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This report documents the outcomes of Dagstuhl Seminar 22342 "Privacy in Speech and Language Technology". The seminar brought together 27 attendees from 9 countries (Australia, Belgium, France, Germany, the Netherlands, Norway, Portugal, Sweden, and the USA) and 6 distinct disciplines (Speech Processing, Natural Language Processing, Privacy Enhancing Technologies, Machine Learning, Human Factors, and Law) in order to achieve a common understanding of the privacy threats raised by speech and language technology, as well as the existing solutions and the remaining issues in each discipline, and to draft an interdisciplinary roadmap towards solving those issues in the short or medium term. To achieve these goals, the first day and the morning of the second day were devoted to 3-minute self-introductions by all participants intertwined with 6 tutorials to introduce the terminology, the problems faced, and the solutions brought in each of the 6 disciplines. We also made a list of use cases and identified 6 cross-disciplinary topics to be discussed. The remaining days involved working groups to discuss these 6 topics, collaborative writing sessions to report on the findings of the working groups, and wrap-up sessions to discuss these findings with each other. A hike was organized in the afternoon of the third day. The seminar was a success: all participants actively participated in the working groups and the discussions, and went home with new ideas and new collaborators. This report gathers the abstracts of the 6 tutorials and the reports of the working groups, which we consider as valuable contributions towards a full-fledged roadmap.

This article aims to show how the legal and ethical debate – as far as ethics has become an indispensable complementary normative tool within legal frameworks – on the digital world in the United States (US) and the European Union (EU) has significantly opened up to include new dimensions other than privacy, particularly in connection with machine learning algorithms and Big Data. If privacy still remains the main interpretive construct to normatively forge the digital space, increasingly issues of discrimination, equal opportunity, fairness and, more broadly, models of justice, are entering the picture. While offering some examples of the inadequacy of privacy to cover new normative concerns related to Big Data and machine learning, the article also argues that attempts to grant algorithmic fairness represent just the first step in addressing the wider question about what models of digital justice we are willing to apply.

While the collection and monetization of user data has become a main source for funding ``free'' services like search engines, online social networks, news sites and blogs, neither privacy-enhancing technologies nor its regulations have kept up with user needs and privacy preferences. The aim of this Manifesto is to raise awareness for the actual state of the art of online privacy, especially in the international research community and in ongoing efforts to improve the respective legal frameworks, and to provide concrete recommendations to industry, regulators, and research agencies for improving online privacy. In particular we examine how the basic principle of informational self-determination, as promoted by European legal doctrines, could be applied to infrastructures like the internet, Web 2.0 and mobile telecommunication networks.

The Dagstuhl Perspectives Workshop "Online Privacy: Towards Informational Self-Determination on the Internet" (11061) has been held in February 6-11, 2011 at Schloss Dagstuhl. 30 participants from academia, public sector, and industry have identified the current status-of-the-art of and challenges for online privacy as well as derived recommendations for improving online privacy. Whereas the Dagstuhl Manifesto of this workshop concludes the results of the working groups and panel discussions, this article presents the talks of this workshop by their abstracts.