[Air-L] call for papers

[Lauri Goldkind]

Hello!
If you are a scholar of nonprofits and digital implementations, ai and
human services or similar, please consider submitting to the call for
papers detailed below (and attached).
Kind regards,
Lauri

Background:


Digital technologies and digital transformation are increasingly present in
all sectors of the economy (Newman, Mintrom, & O'Neill, 2022). In many
cases, digital technologies can be used to create a more “livable and
sustainable future” (Hagemann Snabe, 2022).

Although AI is only one of many technologies, it has infiltrated numerous
sectors of the economy, such as manufacturing (Lee, J., Davari, Singh, &
Pandhare, 2018) or healthcare (Davenport & Kalakota, 2019; Jiang, F. et
al., 2017; Yu, Beam, & Kohane, 2018). Today, AI is often just being called
a game changer (Castellanos, 2020; Ditsche, Schieler, & Steffan, 2023).

AI is also used in the context of human services. It  is used, for example
in child welfare (Gillingham, P., 2006; Schwartz, York, Nowakowski-Sims, &
Ramos-Hernandez, 2017), youth work (Rice et al., 2018; Ting, Chu, Zeng, Li,
D., & Chng, 2018), or mental health services (Gamble, 2020). Furthermore,
artificial intelligence can be used in human services on different levels
(Goldkind, 2021): micro/individual like virtual and personalized
On-Demand-Counselors (Lisetti, Amini, Yasavur, & Rishe, 2013), meso like
predictive analytics to improve services and life of client and staff
(Goldkind, 2021) or digital-automated decision making (Ranerup & Henriksen,
2022) and on macro level to share information between providers, across
sectors and governmental organisations in order to connect data (Susha et
al., 2018).

Recent developments and discussions on ChatGPT and initial publications on
its impact on human services like social work point out its practical
importance (Patton, D. Upton, Landau, A., & Mathiyazhagan, 2023; Singer,
Báez, & Rios, 2023). However, research and practice lag behind in and is
still in its infancy (Zetino & Mendoza, 2019). For this, it is necessary to
consider the respective possibilities, limits, challenges, and (un)foreseen
positive and negative impacts of the AI application (Zetino & Mendoza,
2019). On the one hand, AI offers different opportunities like
digital-assisted decision support (Bako et al., 2021; Gillingham, P.,
2013), information and data exchange (Devlieghere, Bradt, & Roose, 2018;
Fink, 2018), proactive and predictive thinking e.g. enabling risk
assessment (Gillingham, P., 2016; Grządzielewska, 2021), increased quality
and impact e.g. of services (Kum, Joy Stewart, Rose, & Duncan, 2015; Pan et
al., 2017; Santiago & Smith, 2019), transparency and user orientation (Bako
et al., 2021; Cresswell et al., 2020). On the other hand, it is important
to consider its limitations, which are just as diverse: Dehumanization
(Devlieghere, Gillingham, P., & Roose, 2022; Fink, 2018), data safety and
security (Keen et al., 2021; Ranerup & Henriksen, 2022), data and
algorithmic Injustice (Eubanks, 2018; Walter et al., 2021; Whelan, 2020)
and as result inequalities (Eubanks, 2018) or misperception and bias
(Cresswell et al., 2020; James & Whelan, 2021; Landau, A. Y. et al., 2022).
These limitations are particular relevant to the human service context as
human services professions are based on strong ethical and moral
foundations (Rodriguez, DePanfilis, & Lanier, 2019; Schneider & Seelmeyer,
2019) work with often overlooked and marginalized, stigmatized, and
discriminated groups and with very sensitive and complex psychological and
emotional issues. As a consequence, AI can be a potent support tool but
could also exacerbate existing inequalities, injustices, and challenges.

Vision and Aim:

Artificial intelligence could have the potential to radically transform the
human service sector, but research and practical application remain in
their infancy (Zetino & Mendoza, 2019). The vision of the special issue is
to take a closer look at different application areas, levels of artificial
intelligence in human service organizations. Our aim is to aggerate
knowledge and topics as well as to bring researchers together and develop a
research community.

