WeNet is co-organizing the Beyond Privacy: Learning Data Ethics – European Big Data Community Forum 2019 on November 14, 2019 – 9:00-16:30 Solvay Library, Brussels
The event will host WeNet first Policy Workshop, which will be run as a World Cafe’ format, with highly interactive participation of the attendees.
Dr Laura Schelenz will conduct the Workshop “Social and Economic Impacts: focus on extracting data for social good and social welfare”
- Privacy Preserving Technologies in Big Data Analytics e-SIDES (Daniel)
- Data for Diversity-Aware Technology: Some Ethical Considerations, Dr Laura Schelenz
Dr Laura Schelenz, International Center for Ethics in the Sciences and Humanities, University of Tübingen
She studied American Studies and Peace and Conflict Research in Heidelberg and Frankfurt in Germany and stayed abroad in the USA and Hungary. She was involved in research and advocacy at the Heidelberg Institute for International Conflict Research, Human Rights Watch and World Vision Germany. Since September 2017, Laura works as a researcher at the IZEW. Her research deals with ethical and feminist perspectives on technology development.
Beyond Privacy: Learning Data Ethics | European Big Data Community Forum 2019
Big Data Analytics helps organizations, communities and individuals harness the value of growing amounts of data. According to recent forecasts, in 2025, the digital economy will multiply by 10 the volume of data now generated. While, on the one hand, this widespread use of data enables us to create more efficient and effective products and services, and fuel economic growth, on the other hand, this vast potential has created a new range of ethical challenges.
The dark side of data innovation is not only the result of uncontrolled data trading networks, which represent a huge risk to the privacy of individuals, allowing for misuse, but also emerges from numerous well-intentioned service providers who do not take basic measures to limit or protect sensitive data. Strong data protection, privacy-aware data management, transparent online services, and fair data trading approaches are the crucial aspects to be inherent to the EU data market.
Innovators, researchers and policy makers are asked to work together to ensure great safety and trust as foundations of both a responsible data economy and responsible innovation.
If you are active in Big Data research, policy or industry and are wondering how best to deal with ethical challenges, also in view of the rise of Artificial Intelligence, this event will make you aware of the most recent discussions about ethical principles and practical guidelines.
Forum Privacy (‘Forum Privatheit’), a German research project, is hosting an exploratory, multi-disciplinary, one-day workshop on feminist approaches to data protection.
The workshop is organised with the support of the Unabhängiges Landesdatenschutzzentrum Schleswig-Holstein (ULD), the International Center for Ethics in the Sciences and Humanities (IZEW) and the Center for Gender and Diversity Research (ZGD) of the University of Tübingen and the Law, Science, Technology and Society Research Group of the Vrije Universiteit Brussel.
The notion of data protection has increasingly become a part of legal and political discourse in Europe, as exemplified by the inclusion of a right to data protection in the EU’s Charter of Fundamental Rights. Yet there have been relatively few engagements in thinking and framing data protection from an explicitly feminist perspective. This stands in stark contrast to the notion of privacy, with which data protection is often conflated and which has been the subject of extensive feminist critique, particularly insofar as it relates to the distinction between public and private spheres. The starting point of this workshop is that the notion of data protection, once disentangled from privacy, warrants further examination from a perspective of intersectional feminism.
Data protection may be understood by considering the power imbalance with which individuals are confronted when their data are processed: public and private entities can collect data without the individuals’ knowledge and it is hardly possible for individuals to control their data, once collected. The processing of data thereby creates inherent risks for individuals – particularly so for those already marginalized or subject to discrimination – and affects the distribution of power in our societies. Thus data protection, like feminism, aims at theorizing and changing structural inequalities and power relations. We wish to discuss these structural issues as well as potential answers through the lens of emancipatory approaches, such as feminist, queer, Marxist, post-colonial, critical race or disability studies perspectives.
We invite submissions on the topic of feminist and other emancipatory approaches to data protection addressing the power imbalance faced by individuals, especially with regard to discrimination, marginalization and oppression. We are interested in a wide variety of perspectives on the intersection between feminism and data protection, both in Europe and beyond, whether they are focused on mutual critique or on how either can benefit from the other and what their common or related aims could be. Topics of interest include, but are not limited to:
- Data protection and privacy: How can the relation between these “positive” notions in one discourse and the negative image of private space whose “legal vacuum” facilitates the exploitation of structural inequalities be analysed and brought into a dialogue?
- Data activism, digital rights, and feminism: Around which issues are European and worldwide feminist initiatives focusing on data processing practices emerging? What are the intersections between such initiatives and data protection?
- Countering illegitimate data processing: How can women and marginalized groups profit from the networking effects of social networks in order to organize while being protected from the fallout inherent in their capitalist business models, i.e. tracking and profiling?
- Surveillance: How is technology developed and used to oppress certain groups? What are the dangers disproportionately affecting women, especially women of colour, in the context of surveillance? How could or should surveillance be avoided, subverted or countered?
