Förderjahr 2019 / Project Call #14 / ProjektID: 4625 / Projekt: RESPECTeD
Our society is becoming increasingly digital. In particular, the developments surrounding the COVID-19 global pandemic—which compelled many people, governments, companies, schools, universities, etc. to embrace an almost entirely online life—made it even more clear as to how online technologies are co-producing our personal and social lives and professional interactions, while blurring the lines between the two. As the prevalence of our online activities becomes more and more prominent, so do the concerns about digital privacy and online consent. Too often, companies follow business models that perceive users’ (i.e. customers’) personal data as a siloed resource, owned and controlled by the data controller rather than the data subjects. Collecting and processing such massive amounts of personal data could have many negative technical, social and economic consequences, including invading people’s privacy and autonomy. As a result, regulations such as the European General Data Protection Regulation (GDPR) have tried to take steps towards a better implementation of the right to digital privacy. Yet despite new legislations, users do not actually have the ability–and have not been empowered by interdisciplinary solutions–to exercise their rights as granted by the GDPR. The challenges of accessing user rights are highly problematic for both users and data processors alike: users face numerous difficulties in accessing their rights and data processors struggle to provide them effectively as doing so is slow, complex and time consuming. More often than not, the existing solutions do not take into account the cognitive, collective and contextual dimensions of consent, although these dimensions have been frequently studied and reported in academic literature, including our published articles (e.g. Human et al., 2019; Human & Cech, 2020; Human & Wagner, 2018).
Human, S., & Cech, F. (2020). A Human-centric Perspective on Digital Consenting: The Case of GAFAM. Human Centred Intelligent Systems 2020, Split, Croatia. https://epub.wu.ac.at/7523/
Human, S., Neumann, G., & Peschl, M. F. (2019). [How] Can Pluralist Approaches to Computational Cognitive Modeling of Human Needs and Values Save our Democracies? Intellectica, 70, 165–180.
Human, S., & Wagner, B. (2018). Is Informed Consent Enough? Considering Predictive Approaches to Privacy. CHI2018 Workshop on Exploring Individual Differences in Privacy.
Prior to his current position at the Vienna University of Economics and Business, Soheil conducted research and managed multidisciplinary projects in several universities and institutes, including Vienna University of Technology (TU Wien), Austrian Institute for Artificial Intelligence (OFAI), Research Studios Austria (RSA), etc. Besides his academic career, he has been coaching and consulting more than 40 start-ups and corporations. Moreover, he has been involved in diverse projects run by national and international NGOs or agencies, such as United Nations Industrial Development Organization (UNIDO).
Soheil is engaged in a broad portfolio of research aiming to empower humans and develop sustainable solutions in the digital economy. In his projects, he conducts multidisciplinary research on human needs & values, digital privacy, human-centric information systems and algorithmic accountability. Soheil Human applies a wide range of theories and methods from Philosophy, Cognitive & Information Economics, Conceptual & Computational Cognitive Modelling, Artificial Intelligence, and Semantic Web in his research. His other research interests involve digital rights, pluralism & epistemic disagreements, predictive processing, and socio-technical imaginaries.