Ethical framework for Artificial Intelligence and Digital technologies
By Mona Ashok, Rohit Madan, Anton Joha, Uthayasankar Sivarajah. International Journal of Information Management, 2022
373 citations recorded by the source corpus.
The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a profound socio-technical transformation. Governments and AI scholarship have endorsed key AI principles but lack direction at the implementation level. Through a systematic literature review of 59 papers, this paper contributes to the critical debate on the ethical use of AI in DTs beyond high-level AI principles. To our knowledge, this is the first paper that identifies 14 digital ethics implications for the use of AI in seven DT archetypes using a novel ontological framework (physical, cognitive, information, and governance). The paper presents key findings of the review and a conceptual model with twelve propositions highlighting the impact of digital ethics implications on societal impact, as moderated by DT archetypes and mediated by organisational impact. The implications of intelligibility, accountability, fairness, and autonomy (under the cognitive domain), and privacy (under the information domain) are the most widely discussed in our sample. Furthermore, ethical implications related to the governance domain are shown to be generally applicable for most DT archetypes. Implications under the physical domain are less prominent when it comes to AI diffusion with one exception (safety). The key findings and resulting conceptual model have academic and professional implications.
Subfields: Cognitive Neuroscience, Safety Research
View Paper: https://www.semanticscholar.org/paper/65ada5eec961b70a495640ada0efb58a1e70d667
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In Safety Research
Citations in the corpus
- The ethics of ChatGPT - Exploring the ethical issues of an emerging technology (2024, background): “While there is a relatively settled landscape of research on the ethics of emerging technologies as outlined above, the same cannot be said about the ethics of AI (Ashok et al., 2022; Dwivedi et al., 2019).”
- AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022, neutral): “Madan and Ashok (2022) ’ s cross-case analysis highlights the scarcity of research on the implementation and use of AI within governments.”
- Ethical principles for artificial intelligence in education (2022, background): “A recurring theme across AI policies is the issue of governance and stewardship of AIED (Ashok et al., 2022 ).”