Dr. Begoña Gonzalez Otero

Books and Monographs

Interoperabilidad, internet de las cosas y derecho de autor (Propiedad intelectual), Reus, Madrid 2019, 280 pp.

Contributions to Collected Editions, Commentaries, Handbooks and Encyclopaedias

Las excepciones de minería de textos y datos más allá de los derechos de autor, in: C. Saiz, R. Evangelio (eds.), Propiedad Intelectual y Mercado Único Digital Europeo, Tirant lo Blanch, Valencia 2019, 73 - 99.

Mandating Portability as a Strategy to Achieve Interoperability between On-line Platforms: Pros & Cons, in: Internet Law & Politics Conference Book: Building a European Digital Space, Barcelona 2016.

• Event: 12th International Conference on Internet, Law & Politics: Building a European Digital Space, Barcelona, 2016-07-07

Compelling Disclosure of Software Interoperable Information, in: Graeme B. Dinwoodie (ed.), Intellectual Property and General Legal Principles: Is IP a Lex Specialis?, Elgar, Cheltenham 2015, 69 - 90.

La computación en la nube ("cloud computing")¿Nuevos retos para el derecho de autor?, in: Ana María Tobío Rivas, Angel Fernández Albor Baltar (eds.), Estudios de derecho mercantil: Libro homenaje al Prof. Dr. Dr.h.c. José Antonio Gómez Segade, Marcial Pons, Madrid 2013, 673 - 684.

Journal Articles

Is the Transition to E-mobility the Silver Bullet to Achieve Climate-neutral Transport? An Interdisciplinary Review in the Search for Consistency and Collateral Effects, European Business Law Review 34, 1 (2023), 81 - 98 (together with Helmut Esteban).

• The ambition of the Paris Agreement implies climate neutrality by 2050, unless other large sectors with negative emissions take over. Existing public policies aim to reduce greenhouse gas emissions and improve the sustainability of all transport modes, especially cars. Nevertheless, a coherent transition to zero-carbon mobility is crucial for addressing socio-economic challenges and achieving equitable industrial change. If poorly managed, the potential social and economic damage will be unacceptable. Based on a comparative policy and regulatory analysis of electrified vehicles (EVs) in three regions, this paper highlights some of their advantages and disadvantages and makes recommendations to overcome some of the bottlenecks. The transition to electric mobility, if we really want to achieve the Paris goals, has the potential to be a climate policy game-changer and lead the evolution towards an economic system that aims to eliminate waste throughout the value chain and for all stakeholders, taking into account issues of equity and justice. This requires a coherent and globally coordinated policy that not only promotes an innovation pathway for EVs, but also includes energy production from renewable sources while ensuring their supply and independence. Similarly, the industry needs a radical transformation of the automotive sector, energy consumption and current infrastructure investments.
• https://kluwerlawonline.com/journalarticle/European+Business+Law+Review/34.1/EULR2023007

Thinking Slow About IP in Times of Pandemic, IIC 51, 5 (2020), 555 - 558. DOI

Brazil joins the Madrid Protocol: A happily ever after tale?, Your LATAM Flagship Blog 2019 14.08.2019.

Latin American Trademark Regulations getting closer to International Standards: A Review of the Latest Changes, Your LATAM Flagship Blog 2019.

• https://intellectual-property-helpdesk.ec.europa.eu/news-events/news/latin-american-trade-mark-regulations-getting-closer-international-standards_en

Evaluating the EC Private Data Sharing Principles: Setting a Mantra for Artificial Intelligence Nirvana?, Journal of Intellectual Property, Information Technology and Electronic Commerce Law 10, 1 (2019), 66 - 84.

• 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.

IP and Standardization: Key Aspects for an innovative India, International Journal of Science, Technology and Society 2019, forthcoming (together with Sheetal Chopra).

On the fence of Article 27(k) of the UPC: The software interoperability "limitation", Kluwer Patent Blog 2014.

