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 …
systemic discrimination in automated decision‐making, providing opportunities to improve …
Thinking responsibly about responsible AI and 'the dark side'of AI
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 …
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
In algorithmic work, algorithms execute operational and management tasks such as work
allocation, task tracking and performance evaluation. Humans and algorithms interact with …
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 …
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
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 …
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
Recent advances in artificial intelligence (AI), especially in generative language modelling,
hold the promise of transforming government. Given the advanced capabilities of new AI …
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 …
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 …
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 …
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 …
risking harm to individuals or groups. This study addresses this concerning phenomenon …