Publications tagged with "European union"

1. Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI

   Campanile, L., De Fazio, R., Di Giovanni, M., & Marulli, F. (2024). Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI [Conference paper]. CEUR Workshop Proceedings, 3762, 60–65. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205601768&partnerID=40&md5=99140624de79e37b370ed4cf816c24e7

   Abstract

   Artificial Intelligence (AI) is a fast-changing technology that is having a profound impact on our society, from education to industry. Its applications cover a wide range of areas, such as medicine, military, engineering and research. The emergence of AI and Generative AI have significant potential to transform society, but they also raise concerns about transparency, privacy, ownership, fair use, reliability, and ethical considerations. The Generative AI adds complexity to the existing problems of AI due to its ability to create machine-generated data that is barely distinguishable from human-generated data. Bringing to the forefront the issue of responsible and fair use of AI. The security, safety and privacy implications are enormous, and the risks associated with inappropriate use of these technologies are real. Although some governments, such as the European Union and the United States, have begun to address the problem with recommendations and proposed regulations, it is probably not enough. Regulatory compliance should be seen as a starting point in a continuous process of improving the ethical procedures and privacy risk assessment of AI systems. The need to have a baseline to manage the process of creating an AI system even from an ethics and privacy perspective becomes progressively more important In this study, we discuss the ethical implications of these advances and propose a conceptual framework for the responsible, fair, and safe use of AI. © 2024 Copyright for this paper by its authors.

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   {"key"=>"Campanile202460", "type"=>"Conference paper", "bibtex"=>"@conference{Campanile202460,\n  author = {Campanile, Lelio and De Fazio, Roberta and Di Giovanni, Michele and Marulli, Fiammetta},\n  title = {Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI},\n  year = {2024},\n  journal = {CEUR Workshop Proceedings},\n  volume = {3762},\n  pages = {60 – 65}\n}\n", "author"=>"Campanile, Lelio and De Fazio, Roberta and Di Giovanni, Michele and Marulli, Fiammetta", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Roberta", "last"=>"De Fazio", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Di Giovanni", "prefix"=>"", "suffix"=>""}, {"first"=>"Fiammetta", "last"=>"Marulli", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Roberta", "author_1_last"=>"De Fazio", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Michele", "author_2_last"=>"Di Giovanni", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Fiammetta", "author_3_last"=>"Marulli", "author_3_prefix"=>"", "author_3_suffix"=>"", "title"=>"Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI", "year"=>"2024", "journal"=>"CEUR Workshop Proceedings", "volume"=>"3762", "pages"=>"60 – 65", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205601768&partnerID=40&md5=99140624de79e37b370ed4cf816c24e7", "abstract"=>"Artificial Intelligence (AI) is a fast-changing technology that is having a profound impact on our society, from education to industry. Its applications cover a wide range of areas, such as medicine, military, engineering and research. The emergence of AI and Generative AI have significant potential to transform society, but they also raise concerns about transparency, privacy, ownership, fair use, reliability, and ethical considerations. The Generative AI adds complexity to the existing problems of AI due to its ability to create machine-generated data that is barely distinguishable from human-generated data. Bringing to the forefront the issue of responsible and fair use of AI. The security, safety and privacy implications are enormous, and the risks associated with inappropriate use of these technologies are real. Although some governments, such as the European Union and the United States, have begun to address the problem with recommendations and proposed regulations, it is probably not enough. Regulatory compliance should be seen as a starting point in a continuous process of improving the ethical procedures and privacy risk assessment of AI systems. The need to have a baseline to manage the process of creating an AI system even from an ethics and privacy perspective becomes progressively more important In this study, we discuss the ethical implications of these advances and propose a conceptual framework for the responsible, fair, and safe use of AI. © 2024 Copyright for this paper by its authors.", "author_keywords"=>"Artificial Intelligence; Ethical AI; Generative AI; Large Language Models", "keywords"=>"Generative adversarial networks; Artificial intelligence systems; Ethical artificial intelligence; Ethical considerations; European union; Existing problems; Fair use; Generative artificial intelligence; ITS applications; Language model; Large language model; Differential privacy", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 2"}
       

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2. Designing a GDPR compliant blockchain-based IoV distributed information tracking system

