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 …

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 …

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 …

[HTML][HTML] An artificial intelligence life cycle: From conception to production

D De Silva, D Alahakoon - Patterns, 2022 - cell.com
This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …

The role of institutional and self in the formation of trust in artificial intelligence technologies

LW Wong, GWH Tan, KB Ooi, Y Dwivedi - Internet Research, 2024 - emerald.com
Purpose The deployment of artificial intelligence (AI) technologies in travel and tourism has
received much attention in the wake of the pandemic. While societal adoption of AI has …

Artificial intelligence in government: Concepts, standards, and a unified framework

VJ Straub, D Morgan, J Bright, H Margetts - Government Information …, 2023 - Elsevier
Recent advances in artificial intelligence (AI), especially in generative language modelling,
hold the promise of transforming government. Given the advanced capabilities of new AI …

Explainable and interpretable machine learning for antimicrobial stewardship: opportunities and challenges

DR Giacobbe, C Marelli, S Guastavino, S Mora… - Clinical Therapeutics, 2024 - Elsevier
There is growing interest in exploiting the advances in artificial intelligence and machine
learning (ML) for improving and monitoring antimicrobial prescriptions in line with …

Mapping the individual, social and biospheric impacts of Foundation Models

A Domínguez Hernández, S Krishna… - The 2024 ACM …, 2024 - dl.acm.org
Responding to the rapid roll-out and large-scale commercialization of foundation models,
large language models, and generative AI, an emerging body of work is shedding light on …

The connected workplace: Characteristics and social consequences of work surveillance in the age of datification, sensorization, and artificial intelligence

T Mettler - Journal of Information Technology, 2023 - journals.sagepub.com
Because of COVID-19 lockdowns, managers and administrators have begun to look for new
ways to monitor and control their stranded-at-home workforce. Yet long before the pandemic …

[HTML][HTML] Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective

M Ghasemaghaei, N Kordzadeh - Information & Management, 2024 - Elsevier
Unjust algorithmic recommendations can lead decision makers to discriminatory choices,
risking harm to individuals or groups. This study addresses this concerning phenomenon …