Responsibly strategizing with the metaverse: Business implications and DEI opportunities and challenges
M Marabelli, S Newell - The Journal of Strategic Information Systems, 2023 - Elsevier
This viewpoint article aims to lay out the foundations for IS research on the strategic
implications as well as diversity, equity, and inclusion (DEI) opportunities and challenges of …
implications as well as diversity, equity, and inclusion (DEI) opportunities and challenges of …
[HTML][HTML] The public perceptions of algorithmic decision-making systems: Results from a large-scale survey
Algorithmic decision-making (ADM) systems are heavily used by businesses, governments,
and the nonprofit sector. Their adoption by the public is important for their optimal …
and the nonprofit sector. Their adoption by the public is important for their optimal …
Toward a better digital future: Balancing the utopic and dystopic ramifications of digitalization
S Chatterjee, S Sarker - The Journal of Strategic Information Systems, 2024 - Elsevier
This paper discusses two opposing narratives of digitalization. Both these narratives are
found in existing literature, and the paper understands them as the utopic and dystopic …
found in existing literature, and the paper understands them as the utopic and dystopic …
Exploring the social and technical factors in organisational AI adoption: a systematic literature review
Embedding artificial intelligence as part of an organisation's analytics portfolio can lead to
better data-driven business insight, optimised IT systems for greater reliability, and new AI …
better data-driven business insight, optimised IT systems for greater reliability, and new AI …
Reducing the incidence of biased algorithmic decisions through feature importance transparency: an empirical study
S Ebrahimi, E Abdelhalim, K Hassanein… - European Journal of …, 2024 - Taylor & Francis
As firms move towards data-driven decision-making using algorithmic systems, concerns are
raised regarding the lack of transparency of these systems which could have ramifications …
raised regarding the lack of transparency of these systems which could have ramifications …
Feels Like Empathy: How “Emotional” AI Challenges Human Essence
A Chen, O Hannon, S Koegel… - … Conference on Information …, 2024 - papers.ssrn.com
As global loneliness intensifies alongside rapid AI advancements, artificial emotional
intelligence (AEI) presents itself as a paradoxical solution. This study examines the rising …
intelligence (AEI) presents itself as a paradoxical solution. This study examines the rising …
Just Because We Can, Doesn't Mean We Should: Algorithm Aversion as a Principled Resistance
O Hannon, R Ciriello, U Gal - 2024 - scholarspace.manoa.hawaii.edu
This paper problematizes the literature on the non-use of algorithmic decision-making
systems (ADMS), commonly examined as algorithm aversion. Whilst prior literature attributes …
systems (ADMS), commonly examined as algorithm aversion. Whilst prior literature attributes …
La perspectiva ética en la literatura científica relacionada con datificación educativa: una revisión sistemática
EDLI Ganboa, AA Sagasta - Edutec, Revista Electrónica de Tecnología …, 2023 - edutec.es
La combinación de educación y tecnología presenta una variedad de dilemas éticos y
morales que no podemos ignorar más. El desarrollo tecnológico y digital basado en la …
morales que no podemos ignorar más. El desarrollo tecnológico y digital basado en la …
Designing a Technical Framework for Enabling Enterprise AI Adoption
Despite the obvious benefits of AI adoption, organisations are often hesitant to pursue these
technologies. Although this hesitation can be attributed to many factors, one of the most …
technologies. Although this hesitation can be attributed to many factors, one of the most …
Responding to Paradoxical Organisational Demands for AI-Powered Systems considering Fairness
Developing and maintaining fair AI is increasingly in demand when unintended ethical
issues contaminate the benefits of AI and cause negative implications for individuals and …
issues contaminate the benefits of AI and cause negative implications for individuals and …