Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders
J Laine, M Minkkinen, M Mäntymäki - Information & Management, 2024 - Elsevier
This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …
E-commerce and consumer behavior: A review of AI-powered personalization and market trends
In the dynamic landscape of electronic commerce (e-commerce), understanding and
adapting to evolving consumer behavior is critical for the sustained success of online …
adapting to evolving consumer behavior is critical for the sustained success of online …
Auditing large language models: a three-layered approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …
research. However, the widespread use of LLMs is also coupled with significant ethical and …
[HTML][HTML] AI recognition of patient race in medical imaging: a modelling study
Background Previous studies in medical imaging have shown disparate abilities of artificial
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …
[HTML][HTML] Artificial intelligence and knowledge management: A partnership between human and AI
Emerging artificial intelligence (AI) capabilities will likely pervade nearly all organizational
contours and activities including knowledge management (KM). This article aims to uncover …
contours and activities including knowledge management (KM). This article aims to uncover …
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
S Costanza-Chock, ID Raji, J Buolamwini - Proceedings of the 2022 …, 2022 - dl.acm.org
Algorithmic audits (or 'AI audits') are an increasingly popular mechanism for algorithmic
accountability; however, they remain poorly defined. Without a clear understanding of audit …
accountability; however, they remain poorly defined. Without a clear understanding of audit …
Algorithms as work designers: How algorithmic management influences the design of jobs
X Parent-Rocheleau, SK Parker - Human resource management review, 2022 - Elsevier
We review the literature on algorithmic management (AM) to bridge the gap between this
emerging research area and the well-established theory and research on work design. First …
emerging research area and the well-established theory and research on work design. First …
Auditing algorithms: Understanding algorithmic systems from the outside in
Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …
gatekeepers for users accessing or sharing information about virtually any topic, including …
Conformity assessments and post-market monitoring: a guide to the role of auditing in the proposed European AI regulation
J Mökander, M Axente, F Casolari, L Floridi - Minds and Machines, 2022 - Springer
Abstract The proposed European Artificial Intelligence Act (AIA) is the first attempt to
elaborate a general legal framework for AI carried out by any major global economy. As …
elaborate a general legal framework for AI carried out by any major global economy. As …
Ethics-based auditing of automated decision-making systems: Nature, scope, and limitations
Important decisions that impact humans lives, livelihoods, and the natural environment are
increasingly being automated. Delegating tasks to so-called automated decision-making …
increasingly being automated. Delegating tasks to so-called automated decision-making …