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Begoña Gonzalez Otero, Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana?, 10 (2019) JIPITEC 65 para 1.
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%0 Journal Article %T Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana? %A Gonzalez Otero, Begoña %J JIPITEC %D 2019 %V 10 %N 1 %@ 2190-3387 %F gonzalez otero2019 %X On April 25, 2018, the European Commission (EC) published a series of communications related to data trading and artificial intelligence. One of them called “Towards a Common European Data Space”, came with a working document: “Guidance on Sharing Private Sector Data in the European Data Economy”. Both the Communication and the guidance introduce two different sets of general principles addressing data sharing, contractual best practices for business-to-business (B2B), and business-to-government (B2G) environments. On the same day, the EC also published a legislative proposal to review the Public Sector (PSI) Directive. These two simultaneous actions are part of a major package of measures, which aim to facilitate the creation of a common data space in the EU and foster European artificial intelligence development. This article focuses on the first action, the “Guidance on Sharing Private Sector Data in the European Economy”. First, because it is one of its kind. Second, although these principles do not qualify as soft law (lacking binding force but having legal effects) the Commission’s communications set action plans for future legislation. Third, because the ultimate goal of these principles is to boost European artificial intelligence (AI) development. However, do these principles set a viable legal framework for data sharing, or is this public policy tool merely a naïve expectation? Moreover, would these principles set a successful path toward a thriving European AI advancement? In this contribution, I try to sketch some answers to these and related questions. %L 340 %K Artificial intelligence %K best practices %K data access %K data re-use %K data sharing %K self-regulation %K standard contract terms %K the internet of things %U http://nbn-resolving.de/urn:nbn:de:0009-29-48788 %P 65-83Download
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@Article{gonzalezotero2019,
author = "Gonzalez Otero, Bego{\~{n}}a",
title = "Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana?",
journal = "JIPITEC",
year = "2019",
volume = "10",
number = "1",
pages = "65--83",
keywords = "Artificial intelligence; best practices; data access; data re-use; data sharing; self-regulation; standard contract terms; the internet of things",
abstract = "On April 25, 2018, the European Commission (EC) published a series of communications related to data trading and artificial intelligence. One of them called ``Towards a Common European Data Space'', came with a working document: ``Guidance on Sharing Private Sector Data in the European Data Economy''. Both the Communication and the guidance introduce two different sets of general principles addressing data sharing, contractual best practices for business-to-business (B2B), and business-to-government (B2G) environments. On the same day, the EC also published a legislative proposal to review the Public Sector (PSI) Directive. These two simultaneous actions are part of a major package of measures, which aim to facilitate the creation of a common data space in the EU and foster European artificial intelligence development. This article focuses on the first action, the ``Guidance on Sharing Private Sector Data in the European Economy''. First, because it is one of its kind. Second, although these principles do not qualify as soft law (lacking binding force but having legal effects) the Commission's communications set action plans for future legislation. Third, because the ultimate goal of these principles is to boost European artificial intelligence (AI) development. However, do these principles set a viable legal framework for data sharing, or is this public policy tool merely a na{\"i}ve expectation? Moreover, would these principles set a successful path toward a thriving European AI advancement? In this contribution, I try to sketch some answers to these and related questions.",
issn = "2190-3387",
url = "http://nbn-resolving.de/urn:nbn:de:0009-29-48788"
}
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TY - JOUR AU - Gonzalez Otero, Begoña PY - 2019 DA - 2019// TI - Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana? JO - JIPITEC SP - 65 EP - 83 VL - 10 IS - 1 KW - Artificial intelligence KW - best practices KW - data access KW - data re-use KW - data sharing KW - self-regulation KW - standard contract terms KW - the internet of things AB - On April 25, 2018, the European Commission (EC) published a series of communications related to data trading and artificial intelligence. One of them called “Towards a Common European Data Space”, came with a working document: “Guidance on Sharing Private Sector Data in the European Data Economy”. Both the Communication and the guidance introduce two different sets of general principles addressing data sharing, contractual best practices for business-to-business (B2B), and business-to-government (B2G) environments. On the same day, the EC also published a legislative proposal to review the Public Sector (PSI) Directive. These two simultaneous actions are part of a major package of measures, which aim to facilitate the creation of a common data space in the EU and foster European artificial intelligence development. This article focuses on the first action, the “Guidance on Sharing Private Sector Data in the European Economy”. First, because it is one of its kind. Second, although these principles do not qualify as soft law (lacking binding force but having legal effects) the Commission’s communications set action plans for future legislation. Third, because the ultimate goal of these principles is to boost European artificial intelligence (AI) development. However, do these principles set a viable legal framework for data sharing, or is this public policy tool merely a naïve expectation? Moreover, would these principles set a successful path toward a thriving European AI advancement? In this contribution, I try to sketch some answers to these and related questions. SN - 2190-3387 UR - http://nbn-resolving.de/urn:nbn:de:0009-29-48788 ID - gonzalez otero2019 ER -Download
Wordbib
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ISI
PT Journal AU Gonzalez Otero, B TI Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana? SO JIPITEC PY 2019 BP 65 EP 83 VL 10 IS 1 DE Artificial intelligence; best practices; data access; data re-use; data sharing; self-regulation; standard contract terms; the internet of things AB On April 25, 2018, the European Commission (EC) published a series of communications related to data trading and artificial intelligence. One of them called “Towards a Common European Data Space”, came with a working document: “Guidance on Sharing Private Sector Data in the European Data Economy”. Both the Communication and the guidance introduce two different sets of general principles addressing data sharing, contractual best practices for business-to-business (B2B), and business-to-government (B2G) environments. On the same day, the EC also published a legislative proposal to review the Public Sector (PSI) Directive. These two simultaneous actions are part of a major package of measures, which aim to facilitate the creation of a common data space in the EU and foster European artificial intelligence development. This article focuses on the first action, the “Guidance on Sharing Private Sector Data in the European Economy”. First, because it is one of its kind. Second, although these principles do not qualify as soft law (lacking binding force but having legal effects) the Commission’s communications set action plans for future legislation. Third, because the ultimate goal of these principles is to boost European artificial intelligence (AI) development. However, do these principles set a viable legal framework for data sharing, or is this public policy tool merely a naïve expectation? Moreover, would these principles set a successful path toward a thriving European AI advancement? In this contribution, I try to sketch some answers to these and related questions. ERDownload
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Full Metadata
| Bibliographic Citation | 10 (2019) 1 |
|---|---|
| Title |
Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana? (eng) |
| Author | Begoña Gonzalez Otero |
| Language | eng |
| Abstract | On April 25, 2018, the European Commission (EC) published a series of communications related to data trading and artificial intelligence. One of them called “Towards a Common European Data Space”, came with a working document: “Guidance on Sharing Private Sector Data in the European Data Economy”. Both the Communication and the guidance introduce two different sets of general principles addressing data sharing, contractual best practices for business-to-business (B2B), and business-to-government (B2G) environments. On the same day, the EC also published a legislative proposal to review the Public Sector (PSI) Directive. These two simultaneous actions are part of a major package of measures, which aim to facilitate the creation of a common data space in the EU and foster European artificial intelligence development. This article focuses on the first action, the “Guidance on Sharing Private Sector Data in the European Economy”. First, because it is one of its kind. Second, although these principles do not qualify as soft law (lacking binding force but having legal effects) the Commission’s communications set action plans for future legislation. Third, because the ultimate goal of these principles is to boost European artificial intelligence (AI) development. However, do these principles set a viable legal framework for data sharing, or is this public policy tool merely a naïve expectation? Moreover, would these principles set a successful path toward a thriving European AI advancement? In this contribution, I try to sketch some answers to these and related questions. |
| Subject | Artificial intelligence, best practices, data access, data re-use, data sharing, self-regulation, standard contract terms, the internet of things |
| DDC | 340 |
| Rights | DPPL |
| URN: | urn:nbn:de:0009-29-48788 |
