Governance in Ethical, Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP
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
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.
Executive Summary
The article 'Governance in Ethical, Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP' explores the integration of information governance practices with AI ethics principles to enhance the robustness of AI ethical design and development tools. The study uses ECCOLA, a tool for ethical AI software development, as a case study and critically analyzes its AI ethics principles with the Generally Accepted Recordkeeping principles (GARP®). The findings suggest that ECCOLA's robustness can be improved by adapting it with information governance practices of retention and disposal, leading to the proposal of a new governance theme and card, #21. The article highlights the need for adaptive governance to address the limitations of relying solely on AI ethics principles for AI governance.
Key Points
- ▸ The study combines AI ethics principles with information governance practices to improve the robustness of AI ethical design and development tools.
- ▸ ECCOLA is used as a case study to analyze the integration of GARP® IG practices with AI ethics principles.
- ▸ The findings propose a new governance theme and card, #21, for ECCOLA to enhance its robustness.
- ▸ Adaptive governance is suggested as a means to address the limitations of relying solely on AI ethics principles for AI governance.
Merits
Comprehensive Analysis
The article provides a thorough analysis of the integration of information governance practices with AI ethics principles, offering a comprehensive approach to improving the robustness of AI ethical design and development tools.
Practical Application
The study uses ECCOLA as a case study, demonstrating the practical application of the proposed integration of GARP® IG practices with AI ethics principles.
Innovative Proposal
The article proposes a new governance theme and card, #21, which adds value to the existing ECCOLA framework and enhances its effectiveness.
Demerits
Limited Scope
The study focuses solely on the ECCOLA tool, which may limit the generalizability of the findings to other AI ethical design and development tools.
Lack of Empirical Evidence
The article does not provide empirical evidence to support the proposed integration of GARP® IG practices with AI ethics principles, which could strengthen the validity of the findings.
Complexity of Implementation
The proposed integration of information governance practices with AI ethics principles may be complex to implement, requiring significant resources and expertise.
Expert Commentary
The article 'Governance in Ethical, Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP' makes a significant contribution to the field of AI governance by exploring the integration of information governance practices with AI ethics principles. The study's comprehensive analysis of the ECCOLA tool and its proposal for a new governance theme and card, #21, demonstrate the practical application of the proposed integration. However, the study's limited scope and lack of empirical evidence may limit the generalizability of the findings. The article's emphasis on adaptive governance highlights the need for flexible and adaptive governance frameworks in AI ethical design and development. The practical and policy implications of the study underscore the importance of integrating information governance practices with AI ethics principles in developing more robust and trustworthy AI systems.
Recommendations
- ✓ Conduct further research to validate the proposed integration of GARP® IG practices with AI ethics principles through empirical studies.
- ✓ Expand the scope of the study to include other AI ethical design and development tools to enhance the generalizability of the findings.
- ✓ Develop practical guidelines and frameworks for implementing the proposed integration of information governance practices with AI ethics principles in AI ethical design and development.