scholarly journals How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies

2021 ◽  
Vol 173 ◽  
pp. 121081
Author(s):  
Cristina Trocin ◽  
Ingrid Våge Hovland ◽  
Patrick Mikalef ◽  
Christian Dremel
Keyword(s):  
Artificial Intelligence ◽  
Case Analysis ◽  
Digital Innovation ◽  
Cross Case Analysis

scholarly journals Organisational responses to the ethical issues of artificial intelligence

AI & Society ◽  
2021 ◽  
Author(s):  
Bernd Carsten Stahl ◽  
Josephina Antoniou ◽  
Mark Ryan ◽  
Kevin Macnish ◽  
Tilimbe Jiya
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Ethical Issues ◽  
Case Analysis ◽  
Mitigation Strategies ◽  
Current Debate ◽  
Ai Ethics ◽  
The Cross ◽  
Cross Case Analysis ◽  
Conceptual Work

AbstractThe ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our current understanding of how organisations deal with AI ethics by presenting empirical findings collected using a set of ten case studies and providing an account of the cross-case analysis. The paper reviews the discussion of ethical issues of AI as well as mitigation strategies that have been proposed in the literature. Using this background, the cross-case analysis categorises the organisational responses that were observed in practice. The discussion shows that organisations are highly aware of the AI ethics debate and keen to engage with ethical issues proactively. However, they make use of only a relatively small subsection of the mitigation strategies proposed in the literature. These insights are of importance to organisations deploying or using AI, to the academic AI ethics debate, but maybe most valuable to policymakers involved in the current debate about suitable policy developments to address the ethical issues raised by AI.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

The Algorithm of Case-Searching Based on AHP Application

2014 ◽  
Vol 513-517 ◽  
pp. 2416-2419
Author(s):  
Cai Xia Wang ◽  
Ning Liu
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Case Management ◽  
Critical Case ◽  
Case Analysis ◽  
Basic Function ◽  
Knowledge Management System ◽  
Teaching Case ◽  
Trained Teachers ◽  
Case Reasoning

The knowledge management system of teaching case corpus adopts case reasoning technology in the field of artificial intelligence. The whole system includes altogether ten modules. They are case uploading, case modification, case analysis, case algorithm and critical case management. The basic function is to assist the trained teachers to get the teaching case knowledge from other teachers, so as to develop teachersspecialty. In the module of case algorithm , in the application of the algorithm of case-searching based on AHP, the case needed by the users can be sorted out in an objective and fair way.

A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

2021 ◽  
Vol 49 ◽  
pp. 100788
Author(s):  
Kaire Kollom ◽  
Kairit Tammets ◽  
Maren Scheffel ◽  
Yi-Shan Tsai ◽  
Ioana Jivet ◽  
...  
Keyword(s):  
Higher Education ◽  
Learning Analytics ◽  
Academic Staff ◽  
Case Analysis ◽  
Cross Case Analysis

scholarly journals Cycling Through Cancer: Exploring Childhood Cancer Survivors’ Experiences of Well- and Ill-Being

2017 ◽  
Vol 34 (4) ◽  
pp. 345-361 ◽  
Author(s):  
Shaunna M. Burke ◽  
Jennifer Brunet ◽  
Amanda Wurz ◽  
Christina Butler ◽  
Andrea Utley
Keyword(s):  
Cancer Survivors ◽  
Childhood Cancer ◽  
Case Analysis ◽  
Childhood Cancer Survivors ◽  
Study Approach ◽  
Multiple Case ◽  
Multiple Domains ◽  
Physical Changes ◽  
Cross Case Analysis ◽  
The Impact

The benefits of informal physical activity during recovery from childhood cancer have rarely been investigated. This study adopted a multiple case study approach to explore the impact of recreational cycling on childhood cancer survivors’ experiences of well- and ill-being. Three semistructured interviews were conducted over a 3-month period with four survivors to explore their experiences of physical, psychological, and social well- and ill-being. Within-case analysis followed by cross-case analysis identified three themes that captured their well- and ill-being experiences with recreational cycling and cancer: (a) cultivating feelings and emotions, (b) experiencing physical changes, and (c) encountering positive and negative social interactions. The results from this study show that recreational cycling may be a useful adjunct to conventional treatments for the self-management of multiple domains of well- and ill-being during recovery from childhood cancer.

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