• http://patentblog.kluweriplaw.com/2014/11/14/on-the-fence-of-article-27k-of-the-upc-the-software-interoperability-limitation/

New legislative means to foster software interoperability within the European Union? A survey of the measures envisaged by the European Commission in the Digital Agenda, Actas de derecho industrial y derecho de autor 34 (2014), 379 - 392.

Compelling to Disclose Software Interoperable Information: A Risk for Innovation or a Balanced Solution?, The Journal of World Intellectual Property 16, 1-2 (2013), 2 - 14.

Protección de las interfaces gráficas de usuario de programas de ordenador en el ámbito de los derechos de autor, Actas de derecho industrial y derecho de autor 31 (2011), 205 - 230.

Organización Europea de Patents: cambios en el Reglamento del CPE, Actas de derecho industrial y derecho de autor 30 (2010).

Reviews

Review of: Thomas Bopp/ Holger Kircher (eds.): Handbuch Europäischer Patentprozess, Beck, Munich 2019, XVIII + 824 pp., ISBN 978-3-406-66807-4, GRUR Int 69, 10 (2020), 1094. DOI

Review of: El Derecho Mercantil en el umbral del siglo XXI: Libro Homenaje al Prof. Dr. Carlos Fernández Nóvoa en su octogésimo cumpleaños, Marcial Pons, Madrid, 2010, Actas de derecho Industrial y derecho de Autor 31 (2010), 1010 - 1011.

Research Papers

Promoting Sustainable Innovation-Led Growth? The Potential and Risks of EV Policies (Max Planck Institute for Innovation & Competition Research Paper, No. 22-19), 2022, 39 pp. (together with Helmut Esteban).

• The transportation industry is one of the top five industries in the world for greenhouse gas emissions. Even though burning fossil fuels for our cars, trucks, ships, trains, and airplanes accounts for the majority of emissions, road passenger transportation accounts for the majority of them. The primary solution for moving towards greater environmental sustainability in passenger transportation by both, car manufacturers and governments, is electric vehicles (EVs). So far, the message has been that consumers should buy EVs to help solve the climate change problem, which would allow us to retain and even enhance our levels of mobility. But can we really achieve climate-neutral transportation with EVs?
  
  The three countries with the highest absolute emissions, China, the United States, and the European Union, also set the global agenda with their respective policies. Significant variations in their strategies would have a cascading effect on the decarbonization of transportation. Understanding the crucial contributions that both the public and private sectors make to the promotion of innovation-led growth is essential if we are to achieve climate-neutral passenger road transport. Since consumer protection and climate change are both strong policy arguments, climate policy to reduce greenhouse gas emissions from transportation must significantly rely on innovation. As a result, many innovations in road transportation are supported by environmental, economic, and social considerations. For instance, every path toward EV innovation must include the production of energy from renewable sources and guarantee their independence and supply. This paper focuses on the potential and risks for innovation based on a comparative policy and regulatory examination of EVs in these three regions. It provides suggestions for a coherent and globally coordinated policy framework and for the transitioning to a truly circular road passenger mobility system.
• Available at SSRN

Machine Learning Models under the copyright microscope: is EU Copyright fit for purpose? (Max Planck Institute for Innovation & Competition Research Paper, No. 21-02), 2020, 30 pp.

• This paper is based on a presentation given in December 2019 at the Lund’s University conference "Artificial Intelligence (AI), Data Protection and Intellectual Property in a European context". The purpose of this article is to analyse the suitability of the copyright system over the so-called "core components" of Machine Learning (ML) systems, the ML models. Computer programs protection has always caused certain difficulties for intellectual property law. Internationally is was agreed in the 1970s to protect computer programs as literary works of copyright. ML models have been called "learning algorithms", "AI computer programs", "super-software". Yet, unanimity lacks as to technically agree on what they are. This is relevant from a copyright perspective, because depending on whether the ML model qualifies as a computer program, as a mathematical method or as another type of work, the regime of protection granted by copyright will be different. Additionally, all proprietary and open-source software licensing relies on the copyright protection. In most open licenses, if the license is applied to something that is not protected by copyright (or related rights) the license is not triggered. Thus, it seems relevant to question whether EU copyright law provides adequate protection for the core components of machine learning systems, the ML models. This paper begins with an overview of justifications for copyright protection of computer programs. Understanding how this came about is important to consider protection insufficiencies and how this can later be applied to ML models. It follows a technical overview of the differences between AI software, ML models and algorithms, as to delineate and frame the type of work that a ML model would be. This part also focuses on the differences between traditional (non-AI) software and ML process design and development, and the role that ML models play therein. The third part explains what the legal framework for copyright protection of computer programs is and tests its applicability to ML models. The paper is finalized with a set of conclusions and thoughts for future reflection.
• Available at SSRN

