Maturity of Artificial Intelligence in SMEs: Privacy and Ethics Dimensions

Schuster, Thomas; Waidelich, Lukas

doi:10.1007/978-3-031-14844-6_22

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Stahl et al (2018) suggested responsible research and innovation (RRI) as a framing concept for socially acceptable technologies. Schuster (2022) proposed the deployment of AI-based maturity models to enhance privacy protection.…”

Section: Privacy Protection In the Age Of Aimentioning

confidence: 99%

AI Ethics

Gao,

Haverly,

Mittal

et al. 2024

International Journal of Business Analytics

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Artificial intelligence (AI) ethics has emerged as a burgeoning yet pivotal area of scholarly research. This study conducts a comprehensive bibliometric analysis of the AI ethics literature over the past two decades. The analysis reveals a discernible tripartite progression, characterized by an incubation phase, followed by a subsequent phase focused on imbuing AI with human-like attributes, culminating in a third phase emphasizing the development of human-centric AI systems. After that, they present seven key AI ethics issues, encompassing the Collingridge dilemma, the AI status debate, challenges associated with AI transparency and explainability, privacy protection complications, considerations of justice and fairness, concerns about algocracy and human enfeeblement, and the issue of superintelligence. Finally, they identify two notable research gaps in AI ethics regarding the large ethics model (LEM) and AI identification and extend an invitation for further scholarly research.

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Section: Privacy Protection In the Age Of Aimentioning

confidence: 99%