Rebeca Ferrero Guillén

Rebeca Ferrero Guillén

Doctoral Student

Intellectual Property and Competition Law


Areas of Interest: 

Emerging Technologies, Innovation Models, Open Source, Online Platforms, Intellectual Property Law

Academic Résumé

Since 2021
Doctoral Student at the Max Planck Institute for Innovation and Competition

2018  – 2019
LL.M. Magister Lvcentinvs (IP Law), Universidad de Alicante
Master’s thesis: “3D printing: Revolution and threat in the Intellectual property sector”.

Bar examination, qualified lawyer

2016 – 2017
Master’s in Legal practice, Universidad Autónoma de Madrid
Master’s thesis: “Fashion industry and Intellectual Property”

2012 – 2016
Bachelor’s Degree in Law, Universidad Carlos III de Madrid
Bachelor’s thesis: “Copyright on the Internet” (with honours)

Work Experience

2020 – 2021
Pan-European Seal Trainee, CTO Office, European Patent Office (EPO), Munich

2019 – 2020
Pan-European Seal Trainee, Boards of Appeal, European Union Intellectual Property Office (EUIPO), Alicante

2016 – 2017
Legal intern, A2 Estudio legal (IP Law firm), Madrid

Academic Prizes and Honours

2014 – 2015
Erasmus+ Scholarship, Université Panthéon-Assas, Paris


Contributions to Collected Editions, Commentaries, Handbooks and Encyclopaedias

Capítulo 5: Marcas y Diseños en el Metaverso: Cómo adentrarse en la "nueva" realidad virtual, in: Aurelio López-Tarruella Martínez (ed.), Protección y Gestión de la Propiedad Intelectual en el Metaverso (Derecho Digital), Reus, Madrid 2024, 167 - 192 (together with Anastasiia Kyrylenko).

    Journal Articles

    Vagueness in Artificial Intelligence: The 'Fuzzy Logic' of AI-Related Patent Claims, Digital Society 2023, 1 - 25, 02.01.2023 (together with Altair Breckwoldt Jurado). DOI

    • Artificial Intelligence is an emerging technology with an average growth rate of 64,70% in patent filings worldwide and 39,71% in Europe between 2015 and 2019, according to Espacenet queries. This trend has raised several concerns regarding the implications for Intellectual Property rights, including disclosure, which is one of the main components justifying the existence of the patent system. Despite its importance, this requirement has been disputed due to certain tendencies that distort the functions that the act of disclosure fulfils, such as promoting innovation, research, or teaching. With Artificial Intelligence-related patents being granted, the disclosure requirement is once again compromised, and perhaps even more due to the particularities that this branch of technology entails. In this sense, one main concern lies in the question of how Artificial Intelligence-related patents should be disclosed, as well as the fulfilment of this requirement. To this aim, two case studies are conducted to show the heterogeneity of compliance with this requirement, focusing on patents filed at the European Patent Office.
    • Also published at SSRN

    From Enemies to Allies: 3D Printing, IP and Sustainability, Journal of Intellectual Property Law & Practice 18, 5 (2023), 375 - 381. DOI

      La comunicación al público y la relevancia de las medidas preventivas contra el "framing": La comunicación al público y la relevancia de las medidas preventivas contra el "framing", Revista Jurídica de Catalunya 120 (2021), 822 - 826.

        Impresión Tridimensional: Retos y Oportunidades para la Cultura, Revista de Derecho de la Cultura 2 (2020).

        Research Papers

        Joint Report on the Online Workshop Trade Mark Law and Artificial Intelligence, 2022, 6 pp. DOI

        • On 22nd October 2021, Prof. Gangjee (University of Oxford), Prof. Senftleben (University of Amsterdam), and Dr. Moerland (University of Maastricht) brought together scholars, policymakers and private stakeholders to discuss the interface between artificial intelligence (AI) and trade marks.

          So far, the scholarly debate on how AI influences intellectual property (IP) protection has mainly focused on its effects on patents and copyright. Not much attention has been devoted to the effects of the use of AI technology for trade mark law.

          The online discussion aimed at opening the dialogue between trade mark scholars, AI developers and stakeholders. The purpose was two-fold. First, to understand how relevant AI tools process information relevant for brand-based commercial communication, as well as trade mark examination, infringement and enforcement, and what their limitations are. Second, based on that information, discuss the consequences for trade mark law and proposals to regulate AI systems and related data streams, identify areas of attention and suggest possible approaches towards current trade mark law and policy, including related areas, such as advertising rules and transparency obligations.

        Further Publications, Press Articles, Interviews

        The 'Right to Be Forgotten' Does Not Apply to Facts of Public Interest, GRUR Int 72, 2 (2023), 193 - 198. DOI

          Risk of Irreconcilable Solutions in Cross-Border Patent Infringement Cases, GRUR Int 72, 2 (2023), 147 - 149. DOI

            AdWords Trade Mark Infringement and the '1% Damages Rule' in Spain, GRUR Int 72, 6 (2023), 589 - 593.

              COVID Passports Do Not Violate the Rights to Privacy and Data Protection (Translation from Spanish), GRUR Int 71, 9 (2022), 886 - 895. DOI

                Lectures and Courses

                Third Parties’ Online Content and IP Infringement
                Master’s in Digital Communication, Universidad de Alicante


                Technology Democratisation in 3D Printing: An Interplay between the Law and Innovation Models
                EIPIN Doctoral Seminar, Maastricht University
                Location: Maastricht, Netherlands

                Round Table: “Technology Democratisation, SMES and IP”
                EPIP 2021 Conference, CSIC
                Location: Madrid, Spain

                Technology Democratisation in 3D Printing: An Interplay between the Law and Innovation Models
                EPIP PhD Workshop, CSIC
                Location: Madrid, Spain