   Campanile, L., Iacono, M., Marulli, F., & Mastroianni, M. (2021). Designing a GDPR compliant blockchain-based IoV distributed information tracking system [Article]. Information Processing and Management, 58(3). https://doi.org/10.1016/j.ipm.2021.102511

   Abstract

   Blockchain technologies and distributed ledgers enable the design and implementation of trustable data logging systems that can be used by multiple parties to produce a non-repudiable database. The case of Internet of Vehicles may greatly benefit of such a possibility to track the chain of responsibility in case of accidents or damages due to bad or omitted maintenance, improving the safety of circulation and helping granting a correct handling of related legal issues. However, there are privacy issues that have to be considered, as tracked information potentially include data about private persons (position, personal habits), commercially relevant information (state of the fleet of a company, freight movement and related planning, logistic strategies), or even more critical knowledge (e.g., considering vehicles belonging to police, public authorities, governments or officers in sensible positions). In the European Union, all this information is covered by the General Data Protection Regulation (GDPR). In this paper we propose a reference model for a system that manages relevant information to show how blockchain can support GDPR compliant solutions for Internet of Vehicles, taking as a reference an integrated scenario based on Italy, and analyze a subset of its use cases to show its viability with reference to privacy issues. © 2021 Elsevier Ltd

   DOI Publisher Details Copy BibTeX Download .bib

   {"key"=>"Campanile2021", "type"=>"Article", "bibtex"=>"@article{Campanile2021,\n  author = {Campanile, Lelio and Iacono, Mauro and Marulli, Fiammetta and Mastroianni, Michele},\n  title = {Designing a GDPR compliant blockchain-based IoV distributed information tracking system},\n  year = {2021},\n  journal = {Information Processing and Management},\n  volume = {58},\n  number = {3},\n  doi = {10.1016/j.ipm.2021.102511}\n}\n", "author"=>"Campanile, Lelio and Iacono, Mauro and Marulli, Fiammetta and Mastroianni, Michele", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}, {"first"=>"Fiammetta", "last"=>"Marulli", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Mastroianni", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Mauro", "author_1_last"=>"Iacono", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Fiammetta", "author_2_last"=>"Marulli", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Michele", "author_3_last"=>"Mastroianni", "author_3_prefix"=>"", "author_3_suffix"=>"", "title"=>"Designing a GDPR compliant blockchain-based IoV distributed information tracking system", "year"=>"2021", "journal"=>"Information Processing and Management", "volume"=>"58", "number"=>"3", "doi"=>"10.1016/j.ipm.2021.102511", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099496929&doi=10.1016%2fj.ipm.2021.102511&partnerID=40&md5=83a5e19e91b864d0a78b2bb6924d6254", "abstract"=>"Blockchain technologies and distributed ledgers enable the design and implementation of trustable data logging systems that can be used by multiple parties to produce a non-repudiable database. The case of Internet of Vehicles may greatly benefit of such a possibility to track the chain of responsibility in case of accidents or damages due to bad or omitted maintenance, improving the safety of circulation and helping granting a correct handling of related legal issues. However, there are privacy issues that have to be considered, as tracked information potentially include data about private persons (position, personal habits), commercially relevant information (state of the fleet of a company, freight movement and related planning, logistic strategies), or even more critical knowledge (e.g., considering vehicles belonging to police, public authorities, governments or officers in sensible positions). In the European Union, all this information is covered by the General Data Protection Regulation (GDPR). In this paper we propose a reference model for a system that manages relevant information to show how blockchain can support GDPR compliant solutions for Internet of Vehicles, taking as a reference an integrated scenario based on Italy, and analyze a subset of its use cases to show its viability with reference to privacy issues. © 2021 Elsevier Ltd", "author_keywords"=>"Blockchain; DPIA; EU regulation; GDPR; Internet of Vehicles; Interoperability; Italian regulation; Privacy by design; Risk assessment", "keywords"=>"Accidents; Blockchain; Fleet operations; Laws and legislation; Tracking (position); Vehicle to vehicle communications; Vehicles; Data logging systems; Design and implementations; Distributed information; European union; Freight movement; General data protection regulations; Public authorities; Reference modeling; Privacy by design", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 74"}
       

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