Eurograd message

                Liebe Kolleginnen und Kollegen,
<br>
<br>wir möchten Euch gerne auf den folgenden Call for Abstracts zur Session
<br>"Applying artificial intelligence on vulverable target groups: chances and
<br>challenges" aufmerksam machen. Die Session ist Teil der 18th Annual STS
<br>Conference Graz 2019, welche vom 6. bis 7. Mai 2019 stattfindet.
<br>
<br>Einreichungsfrist: 21. Januar 2019
<br>Benachrichtigung über ausgewählte Abstracts: Februar 2019
<br>Für weitere Informationen besucht bitte: http://sts-conference-graz.tugraz.at
<br>
<br>
<br>Wir freuen uns auf Eure Einreichungen über das Online-Formular
<br>
<br>
<br>Viele Grüße
<br>
<br>Diana Schneider & Scarlet Siebert
<br>
<br>
<br>
<br>S4: Applying artificial intelligence on vulnerable target groups: chances and
<br>challenges
<br>
<br>SCHNEIDER, Diana (FH Bielefeld - University of Applied Sciences) & SIEBERT,
<br>Scarlet (TH Köln - University of Applied Sciences), Germany
<br>
<br>
<br>Digitalization in general and artificial intelligence (AI) in particular, e.g.
<br>applications of big data analytics and robotics, are radically changing
<br>society. This applies not only to the world of industry and politics, but also
<br>to an increasing extent to social services like education and healthcare,
<br>where vulnerable groups like children, elderly or disabled people are
<br>targeted. In this context, societal challenges, e.g. the demographic change,
<br>are powerful narratives for a technology-push, that is supposed to foster
<br>self-determination, participation, and equality of these groups. For instance,
<br>applications of smart home shall allow the elderly to stay in their familiar
<br>environment longer (Wessling, 2013), while social robots are supposed to
<br>foster the participation of children with special needs in educational
<br>settings (Dautenhahn et al., 2009; Kim et al., 2013). With the assessment of
<br>big data, unemployed people shall receive adequate offers concerning their job
<br>opportunities (Fanta, 2018) and refugees shall get sufficient treatments
<br>concerning their health (Baeck, 2017). Furthermore, dangers to the welfare of
<br>children shall be identified at an early stage (e.g. Gillingham & Graham,
<br>2016). At the same time, the question arises if technology might transfer
<br>social disparities into the digital world. For instance, algorithms for
<br>predictive policing seem to replicate inequality because they are based on
<br>biased data that leads to accusing ethnic and religious minorities more often
<br>than the white majority (e.g. Tayebi & Glässer, 2018; Datta et al., 2015).
<br>Living in a socially deprived neighbourhood in the analogue world accounts for
<br>a bad digital score, which might then lead to analogously executed
<br>punishments.
<br>Although AI is already being used in highly sensitive areas such as
<br>kindergartens, welfare state institutions, and authorities, the effects of
<br>this technology on these areas have hardly been researched, if at all. The
<br>assessment of advantages and disadvantages of AI in these areas is still in
<br>its infancy. Therefore, this session seeks to discuss challenges and chances
<br>of the application of AI on vulnerable target groups, that shall function as a
<br>“burning glass” for the current state and future trends of possibilities
<br>to experience self-determination, participation, and equality in a digital
<br>society. These groups include, e.g., children, the elderly, people with
<br>disabilities, unemployed people as well as refugees.
<br>By taking into account different disciplines, the session follows the concept
<br>of integrated research (Stubbe, 2018), that might enable a broader view on the
<br>technological impact on individuals (micro level) and institutions (macro
<br>level) and help answering the following questions systematically (Manzeschke
<br>et al., 2013): In which ways is the application of artificially intelligent
<br>technologies ethically questionable with respect to a certain target group?
<br>Which ethical challenges do emerge from the application of these technologies?
