H2020 MSCA ITN Protect
Objective
This page summarizes the UPM contribution to the PROTECT project, Ethics, Law & Knowledge for Governing AI Data. Besides the research results listed below, UPM organised other activities:
- Online workshop on Modelling and Mapping Ontologies (program) in June 2021.
- Third PROTECT Workshop in June 2022
Ontologies
OAC - ODRL Profile for Access Control in Solid
These pages contain material for an ODRL profile:
Beatriz Esteves, Harshvardhan J. Pandit, Víctor Rodríguez-Doncel.
ODRL Profile for Access Control in Solid. Version: 0.1 (2021).
GDPRIF - GDPR Information Flows
The GDPRIF ontology captures the rights and obligations established in GDPR in terms of information flows that occur between GDPR stakeholders.
Beatriz Esteves, Víctor Rodríguez-Doncel.
GDPR Information Flows. Version: 0.1 (2020).
EA Ontology - Ethical Analysis Ontology
The EA ontology captures the knowledge in the domain of ethical analysis covering different methodologies
Karen Vázquez
EA Ontology - version 0.1.
OTAIA - Ontology for Trustworthy AI Assessment
OTAIA reflects the concepts and relations mentioned in ALTAI (the assessment list for trustworthy AI).
Delaram Golpayegani, Rana Saniei.
OTAIA (Ontology for Trustworthy AI Assessment). Version: 0.1 (2020).
Legal, Social, and Ethical Impact of Datasets Vocabulary
The Legal, Social, and Ethical Impact of Data Vocabulary includes all the vocabulary
needed to describe datasets in terms of legal, social, and ethical impact.
Philipp Scomparin (2021).
Data model for legal and ethical compliance by design
in data science projects. Final MSc Project at UPM.
Papers
Who Should I Trust with My Data?
These pages contain material for a submitted paper:
Asgarinia, H., Chomczyk Penedo, A., Esteves, B., Lewis, D., Mutiro, B.,
'Who should I trust with my data?': are decentralised technologies the answer to achieving
ethical and lawful data governance practices?,
2022 Workshop 'Data and the Commons'
(WDC 2022).
ODRL Profile for Expressing Consent in Solid
These pages contain material for an accepted paper:
Esteves, B., Pandit, H.J., Rodríguez-Doncel, V., ODRL Profile for Expressing Consent through Granular Access Control
Policies in Solid, 2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) -
Workshop on Consent Management in Online Services, Networks and Things (COnSeNT 2021), 2021, pp. 298-306.
Ontologies and Policy Languages for GDPR
These pages contain supplementary material for a submitted paper:
Esteves, B. and Rodríguez-Doncel, V., Analysis of Ontologies and Policy Languages to represent information flows in GDPR.
Under evaluation by Semantic Web Journal
(see
submission).
Challenges in the Digital Representation of Privacy Terms
These pages contain material for an accepted chapter:
Esteves, B., Challenges in the Digital Representation of Privacy Terms, 2021,
AI Approaches to the Complexity of Legal Systems XI-XII. AICOL 2020, AICOL 2018, XAILA 2020.
Lecture Notes in Computer Science, vol 13048., Springer, Cham, pp. 313-327.
Challenges in the Implementation of PESTs
These pages contain material for an accepted chapter:
Saniei, R., Challenges in the Implementation of Privacy Enhancing Semantic Technologies (PESTs) Supporting GDPR, 2021,
AI Approaches to the Complexicity of Legal Systems XI-XII. AICOL 2020, AICOL 2018, XAILA 2020.
Lecture Notes in Computer Science, vol 13048., Springer, Cham, pp. 283-297.
Privacy Tags for Health Information
These pages contain supplementary material for a submitted paper:
A Corpus of Physical Health Data Disclosure on Twitter During COVID-19 Pandemic
Saniei, R. and Rodríguez-Doncel, V. .