[HTML][HTML] Digital governance: A conceptual framework and research agenda

M Hanisch, CM Goldsby, NE Fabian… - Journal of Business …, 2023 - Elsevier
The rapid expansion of digital technologies has paved the way for new forms of organizing,
facilitated by increased data and knowledge exchange between individuals and …

A sociotechnical view of algorithmic fairness

M Dolata, S Feuerriegel… - Information Systems …, 2022 - Wiley Online Library
Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates
systemic discrimination in automated decision‐making, providing opportunities to improve …

[HTML][HTML] Ethical considerations of using ChatGPT in health care

C Wang, S Liu, H Yang, J Guo, Y Wu, J Liu - Journal of Medical Internet …, 2023 - jmir.org
ChatGPT has promising applications in health care, but potential ethical issues need to be
addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from …

Thinking responsibly about responsible AI and 'the dark side'of AI

P Mikalef, K Conboy, JE Lundström… - European Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) has been argued to offer a myriad of improvements in how we work
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …

Corporate digital responsibility in service firms and their ecosystems

J Wirtz, WH Kunz, N Hartley… - Journal of Service …, 2023 - journals.sagepub.com
Digitization, artificial intelligence, and service robots carry serious ethical, privacy, and
fairness risks. Using the lens of corporate digital responsibility (CDR), we examine these …

[HTML][HTML] The risks of using ChatGPT to obtain common safety-related information and advice

O Oviedo-Trespalacios, AE Peden, T Cole-Hunter… - Safety science, 2023 - Elsevier
ChatGPT is a highly advanced AI language model that has gained widespread popularity. It
is trained to understand and generate human language and is used in various applications …

Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods

TP Pagano, RB Loureiro, FVN Lisboa… - Big data and cognitive …, 2023 - mdpi.com
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and
free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and …

Algorithms as co‐workers: Human algorithm role interactions in algorithmic work

M Tarafdar, X Page, M Marabelli - Information Systems Journal, 2023 - Wiley Online Library
In algorithmic work, algorithms execute operational and management tasks such as work
allocation, task tracking and performance evaluation. Humans and algorithms interact with …

Explainable AI for operational research: A defining framework, methods, applications, and a research agenda

KW De Bock, K Coussement, A De Caigny… - European Journal of …, 2023 - Elsevier
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Future directions for scholarship on data governance, digital innovation, and grand challenges

E Davidson, L Wessel, JS Winter, S Winter - Information and Organization, 2023 - Elsevier
This introduction to the special issue on Data Governance, Digital Innovation, and Grand
Challenges highlights the importance of data governance when seeking to address grand …