Possible Topics (as an orientation)

The guest editors are pleased to invite submissions on the topic of
artificial intelligence from different perspectives. Authors are free to
choose the level or aspects on which they examine AI in human services,
e.g. organisation, client, profession, or cross-cutting. Model or pilot
projects can also be presented. Suggested topics could include but are not
limited to:

   -

   What effects does artificial intelligence have on existing human
   service- and counselling models?
   -

   How can revenue models be developed for and with AI?
   -

   How can interdisciplinary and diverse teams develop AI? How can
   non-discriminatory practices be built into t the design and development
   stages of AI (e.g., through team structures, make-up, and processes)
   -

   What are equality, diversity, and inclusion opportunities and challenges
   of AI integration into organisations and their processes (e.g., for gender
   (identity), race/ethnicity, disability, social class, religion, immigration
   status, sexual identity, martial status / civil partnership)?
   -

   How can these challenges be avoided to ensure a non-discriminatory use
   of AI


   -

   How can clients be involved in AI processes through co-production,
   co-creation or other forms of collaboration?


   -

   What are ethical challenges and potential guard rails and
   recommendations for action for the use of AI?
   -

   What framework conditions (standards, financial support, political
   support and acceptance) are necessary?
   -

   How can professional and executive staff be prepared for AI? How
   can(not) AI be integrated in organisational decision-making processes?
   -

   How can the human-machine interaction be organized, for example in
   digital-automated decision-making?
   -

   How can artificial intelligence be used in human services? What are the
   possibilities and limitations of using artificial intelligence?


   -

   In which areas/areas of application of human services is AI useful (e.g.
   child protection, urban / rural development, healthcare, reducing
   inequalities, environmental protection)?
   -

   What role does data protection and security play?
   -

   How can the use of artificial intelligence be monitored?
   -

   What social impact (e.g., on quality of life, urban development, human
   wellbeing, sustainable development goals) can the use of artificial
   intelligence in human services create? How can this be measured?
   -

   What resources are needed to use artificial intelligence (at all)?


Submission details:


Authors wishing to be considered should submit abstracts of 400 to 500
words by September 1, 2023. Abstracts can be sent to
ai-humanservice-special-issue at fhelists.fh-erfurt.de


The projected timeline for the special issue is as follows:


Publication and submission instructions

https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=wths20

Languages

Only English-language contributions are accepted

Deadline for Abstracts
(approx. 1.500 characters)

September 1, 2023
E-mail address for sending the abstract please see below.

Acceptance decision for abstracts

October 15, 2023

Deadline submission full version

December 31, 2023

1st round of review feedback

March 1, 2024

Resubmissions and 2nd round of reviews

April 1, 2024

Publication date (prior editorial adjustments + approval by authors)

June, 2024


Guest Editors:


Prof. Dr. Michael Garkisch, M.A. - Diploma in Social Pedagogy (University
of Applied Sciences)
University of Applied Sciences Erfurt (Germany), Professor for Social
Business Management
Fellow for Innovation in Digital Academic Teaching Stiftververband Germany

Dr. Joss Steinke
German Red Cross Secretariat-General, Berlin (Germany)
Head of Youth and Social Welfare Work

Prof. Dr. Olivier Steiner

Professorship "Living conditions and cultures of children, young people and
families"

University of Applied Sciences and Arts Northwestern Switzerland, Windisch
(Switzerland)

Dr. Carolin Thiem
VDI/VDE Innovation und Technik GmbH & Institute for Innovation and
Technology, Berlin (Germany)
Senior Scientific Consultant/Project Lead

Dr. Anica Zeyen

Royal Holloway University London (UK), Senior Lecturer in Entrepreneurship
and Sustainability
Vice Dean Equality, Diversity and Inclusion
Visiting Scholar, Department for Psychology, Faculty of Humanitites,
University of Johannesburg (Southafrica).
_________________________________________
Lauri Goldkind, PhD ~Editor in Chief, Journal of Technology in Human
Services <https://www.tandfonline.com/toc/wths20/current>
<https://www.datajusticecollective.org>
Associate Professor, Graduate School of Social Service, Fordham
Platform Therapy
<https://theconversation.com/therapy-on-the-go-mildly-depressed-or-simply-stressed-people-are-tapping-apps-for-mental-health-care-178389>
http://www.laurigoldkind.net/
Labor Tech Research Network <http://labortechresearchnetwork.org/>

“Insanity is the only sane reaction to an insane society.”
― Thomas Stephen Szasz

*Illegitimi non carborundum*