Demystifying the Role of Data Interoperability in the Access and Sharing Debate (Max Planck Institute for Innovation & Competition Research Paper, No. 20-16), 2020, 37 pp. (together with Jörg Hoffmann).

• In the current data access and sharing debate, data interoperability is widely proclaimed as being key for efficiently reaping the economic welfare enhancing effects of further data re-use. Although, we agree, we found that the current law and policy framework pertaining data interoperability was missing a groundworks analysis. Without a clear understanding of the notions of interoperability, the role of data standards and application programming interfaces (APIs) to achieve this ambition, and the IP and trade secrets protection potentially hindering it, any regulatory analysis within the data access discussion will be incomplete. Any attempt at untangling the role of data interoperability in the access and sharing regimes requires a thorough understanding of the underlying technology and a common understanding of the different notions of data interoperability. The paper firstly explains the technical complexity of interoperability and its enablers, namely data standards and application programming interfaces. It elaborates on the reasons data interoperability counts with different levels and puts emphasis on the fact that data interoperability is indirectly tangled to the data access right. Since data interoperability may be part of the legal obligations correlating to the access right, the scope of interoperability is and has already been subject to courts’ interpretation. While this may give some manoeuvre for balanced decision-making, it may not guarantee the ambition of efficient re-usability of data. This is why data governance market regulation under a public law approach is becoming more favourable. Yet, and this is elaborated in a second step, the paper builds on the assumption that interoperability should not become another policy on its own. This is followed by a competition economics assessment, taking into account that data interoperability is always a matter of degree and a lack of data interoperability does not necessarily lead to a market foreclosure of competitors and to causing harm to consumer welfare. Additionally, parts of application programming interfaces (APIs) may be protected under IP rights and trade secrets, which might conflict with data access rights. Instead of further solving the conflicting regimes within the respective legal regimes of the exclusive rights the paper concludes by suggesting that (sector-specific) data governance solutions should deal with this issue and align the different interests implied. This may provide for better, practical and well-balanced solutions instead of impractical and dysfunctional exceptions and limitations within the IP and trade secrets regimes.
• Available at SSRN
• Also published on Research Gate
• Also published at: CFRED CUHK Law on Nov 3, 2020

Survey on National Public Sources of Copyright Flexibilities – Spain (National Expert) for the H2020 RIA Project ReCreating Europe, 2020.

• https://www.recreating.eu/

Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective (Max Planck Institute for Innovation & Competition Research Paper, No. 19-13), 2019, 15 pp. (together with Josef Drexl et al.).

• The present Q&A paper aims at providing an overview of artificial intelligence with a special focus on machine learning as a currently predominant subfield thereof. Machine learning-based applications have been discussed intensely in legal scholarship, including in the field of intellectual property law, while many technical aspects remain ambiguous and often cause confusion.
  This text was drafted by the Research Group on the Regulation of the Digital Economy of the Max Planck Institute for Innovation and Competition in the pursuit of understanding the fundamental characteristics of artificial intelligence, and machine learning in particular, that could potentially have an impact on intellectual property law. As a background paper, it provides the technological basis for the Group’s ongoing research relating thereto. The current version summarises insights gained from background literature research, interviews with practitioners and a workshop conducted in June 2019 in which experts in the field of artificial intelligence participated.
• Available at SSRN

Informe para la elaboración de un Manual de Buenas Prácticas para la persecución de los delitos contra la propiedad intelectual, report comanded by the Spanish Ministry of Education, Culture of Sports, Directorate of Copyright, Madrid, 2018 (together with Julio Aparicio Vaquero et al.).

