6 research outputs found
Fostering trustworthy data sharing: establishing data foundations in practice
No full textIndependent data stewardship remains a core component of good data governance practice. Yet, there is a need for more robust independent data stewardship models that are able to oversee data-driven, multi-party data sharing, usage and re-usage, which can better incorporate citizen representation, especially in relation to personal data. We propose that data foundations – inspired by Channel Islands’ foundations laws – provide a workable model for good data governance not only in the Channel Islands but also elsewhere. A key advantage of this model – in addition to leveraging existing legislation and building on established precedent – is the statutory role of the guardian that is a unique requirement in the Channel Islands, and when interpreted in a data governance model provides the independent data steward. The principal purpose for this paper therefore is to demonstrate why data foundations are well suited to the needs of data sharing initiatives. We further examine how data foundations could be established in practice – and provide key design principles that should be used to guide the design and development of any data foundation<br/
Building trust through data foundations: a call for a data governance model to support trustworthy data sharing
No full textThis white paper sets out how to embody a Data Governance Model which builds trust, particularly when used with large group data sharing, within and between different organisations through the legal structure of a Data Foundation in the Channel Islands
Speculative methods for exploring data ethics in food systems
No full textThis paper explores using design methods to examine ethical challenges in complex systems, specifically relating to technology design, policy, and governance surrounding new forms of data sharing and collaboration in food supply chains. In a research-through-design process, we developed speculative methods to examine how the incorporation of new technologies raises ethical considerations such as bias, transparency, and governance challenges in this sector. Design fiction artefacts were developed with an interdisciplinary team and assessed using the Moral-IT card deck. Through this process, we explored potential shortcomings, trade-offs, and dilemmas relating to speculative food data-sharing systems. The design methods enabled greater understanding of multifaceted challenges, supporting ethical practice in future design implementation and policy
Ethics by design: Responsible research & innovation for AI in the food sector : Responsible Research & Innovation for AI in the Food Sector
No full textHere we reflect on how a multi-disciplinary working group explored the ethical complexities of the use of new technologies for data sharing in the food supply chain. We used a three-part process of varied design methods, which included collaborative ideation and speculative scenario development, the creation of design fiction objects, and assessment using the Moral-IT deck, a card-based tool. We present, through the lens of the EPSRC’s Framework for Responsible Innovation how processes of anticipation, reflection, engagement and action built a plausible, fictional world in which a data trust uses artificial intelligence (AI) to support data sharing and decision-making across the food supply chain. This approach provides rich opportunities for considering ethical challenges to data sharing as part of a reflexive and engaged responsible innovation approach. We reflect on the value and potential of this approach as a method for engaged (co-)design and responsible innovation
Invited speaker at the Panel on "MULTI-PARTY DATA SHARING AND DATA SUBJECT RIGHTS: HOW TO ACCELERATE ACCOUNTABLE DATA SHARING?" at CPDP 2021, Computers, Privacy and Data Protection Conference 2021, Brussels, 27-29 January 2021.
No full text17:15 – MULTI-PARTY DATA SHARING AND DATA SUBJECT RIGHTS:
HOW TO ACCELERATE ACCOUNTABLE DATA SHARING?
Organised by Computer Law and Security Review
Moderator Sophie Stalla-Bourdillon, University of Southampton (UK)
Speakers Else Feikje van der Berg, Datawallet (DE); Malte Malte Beyer-Katzenberger, European Commission (EU);
Paul Comerford, Information Commissioner’s Office (UK); Alexsis Wintour, Lapin Ltd (PT); Denise Amram, Scuola
Superiore Sant’Anna (IT)
Attempts to set up repeatable mechanisms or structures to support the accountable multi-party sharing of personal data
have not yet succeeded, although different models are now emerging. The extraordinary situation of the global pandemic
makes it crystal clear that there is an urgent need to accelerate the sharing of personal data among different types of
stakeholders, e.g. healthcare providers, social care providers, researchers and public health authorities. However, the
danger is that data subject rights will be watered down, and more generally that such data sharing will de facto enable
extensive surveillance programmes and irremediably undermine fundamental rights and liberties of data subjects.
The purpose of this panel is to discuss barriers to the sharing of personal data as well as necessary safeguards, and explore
a variety of emerging multi-party data sharing models across jurisdictions.
• How can we accelerate data sharing between multi parties without watering down data subject rights?
• What are the emerging multi-party data sharing models?
• How do these models compare with each other?
• To what extent arrangements that have been built for health data in the context of the covid crisis can be repeated and
generalized
Speculative Methods for Exploring Data Ethics in Food Systems
No full textThis paper explores using design methods to examine ethical challenges in complex systems, specifically relating to technology design, policy, and governance surrounding new forms of data sharing and collaboration in food supply chains. In a research-through-design process, we developed speculative methods to examine how the incorporation of new technologies raises ethical considerations such as bias, transparency, and governance challenges in this sector. Design fiction artefacts were developed with an interdisciplinary team and assessed using the Moral-IT card deck. Through this process, we explored potential shortcomings, trade-offs, and dilemmas relating to speculative food data-sharing systems. The design methods enabled greater understanding of multifaceted challenges, supporting ethical practice in future design implementation and policy
