BETA

Activities of Laura FERRARA related to 2020/2016(INI)

Plenary speeches (1)

Artificial intelligence in criminal law and its use by the police and judicial authorities in criminal matters (debate)
2021/10/04
Dossiers: 2020/2016(INI)

Amendments (7)

Amendment 5 #
Motion for a resolution
Citation 4 a (new)
- having regard to the 'European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and their environment', adopted by the European Commission for the Efficiency of Justice (CEPEJ) of the Council of Europe on 3 December 20181 a, _________________ 1a https://rm.coe.int/ethical-charter-en- for-publication-4-december- 2018/16808f699c
2020/07/20
Committee: LIBE
Amendment 30 #
Motion for a resolution
Recital B a (new)
Ba. whereas the European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and their environment, adopted by the European Commission for the Efficiency of Justice (CEPEJ) of the Council of Europe, lays down some fundamental guidelines to which public and private entities responsible for the design and development of AI tools and services should adhere; whereas, in particular, the Ethical Charter consists of the following principles: 1) principle of respect for fundamental rights; 2) principle of non- discrimination; 3) principle of quality and security; 4) principle of transparency, impartiality and fairness; 5) principle 'under user control';
2020/07/20
Committee: LIBE
Amendment 53 #
Motion for a resolution
Recital G
G. whereas the use of AI applications in use by law enforcement includconnection with law enforcement is already a reality and is expected to grow and intensify, at various levels, over the coming years; whereas law enforcement authorities in various Member States already make extensive use of those technologies; whereas these applications such asinclude facial recognition technologies,and biometric identification software, analysis software and videos and images, including automated number plate recognition, speakerech identification, speech identification technologies, lip- reading technologies, aural surveillance (i.e. gunshot detection algorithms), autonomous research and analysis of identified databases, forecasting (predictive policing and crime hotspot analytics), behaviour detection tools, autonomous tools to identify financial fraud and terrorist financing, social media monitoring (scraping and data harvesting for mining connections), international mobile subscriber identity (IMSI) catchers, and automated surveillance systems incorporating different detection capabilities (such as heartbeat detection and thermal cameras); whereas the aforementioned applications have vastly varying degrees of reliability and accuracy;
2020/07/20
Committee: LIBE
Amendment 89 #
Motion for a resolution
Paragraph 2
2. Reaffirms that all AI solutions for law enforcement and the judiciary also need to fully respect the principles of non- discrimination, freedom of movement, the presumption of innocence and right of defence, freedom of expression and information, freedom of assembly and of association, equality before the law, and the right to an effective remedy and a fair trial, in addition to addressing any ethical and professional conduct-related issues stemming from a possible disengagement of judicial bodies;
2020/07/20
Committee: LIBE
Amendment 91 #
Motion for a resolution
Paragraph 2
2. Reaffirms that all AI solutions for law enforcement and the judiciary also need to fully respect the principles of non- discrimination, freedom of movement, the presumption of innocence and right of defence, freedom of expression and information, freedom of assembly and of association, equality before the law, and the right to an effective remedy and a fair trial, in addition to taking into account the principle of the rehabilitative role of the penalty;
2020/07/20
Committee: LIBE
Amendment 122 #
Motion for a resolution
Paragraph 5
5. Stresses the potential for bias and discrimination arising from the use of machine learning and AI applications; notes that biases can be inherent in underlying datasets, especially when historical data is being used, introduced by the developers of the algorithms, or generated when the systems are implemented in real world settings; points out that the result provided by AI applications is necessarily influenced by the quality of the data used by the applications themselves, and calls for the introduction of mechanisms to ensure the quality of the data, the independence of their source, the independence of the authority collecting them and the accessibility of all data used by AI applications;
2020/07/20
Committee: LIBE
Amendment 155 #
Motion for a resolution
Paragraph 10
10. Underlines that in judicial and law enforcement contexts, the final decision always needs to be taken by a human, who can be held accountable for the decisions made, and include the possibility of a recourse for a remedy; refers, in this regard, to Article 22 of the General Data Protection Regulation which stipulates that a person has the right not to be subject to a decision which produces legal effects concerning him or her or significantly affects him or her and is based solely on automated data processing designed to evaluate certain aspects of that person's personality;
2020/07/20
Committee: LIBE