THE IMPACT OF GDPR ON FORENSIC IDENTIFICATION TECHNOLOGIES BASED ON ARTIFICIAL INTELLIGENCE FOR FACIAL RECOGNITION, FINGERPRINTS AND DNA PROFILES COMPARISON IN MODERN INVESTIGATIONS.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	THE IMPACT OF GDPR ON FORENSIC IDENTIFICATION TECHNOLOGIES BASED ON ARTIFICIAL INTELLIGENCE FOR FACIAL RECOGNITION, FINGERPRINTS AND DNA PROFILES COMPARISON IN MODERN INVESTIGATIONS.
Συγγραφείς:	ENE-DINU, Cornelia Beatrice Gabriela
Πηγή:	Romanian Journal of Forensic Science; Mar2025, Vol. 26 Issue 141, p35-43, 9p
Θεματικοί όροι:	Data protection, Criminal investigation, Artificial intelligence
Περίληψη:	The purpose of this article is to analyze the impact of the General Data Protection Regulation (GDPR) on the use of modern forensic identification technologies based on artificial intelligence for facial recognition, fingerprints and DNA profiles comparison in the context of criminal investigations. The article examines how GDPR regulations influence the processing of biometric data, highlighting the legal, ethical, and operational challenges associated with these technologies. The study explores the fundamental principles of GDPR, including legality, transparency, and data minimization, critically analyzing how these rules restrict or permit the use of biometric data in criminal investigations. It also addresses the exemptions provided by GDPR, particularly Article 9 concerning the processing of sensitive data and Article 23, which allows for the limitation of certain rights to protect national security and prevent serious crimes. The research method employed involves a doctrinal analysis of GDPR regulations, relevant case studies (both international and Romanian), and the jurisprudence of the Court of Justice of the European Union. The article explores specific challenges related to facial recognition, DNA data storage, and the risks of algorithmic discrimination, emphasizing the conflicts between privacy protection and public security needs. The conclusions highlight the necessity of balancing security and fundamental rights, recommending best practices for the use of identification technologies under the GDPR framework. The article underscores the importance of conducting Data Protection Impact Assessments (DPIAs) and fostering collaboration between data protection authorities and law enforcement agencies to ensure the safeguarding of privacy and fundamental freedoms in the digital era. [ABSTRACT FROM AUTHOR]
	Copyright of Romanian Journal of Forensic Science is the property of Romanian Forensic Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων:	Complementary Index

FullText	Text: Availability: 0
Header	DbId: edb DbLabel: Complementary Index An: 184779440 RelevancyScore: 984 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 983.700317382813
IllustrationInfo
Items	– Name: Title Label: Title Group: Ti Data: THE IMPACT OF GDPR ON FORENSIC IDENTIFICATION TECHNOLOGIES BASED ON ARTIFICIAL INTELLIGENCE FOR FACIAL RECOGNITION, FINGERPRINTS AND DNA PROFILES COMPARISON IN MODERN INVESTIGATIONS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ENE-DINU%2C+Cornelia+Beatrice+Gabriela%22">ENE-DINU, Cornelia Beatrice Gabriela</searchLink> – Name: TitleSource Label: Source Group: Src Data: Romanian Journal of Forensic Science; Mar2025, Vol. 26 Issue 141, p35-43, 9p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Data+protection%22">Data protection</searchLink><br /><searchLink fieldCode="DE" term="%22Criminal+investigation%22">Criminal investigation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purpose of this article is to analyze the impact of the General Data Protection Regulation (GDPR) on the use of modern forensic identification technologies based on artificial intelligence for facial recognition, fingerprints and DNA profiles comparison in the context of criminal investigations. The article examines how GDPR regulations influence the processing of biometric data, highlighting the legal, ethical, and operational challenges associated with these technologies. The study explores the fundamental principles of GDPR, including legality, transparency, and data minimization, critically analyzing how these rules restrict or permit the use of biometric data in criminal investigations. It also addresses the exemptions provided by GDPR, particularly Article 9 concerning the processing of sensitive data and Article 23, which allows for the limitation of certain rights to protect national security and prevent serious crimes. The research method employed involves a doctrinal analysis of GDPR regulations, relevant case studies (both international and Romanian), and the jurisprudence of the Court of Justice of the European Union. The article explores specific challenges related to facial recognition, DNA data storage, and the risks of algorithmic discrimination, emphasizing the conflicts between privacy protection and public security needs. The conclusions highlight the necessity of balancing security and fundamental rights, recommending best practices for the use of identification technologies under the GDPR framework. The article underscores the importance of conducting Data Protection Impact Assessments (DPIAs) and fostering collaboration between data protection authorities and law enforcement agencies to ensure the safeguarding of privacy and fundamental freedoms in the digital era. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Romanian Journal of Forensic Science is the property of Romanian Forensic Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink	https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=184779440
RecordInfo	BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 35 Subjects: – SubjectFull: Data protection Type: general – SubjectFull: Criminal investigation Type: general – SubjectFull: Artificial intelligence Type: general Titles: – TitleFull: THE IMPACT OF GDPR ON FORENSIC IDENTIFICATION TECHNOLOGIES BASED ON ARTIFICIAL INTELLIGENCE FOR FACIAL RECOGNITION, FINGERPRINTS AND DNA PROFILES COMPARISON IN MODERN INVESTIGATIONS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ENE-DINU, Cornelia Beatrice Gabriela IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20692617 Numbering: – Type: volume Value: 26 – Type: issue Value: 141 Titles: – TitleFull: Romanian Journal of Forensic Science Type: main
ResultId	1