Towards a Roadmap for Privacy Technologies and the General Data Protection Regulation: A Transatlantic Initiative

Schiffner, Stefan; Berendt, Bettina; Siil, Triin; Degeling, Martin; Riemann, Robert; Schaub, Florian; Wuyts, Kim; Attoresi, Massimo; Gürses, Seda; Klabunde, Achim; Polonetsky, Jules; Sadeh, Norman; Zanfir-Fortuna, Gabriela

doi:10.1007/978-3-030-02547-2_2

Cited by 6 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…which has to be freely given and in an informed way. There have been intense debates as to whether users give consent in an informed way (Schiffner et al, 2018).…”

Section: Approaches Towards Better Governance Of Ai and Big Data: The Case Of The European Union's General Data Protection Regulationmentioning

confidence: 99%

“…These requirements have triggered new areas of research in computer science, AI and related fields. These research areas include investigations of anonymous data collection and processing, deidentification, and fairness, particularly in terms of non-discrimination (e.g., Schiffner et al, 2018; https://www.facctconference.org/). Future uses of AI in Education should draw on these developments.…”

Section: Approaches Towards Better Governance Of Ai and Big Data: The Case Of The European Union's General Data Protection Regulationmentioning

confidence: 99%

See 1 more Smart Citation

AI in education: learner choice and fundamental rights

Berendt

Littlejohn²,

Blakemore

2020

Learning, Media and Technology

Self Cite

127

View full text Add to dashboard Cite

This article examines benefits and risks of Artificial Intelligence (AI) in education in relation to fundamental human rights. The article is based on an EU scoping study (Anonymous, 2017). The study takes into account the potential for AI and 'Big Data' to provide more effective monitoring of the education system in real-time, but also considers the implications for fundamental human rights and freedoms of both teachers and learners. The analysis highlights a need to balance the benefits and risks as AI tools are developed, marketed and deployed. We conclude with a call to embed consideration of the benefits and risks of AI in education as technology tools into the development, marketing and deployment of these tools. There are questions around who -which body or organisation -should take responsibility for regulating AI in education, particularly since AI impacts not only data protection and privacy, but on fundamental rights in general. Given AI's global impact, it should be regulated at a trans-national level, with a global organisation such as the UN taking on this role.

show abstract

“…which has to be freely given and in an informed way. There have been intense debates as to whether users give consent in an informed way (Schiffner et al, 2018).…”

Section: Approaches Towards Better Governance Of Ai and Big Data: The Case Of The European Union's General Data Protection Regulationmentioning

confidence: 99%

Section: Approaches Towards Better Governance Of Ai and Big Data: The Case Of The European Union's General Data Protection Regulationmentioning

confidence: 99%

AI in education: learner choice and fundamental rights

Berendt

Littlejohn²,

Blakemore

2020

Learning, Media and Technology

Self Cite

127

View full text Add to dashboard Cite

show abstract

“…Among these is the principle of PbD, which could help redress the failure of consent. This can, for instance, be done by encouraging the development of systems where the consent request is designed to allow separate consent for different purposes and types of processing [19], as well as providing multi-layered and granular information to provide both accurate and understandable information to the data subject [68] [66]. However, as we will show below, PbD might be an improvement, yet it is merely a stepping stone towards what we call the right to customization.…”

Section: Limitations Of Consent In the Digital Environmentmentioning

confidence: 99%

The Right to Customization: Conceptualizing the Right to Repair for Informational Privacy

Tamò-Larrieux

Zihlmann

García

et al. 2021

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Terms of use of a digital service are often framed in a binary way: Either one agrees to the service provider's data processing practices, and is granted access to the service, or one does not, and is denied the service. Many scholars have lamented these 'take-it-or-leave-it' situations, as this goes against the ideals of data protection law. To address this inadequacy, computer scientists and legal scholars have tried to come up with approaches to enable more privacy-friendly products and services. In this article, we call for a right to customize the processing of user data. Our arguments build upon technology-driven approaches as well as on the ideals of privacy by design and the now codified data protection by design and default norm within the General Data Protection Regulation. In addition, we draw upon the right to repair that is propagated to empower consumers and enable a more circular economy. We propose two technologically-oriented approaches, termed 'variants' and 'alternatives' that could enable the technical implementation of a right to customization. We posit that these approaches cannot be demanded without limitation, and that restrictions will depend on how reasonable a customization demand is.

show abstract

“…), and the concept of provocations as such (8. and 9.). I added 7. as a general design principle learned from the discussions around the GDPR, which, to protect the rights and freedoms of individuals affected by (data processing) technology, requires technology and organizational designers to design based on the state of the art (see [85] for a discussion of the challenge of translating this legal requirement into engineering practice). This requirement appears pertinent and useful to all design "for Good".…”

Section: Recommendations and Ethics Pentestingmentioning

confidence: 99%

AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing

Berendt

2019

Paladyn, Journal of Behavioral Robotics

Self Cite

View full text Add to dashboard Cite

Recently, many AI researchers and practitioners have embarked on research visions that involve doing AI for "Good". This is part of a general drive towards infusing AI research and practice with ethical thinking. One frequent theme in current ethical guidelines is the requirement that AI be good for all, or: contribute to the Common Good. But what is the Common Good, and is it enough to want to be good? Via four lead questions, I will illustrate challenges and pitfalls when determining, from an AI point of view, what the Common Good is and how it can be enhanced by AI. The questions are: What is the problem / What is a problem?, Who defines the problem?, What is the role of knowledge?, and What are important side effects and dynamics? The illustration will use an example from the domain of "AI for Social Good", more specifically "Data Science for Social Good". Even if the importance of these questions may be known at an abstract level, they do not get asked sufficiently in practice, as shown by an exploratory study of 99 contributions to recent conferences in the field. Turning these challenges and pitfalls into a positive recommendation, as a conclusion I will draw on another characteristic of computerscience thinking and practice to make these impediments visible and attenuate them: "attacks" as a method for improving design. This results in the proposal of ethics pen-testing as a method for helping AI *

show abstract

Towards a Roadmap for Privacy Technologies and the General Data Protection Regulation: A Transatlantic Initiative

Cited by 6 publications

References 27 publications

AI in education: learner choice and fundamental rights

AI in education: learner choice and fundamental rights

The Right to Customization: Conceptualizing the Right to Repair for Informational Privacy

AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing

Contact Info

Product

Resources

About