Governance in Ethical, Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP

Abstract

Background: The continuous development of artificial intelligence (AI) and increasing rate of adoption by software startups calls for governance measures to be implemented at the design and development stages to help mitigate AI governance concerns. Most AI ethical design and development tools mainly rely on AI ethics principles as the primary governance and regulatory instrument for developing ethical AI that inform AI governance. However, AI ethics principles have been identified as insufficient for AI governance due to lack of information robustness, requiring the need for additional governance measures. Adaptive governance has been proposed to combine established governance practices with AI ethics principles for improved information and subsequent AI governance. Our study explores adaptive governance as a means to improve information robustness of AI ethical design and development tools. We combine information governance practices with AI ethics principles using ECCOLA, a tool for ethical AI software development at the early developmental stages. Aim: How can ECCOLA improve its robustness by adapting it with GARP® IG practices? Methods: We use ECCOLA as a case study and critically analyze its AI ethics principles with information governance practices of the Generally Accepted Recordkeeping principles (GARP®). Results: We found that ECCOLA’s robustness can be improved by adapting it with Information governance practices of retention and disposal. Conclusions: We propose an extension of ECCOLA by a new governance theme and card, # 21.

Qualitative and quantitative analyses of artificial intelligence ethics in education using VOSviewer and CitNetExplorer

“…However, the principles may not be solid enough to deal with developing AI technologies. Information robustness, 10.3389/fpsyg.2023.1061778 Frontiers in Psychology 13 frontiersin.org back-up governance measures, and adaptive governance policies may be necessary to govern the complicated AI ethical problems in education (Agbese et al, 2023).…”

Artificial intelligence governance: Ethical considerations and implications for social responsibility

“…Moreover, they are expected to follow ethical norms, values and standards (Koniakou, 2023). Practitioners ought to be trustworthy, diligent and accountable in how they handle their intellectual capital and other resources including their information technologies, finances as well as members of staff, in order to overcome challenges, minimize uncertainties, risks and any negative repercussions (e.g., decreased human oversight in decision making, among others) (Agbese et al, 2023; Smuha, 2019).…”

“…AI models have to prevent such contingent issues from happening. Their developers' responsibilities are to improve the robustness of their automated systems, and to make them as secure of possible, to reduce the chances of threats, including by inadvertent irregularities, information leakages, as well as by privacy violations like data breaches, contamination and poisoning by malicious actors (Agbese et al, 2023; Hamon et al, 2020).…”