023-10-27T10:23:46Z) - The Design and Implementation of a National AI Platform for Public
Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
The Italian National Health Service is adopting Artificial Intelligence through its technical agencies.
Such a vast programme requires special care in formalising the knowledge domain.
Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
arXiv Detail & Related papers (2023-04-24T08:00:02Z) - Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in
Policy Design Analysis [52.77024349608834]
This paper presents a prototype developed to serve the quantitative study of public policy design.
Our system aims to automate the process of gathering legal documents, annotating them with Institutional Grammar, and using hypergraphs to analyse inter-relations between crucial entities.
arXiv Detail & Related papers (2022-09-02T10:57:47Z) - Automated Compliance Blueprint Optimization with Artificial Intelligence [1.90073733366566]
In banking and healthcare, one of the major hindrances to the adoption of cloud computing is compliance with regulatory standards.
This is a complex problem due to many regulatory and technical specification (techspec) documents that the companies need to comply with.
We present early results to identify the mapping between techspecs and regulation controls, and discuss challenges that must be overcome for this solution to be fully practical.
arXiv Detail & Related papers (2022-06-22T15:59:16Z) - An Overview of Privacy-enhancing Technologies in Biometric Recognition [12.554656658516262]
This work provides an overview of concepts of privacy-enhancing technologies for biometrics in a unified framework.
Fundamental properties and limitations of existing approaches are discussed and related to data protection techniques and principles.
This paper is meant as a point of entry to the field of biometric data protection and is directed towards experienced researchers as well as non-experts.
arXiv Detail & Related papers (2022-06-21T15:21:29Z) - Quality Measures in Biometric Systems [67.6699940572256]
Quality is a critical issue in security, especially in adverse scenarios involving surveillance cameras, forensics, portable devices, or remote access through the Internet.
This article analyzes what factors negatively impact biometric quality, how to overcome them, and how to incorporate quality measures into biometric systems.
arXiv Detail & Related papers (2021-11-17T13:28:07Z) - Demographic Fairness in Biometric Systems: What do the Experts say? [16.72651695033691]
Algorithmic decision systems have been labelled as "biased", "racist", "sexist", or "unfair"
There is an ongoing debate about whether such assessments are justified and whether citizens and policymakers should be concerned.
Recently, the European Association for Biometrics organised an event series with "demographic fairness in biometric systems" as an overarching theme.
arXiv Detail & Related papers (2021-05-31T09:58:51Z) - Biometrics: Trust, but Verify [49.9641823975828]
Biometric recognition has exploded into a plethora of different applications around the globe.
There are a number of outstanding problems and concerns pertaining to the various sub-modules of biometric recognition systems.
arXiv Detail & Related papers (2021-05-14T03:07:25Z) - The Visual Social Distancing Problem [99.69094590087408]
We introduce the Visual Social Distancing problem, defined as the automatic estimation of the inter-personal distance from an image.
We discuss how VSD relates with previous literature in Social Signal Processing and indicate which existing Computer Vision methods can be used to manage such problem.
arXiv Detail & Related papers (2020-05-11T00:04:34Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.