- Artificial Intelligence and Big Data: Should these practices be conceived of as a form of automated and inherent discrimination or as tools for visualizing and countering existent discrimination? What biases are built into them, and what are their regulatory effects?
- Online gender ascription: How is information about gender being collected and processed? Which parameters determine gender ascription? Is the gender identity of individuals (including non-binary persons) respected, and could data protection law further this cause?
- Data processing and identity formation: What role do notions such as visibility, hiding, outing, and performativity play in the context of data processing and reproduction of gender norms and gendered identities? Can and should data protection intervene in such processes?
- Practices of categorisation: How are categories constructed, by which actors, and what is their impact, particularly for oppressed groups such as women? How are biases built into data systems by means of categorisation and how should we respond to this?
- Data subjects and rights: Can we rethink notions of data protection law in ways which go beyond the neoliberal focus on the ostensibly gender-neutral, self-determining individual? How can we go beyond data subject rights (e.g. group rights, or other languages of resistance)?
The workshop will take place on Wednesday, 20 November 2019 (before the annual conference of Forum Privacy, taking place in Berlin from 21 to 22 November 2019). They are looking forward to intense discussions between around 10–15 participants, each briefly presenting their submission. Interested scholars should submit an abstract of around 500 to 750 words and a short CV to by 15 June 2019.
For any further questions, please feel free to contact the organizing committee: Regina Ammicht Quinn, Andreas Baur, Felix Bieker, Gloria González Fuster, Marit Hansen, and Jens T. Theilen. You can reach them at .
More information here: www.forum-privatheit.de
Download the Call for Papers here (PDF).
14th Annual Meeting of the Internet Governance Forum
The Internet Governance Forum (IGF) was set up as an open discussion platform of the United Nations for key legal, political, social and technical issues relating to the internet.
The IGF is designed according to the “multi-stakeholder” model, meaning that all the relevant societal groups are equally involved in preparations and implementation: from governments, civil society, business, academia, international organisations and the technical community. This is particularly of note in terms of representatives from developing and newly industrialising countries, who otherwise tend to be under-represented.
The forum was established in 2006 by the Secretary-General of the United Nations (UN). The IGF does not make binding decisions, but only serves in an advisory capacity. The annual meetings are held for the purposes of discussion, information and inspiration, with the primary objective of facilitating equitable and constructive dialogue between the various representatives, and to play a role in shaping debate within the relevant decision-making bodies at a national and international level.
Global trends relating to internet politics, current draft legislation and established practices are regularly discussed at these meetings. Delegates address topics including future opportunities and challenges presented by the internet, as well as analysing ways of making full use of the internet’s potential.
Having previously been convened in Geneva and Paris, the 14th Annual Meeting will be held on 25-29 November 2019 at the Estrel Congress Centre in Berlin.
For more info, follow the IGF 2019 on twitter.
CPDP 2020 | Data Protection and Artificial Intelligence
CPDP is a non-profit platform originally founded in 2007 by research groups from the Vrije Universiteit Brussel, the Université de Namur and Tilburg University. The platform was joined in the following years by the Institut National de Recherche en Informatique et en Automatique and the Fraunhofer Institut für System und Innovationsforschung and has now grown into a platform carried by 20 academic centers of excellence from the EU, the US and beyond. As a world-leading multidisciplinary conference CPDP offers the cutting edge in legal, regulatory, academic and technological development in privacy and data protection. Within an atmosphere of independence and mutual respect, CPDP gathers academics, lawyers, practitioners, policy-makers, industry and civil society from all over the world in Brussels, offering them an arena to exchange ideas and discuss the latest emerging issues and trends. This unique multidisciplinary formula has served to make CPDP one of the leading data protection and privacy conferences in Europe and around the world.
Algorithmic systems are being adopted in a growing number of contexts, fueled by big data. These systems filter, sort, score, recommend, personalize, and otherwise shape human experience. increasingly making or informing decisions with major impact on access to, e.g. credit, insurance, healthcare, parole, social security, and immigration. Although these systems may bring myriad benefits, they also contain inherent risks, such as codifying and entrenching biases; reducing accountability, and hindering due process; they also increase the information asymmetry between individuals whose data feed into these systems and big players capable of inferring potentially relevant information.
ACM FAT* is an interdisciplinary conference dedicated to bringing together a diverse community of scholars from computer science, law, social sciences, and humanities to investigate and tackle issues in this emerging area. Research challenges are not limited to technological solutions regarding potential bias, but include the question of whether decisions should be outsourced to data- and code-driven computing systems.
Connecting AI innovators with problem owners for sustainable development
The AI for Good Global Summit is THE leading United Nations platform for global and inclusive dialogue on AI. The Summit is hosted each year in Geneva by the ITU in partnership with UN Sister agencies, XPRIZE Foundation and ACM.
Connect AI innovators with problem owners, to identify practical applications of AI to accelerate progress towards the UN Sustainable Development Goals
Ensure trusted, safe and inclusive development of AI technologies and equitable access to their benefits