[AISWorld] Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics: Call for Papers for Information Systems Frontiers

[Sankar Sivarajah]

Dear Colleagues,



Information Systems Frontiers (CABS 3* with 5 Year Impact factor of 3.152) is currently inviting submissions for consideration to a special issue on:



Call Topic: Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics

More details on call for papers: https://drive.google.com/file/d/14jtEfdguRk8a1P202xGPrXePiMDUxlum/view

Paper submissions deadline: 30 September 2020



Special Issue Guest Editors:

* Dr Uthayasankar Sivarajah, School of Management, University of Bradford, UK

* Dr Yichuan Wang, Sheffield University Management School, University of Sheffield, UK

* Dr Hossein Olya, Sheffield University Management School, University of Sheffield, UK

* Mr Sherin Mathew, Analytics and AI Lead, Microsoft GBS UK at IBM & Founder of AI Tech North, UK



Brief Call for paper description:

Responsible AI refers to the integration of ethical and responsible use of AI into the strategic implementation and organisational planning process (Wang et al., 2020). Responsible AI aims at designing and implementing ethical, transparent, and accountable AI solutions that help organisations maintain trust and minimize privacy invasion. Responsible AI places humans (e.g. patients) at the centre and meets stakeholder expectations and applicable regulations and laws. The ultimate goal of responsible AI is to strike a balance between satisfying patient needs with the responsible use of AI and attaining long-term economic value for healthcare organizations. Despite its importance for organisation prosperity and the significant attention devoted to it, Responsible AI use in healthcare is still in its infancy.  Current research on the use of AI mainly focuses on the technological understanding of its implementation and exploring the economic value of AI applications. The practice, mechanism, infrastructure and ecosystem supporting responsible AI use for healthcare is lacking. Thus, there is an urgent need to develop research in AI for healthcare from the social responsibility perspective that would turn the ethical considerations from a barrier to an opportunity as it improves trust and engagement of patients. Understanding the role of responsible AI use in creating value in healthcare is not only contributing to an emerging information systems (IS) research field, but also provides practical recommendations for healthcare practitioners. As such, this special issue welcomes submissions from multiple disciplines including information systems, digital health, medical analytics, marketing, operations, computer science, psychology, and sociology. All methodological approaches (empirical, analytical, or conceptual) that create new insights for a deeper understanding of responsible AI are welcome.



Some of the indicative topics include but are not limited to the following:

* Development of responsible AI for evidence-based medicine

* How can AI techniques be applied to increase the economic, social, sustainable impact in healthcare?

* How can AI tools improve social impacts by reinforcing the regulations in tackling irresponsible medical practices in the digital world?

* Exploring the governance, legal, ethical and privacy issues for AI use in healthcare

* Organisational strategies and best practices for responsible AI in healthcare

* The design of AI applications for socially responsible healthcare organization

* The adoption and implementation of responsible AI in healthcare




Submission Guideline:
* Papers submitted to the special issue will be subject to the Journal review process and submission guidelines.

* Submission of extended abstracts: Due 31 March 2020
Submission of an extended abstract is not compulsory to the full paper submission, but it is highly encouraged. Extended abstracts must not exceed 1500 words or 6 double-spaced pages. The page limit includes everything - the cover page (which contains the title, abstract and keywords), all text, figures, tables, references, and appendices. Extended abstracts will be reviewed only by the guest editors. Authors can submit the extended abstract to the guest editors, which will be open from 1 March to 31 March 2020.

All authors submitting an extended abstract will be invited to attend an invitation-only workshop to be held at the International Conference on Digital Health and Medical Analytics (DHA 2020) in Beijing, China (1-3 July 2020). Constructive feedback will be provided on each presentation in the conference workshop. The workshop on responsible AI will aim to develop the papers further and use presentations and panels to invite dialog on the best way to develop and review all the papers submitted to make it the strongest special issue possible.

* Full Paper submission: Due 30 September 2020
Full papers are due September 30, 2020, via the Information Systems Frontiers submission system. All papers must be submitted to the Special Issue: "Responsible AI for Digital Health and Medical Analytics" category.

Kind regards,
Sankar

Dr Uthayasankar Sivarajah BSc (Hons), MSc, PhD, FHEA, MCILT
Head of School of Management (Interim)
Head of Business Analytics, Circular Economy and Supply Chain (BACES) Research Centre
Reader, Technology Management and Circular Economy
Faculty of Management, Law and Social Sciences
Richmond Rd, Bradford, West Yorkshire, BD7 1DP (UK)
Tel: +44 (0)1274 234496
Tweet: @sankarsivarajah
Web: https://www.brad.ac.uk/management/

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