Opinions

Position Statement of the Max Planck Institute for Innovation and Competition of 25 May 2022 on the Commission's Proposal of 23 February 2022 for a Regulation on Harmonised Rules on Fair Access to and Use of Data (Data Act), 2022, 124 pp. (together with Josef Drexl et al.).

• On 23 February 2022, the European Commission issued a Proposal for a Regulation on harmonised rules on fair access to and use of data (Data Act). The overarching objective of the Proposal is to ‘ensure fairness in the digital environment, stimulate a competitive data market, open opportunities for data-driven innovation and make data available for all’. The Institute hereby presents its Position Statement that features a comprehensive analysis of whether and to what extent the proposed rules might reach the envisaged objectives. It comments on all parts of the Proposal, including the new IoT data access and use right. Finally, the Institute offers a set of recommendations as to how the proposed provisions should be amended in the legislative process to align them better with the objectives of the Data Act.
• Position_Statement_MPI_Data_Act_Formal__13.06.2022.pdf
• Also published as: Max Planck Institute for Innovation & Competition Research Paper No. 22-05

Artificial Intelligence and Intellectual Property Law - Position Statement of the Max Planck Institute for Innovation and Competition of 9 April 2021 on the Current Debate, 2021, 26 pp. (together with Josef Drexl et al.).

• This Position Statement presents a broad overview of issues arising at the intersection of AI and IP law based on the work of the Max Planck Institute for Innovation and Competition research group on Regulation of the Digital Economy. While the analysis is approached mainly from a perspective de lege lata, it also identifies questions which require further reflection de lege ferenda supported by in-depth interdisciplinary research. The scope is confined to substantive European IP law, in particular, as regards copyright, patents, designs, databases and trade secrets. Specific AI-related issues are mapped out around the core questions of IP law, namely, the eligibility for protection under the respective IP regimes, allocation of rights and the scope of protection. The structure of the analysis reflects three key components of AI: inputs required for the development of AI systems, AI as a process and the output of AI applications. Overall, it is emphasised that, while recent legal and policy discussions have mostly focused on AI-aided and AI-generated output, a more holistic view that accounts for the role of IP law across the AI innovation cycle is indispensable.
• MPI_PositionPaper__SSRN_21-10.pdf
• Also published as Max Planck Institute for Innovation & Competition Research Paper No. 21-10

Comments of the Max Planck Institute for Innovation and Competition of 11 February 2020 on the Draft Issues Paper of the World Intellectual Property Organization on Intellectual Property Policy and Artificial Intelligence, 2020, 9 pp. (together with Josef Drexl et al.).

• WIPO AI Draft Issue Paper_Comments_Max Planck.pdf

Further Publications, Press Articles, Interviews

Copyright, Database right, European Union - A Closer Insight into Copyright related Issues in the Position Statement of the Max Planck Institute for Innovation and Competition on the Commission’s Proposal for a Data Act, Kluwer Copyright Blog 2022 29.06.2022 (together with Carolina Banda, Valentina Moscon).

The Jungle Bird, El Diablo, and the Zombie or Machine Learning Models, Computer Programs and Copyright Put to the Test, Kluwer Copyright Blog 2021.

• http://copyrightblog.kluweriplaw.com/2021/12/13/the-jungle-bird-el-diablo-and-the-zombie-or-machine-learning-models-computer-programs-and-copyright-put-to-the-test/

Before the Singularity: Copyright and the Challenges of Artificial Intelligence, Kluwer Copyright Blog 2018 (together with Joao Quintais).

• http://copyrightblog.kluweriplaw.com/2018/09/25/singularity-copyright-challenges-artificial-intelligence/