<br>How can these challenges be mitigated or even dissolved? To answer these
<br>questions, we would like to focus on conceptual and theoretical work. However,
<br>empirical findings, that report on challenges or solutions concerning the
<br>application of artificially intelligent technologies on vulnerable target
<br>groups, are welcomed as well.
<br>
<br>KEYWORDS: digital society, artificial intelligence, self-determination,
<br>participation, integrated research
<br>
<br>References:
<br>Baeck, J.-P. (2017, Mai 29). Überwachungssoftware für Geflüchtete: Der
<br>gläserne Flüchtling. Die Tageszeitung: taz. Abgerufen von
<br>https://www.taz.de/!5409816/ 
<br>Datta, A. et al. (2015): Automated Experiments on Ad Privacy Settings. A Tale
<br>of Opacity, Choice, and Discrimination, In: Proceedings on Privacy Enhancing
<br>Technologies (1), S. 92-112.
<br>Dautenhahn, K., Nehaniv, C. L., Walters, M. L., Robins, B., Kose-Bagci, H.,
<br>Mirza, N. A., & Blow, M. (2009). KASPAR - a minimally expressive humanoid
<br>robot for human-robot interaction research.
<br>http://dx.doi.org/10.1080/11762320903123567
<br>
<br>Fanta, A. (2018, Oktober 13). Österreichs Jobcenter richten künftig mit
<br>Hilfe von Software über Arbeitslose. Abgerufen 23. Oktober 2018, von
<br>https://netzpolitik.org/2018/oesterreichs-jobcenter-richten-kuenftig-mit-hilf
<br>e-von-software-ueber-arbeitslose/
<br>
<br>Gillingham, P. & Graham, T. (2016): ”Big Data“ in social work: The
<br>development of a critical perspective on social work´s latest ”electronic
<br>turn“, In: Australian Social Work, March 2016
<br>Kim, E. S., Berkovits, L. D., Bernier, E. P., Leyzberg, D., Shic, F., Paul,
<br>R., & Scassellati, B. (2013). Social robots as embedded reinforcers of social
<br>behavior in children with autism. Journal of Autism and Developmental
<br>Disorders, 43(5), 1038–1049. https://doi.org/10.1007/s10803-012-1645-2
<br>
<br>Manzeschke, A., Weber, K., Rother, E., & Fangerau, H. (2013). Ergebnisse der
<br>Studie „Ethische Fragen im Bereich Altersgerechter Assistenzsysteme“ (neue
<br>Ausg). Berlin: VDI.
<br>Stubbe, J. (2018). Innovationsimpuls „Integrierte Forschung“.
<br>Diskussionspapier des BMBF-Forschungsprogramms „Technik zum Menschen
<br>bringen". Berlin: VDI/VDE Innovation + Technik GmbH. Abgerufen von
<br>https://www.technik-zum-menschen-bringen.de/dateien/service/veranstaltungen/d
<br>iskussionspapier-integrierte-forschung-2018-05-25.pdf
<br>
<br>Tayebi, M. A., & Glässer, U. (2018). Social Network Analysis in Predictive
<br>Policing: Concepts, Models and Methods (Softcover reprint of the original 1st
<br>ed. 2016). Springer.
<br>Wessling, C. (2013, Dezember 17). Smart Home für Senioren. Zwischen
<br>Unterstützung und Überwachung. Abgerufen
<br>vonhttps://www.handelsblatt.com/technik/das-technologie-update/healthcare/sma
<br>rt-home-fuer-senioren-zwischen-unterstuetzung-und-ueberwachung/9223758.html
<br>
<br>_______________________________________________
<br>EASST's Eurograd mailing list
<br>Eurograd (at) lists.easst.net
<br>Unsubscribe or edit subscription options: http://lists.easst.net/listinfo.cgi/eurograd-easst.net
<br>
<br>Meet us via https://twitter.com/STSeasst
<br>
<br>Report abuses of this list to Eurograd-owner@lists.easst.net