Special Issue in Information Systems Frontiers
CALL FOR PAPERS
Special Issue on: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
Artificial Intelligence (AI) and business analytics create opportunities and unintended or
negative consequences for individuals and society (cf. Ransbotham et al., 2016; Majchrzak
et al., 2016). These opportunities and consequences have not been evenly distributed.
Despite the many personal, economic, and societal benefits offered by AI and analytics, their
use raises a variety of ethical concerns. Ethics permeates the entire analytics process, from
what data to use, to how to represent the extracted knowledge and exploit the insights to
create economic and social value. Ethical concerns (i.e., illegitimate surveillance, invasion of
privacy, unemployment, malicious use etc.) are frequently used to portray AI and analytics as
‘a danger to humanity’. These concerns warrant the attention of the academic community to
ensure the information society is built on a foundation in which integrity and rigour for good
science will promote quality systems and good ethics will promote good professional practice
(Calzarossa et al., 2009). Hence, in order to be able to practice in an ethical manner,
professionals must see vistas beyond technology (Stoodley et al., 2009).
At the same time, AI and analytics has opened new domains of exclusion and privilege for
some, leaving some individuals and communities excluded from the digitized society. For
example, digital exclusion is part of the overall challenge of exclusion, a growing
phenomenon which carries with it a series of deteriorations in life paths (i.e., poor lifelong
earnings and an increased risk of marginalisation).
AI and business analytics have received signification attention from the academic community.
However, their value and benefits to business and society as a whole still remain largely
unexplored, with many questions being unanswered regarding their role in an ethical and
inclusive digitized society. This special issue aims to add in this direction and therefore we
are interested in studies using any of the full range of investigative methodologies qualitative
and quantitative, with raw data and/or data collected by surveys, experiments, interviews,
observations, and so forth. We welcome the spectrum philosophical approaches, from
positivist to interpretivist. As we see this as an emerging area of inquiry, we are particularly
interested in theory-building studies and empirical-based frameworks related to how we can
assess the responsible use of AI and Analytics.
This Special Issue aims to bring together contributions from a variety of perspectives,
disciplines and communities for the advancement of knowledge regarding responsible AI and
Analytics for an ethical and inclusive digitized society. Some organizations focus on driving
business value and keeping ahead of competitors. At the same time others can have a view
of facilitating societal change, generating value that impacts both them and the society
overall. We seek interdisciplinary papers that can bridge various domains including
information systems, organizational science, strategic management, and information science.
Topics of submission include, but are not limited to:
Societal impact of AI and Analytics
- AI and the future of work
- AI and the future of work
- Ethical issues related to AI and Analytics
- Strategies (e.g. best practices, policies, and governance mechanisms) for addressing the unintended consequences of AI and Analytics
- Implications of collaborative analytics in a digitized society
- The role of AI and Analytics in social and educational inclusion/exclusion
- The role of AI and Analytics in fraud detection and other illegal activities
- Methods, approaches and frameworks to assess the ethical use of AI and Analytics
Forms of Submission
This Special Issue will consist of: (1) the best submissions from an open Call for Papers,
selected on a competitive basis; and (2) invited papers that are extended or modified
versions of selected papers accepted at the 20th IFIP I3E Conference on e-Business, eServices and e-Society (I3E2021) (www.I3E2021.com), Galway, Ireland. In the latter case,
the submission will be a substantial revision of the conference publication, and the authors
will be required to submit a letter detailing the difference between their conference paper and
the new version. All submitted papers and invited papers will go through peer review; if an
invited conference paper does not receive a satisfactory review, the paper will not be
considered for the Special Issue.
Manuscripts must be submitted in PDF format to the ISF-Springer online submission system
at https://www.editorialmanager.com/isfi and the authors need to select "Special Issue:
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society" during the
submission process. Paper submissions must conform to the format guidelines of Information
Systems Frontiers available at https://www.springer.com/journal/10796/submissionguidelines.
Submissions should be approximately 32 pages double spaced including references.
Submission deadline: 31st October 2021
Notification of first round reviews: 13th December 2021
Revised Manuscripts due: 31st January 2022
Notification of second round reviews: 14th March 2022
Final Version Due: 25th April 2022
Denis Dennehy, National University of Ireland Galway, Ireland
Anastasia Griva, National University of Ireland Galway, Ireland
Nancy Pouloudi, Athens University of Economics and Business, Greece
Yogesh K Dwivedi, Swansea University, UK
Matti Mäntymäki, University of Turku, Finland
Ilias Pappas, University of Agder, Norway
Calzarossa, M. C., De Lotto, I., & Rogerson, S. (2010). Ethics and information systems—
Guest editors’ introduction. Information Systems Frontiers, 12(4), 357-359.
Ransbotham, S., Fichman, R.G., Gopal, R., & Gupta, A. (2016). Special section introduction -
ubiquitous IT and digital vulnerabilities. Information Systems Research, 27(4), pp.834-
Stoodley, I., Bruce, C., & Edwards, S. (2010). Expanding ethical vistas of IT
professionals. Information Systems Frontiers, 12(4), 379-387.
Majchrzak, A., Markus, M.L., & Wareham, J. (2016). Designing for digital transformation:
Lessons for information systems research from the study of ICT and societal
challenges. MIS Quarterly, 40(2), pp.267-277.
For more information please visit: https://www.journals.elsevier.com/technological-forecasting-and-social-change/call-for-papers/artificial-intelligence-as-an-enabler-for-innovation.