| Inter-Pillar Relationships |
| Pillar: Operational Integrity |
|
Governance vs. Robustness |
■ Reinforcing
|
Governance frameworks support robustness by establishing guidelines to ensure AI systems are resilient and reliable
(Batool et al., 2023 )
|
AI governance mandates robustness assurance in healthcare to ensure reliable system performance under varying conditions
(Bullock et al., 2024 )
|
|
Governance vs. Interpretability |
■ Reinforcing
|
Governance supports interpretability by enforcing standards to ensure AI systems are understandable and transparent
(Bullock et al., 2024 )
|
AI regulations mandate interpretability to validate algorithmic outputs, ensuring systems comply with governance frameworks
(Bullock et al., 2024 )
|
|
Explainability vs. Governance |
■ Reinforcing
|
Explainability enhances governance by providing insights needed for informed oversight and decision-making
(Bullock et al., 2024 )
|
In regulatory contexts, clear AI explanations help policymakers ensure compliance and adapt regulations effectively
(Bullock et al., 2024 )
|
|
Governance vs. Security |
■ Reinforcing
|
Governance strengthens security by setting protocols and standards to protect against AI threats
(Bullock et al., 2024 )
|
Governance mandates security audits in AI deployments to ensure adherence to best practices and protocols
(Habbal et al., 2024 )
|
|
Governance vs. Safety |
■ Reinforcing
|
Governance frameworks enhance safety by establishing standards ensuring AI operational integrity and harm prevention
(Bullock et al., 2024 )
|
AI governance mandates safety protocols in autonomous vehicles to prevent malfunctions and accidents
(Fjeld et al., 2020 )
|
| Cross-Pillar Relationships |
| Pillar: Ethical Safeguards vs. Operational Integrity |
|
Fairness vs. Governance |
■ Reinforcing
|
Governance ensures fairness by establishing regulatory frameworks that guide AI systems towards unbiased practices
(Cath, 2018 )
|
The EU AI Act mandates fairness algorithms under governance to prevent discrimination in employment
(Cath, 2018 )
|
|
Governance vs. Inclusiveness |
■ Reinforcing
|
Governance frameworks establish inclusive participation, ensuring representation of various groups in AI decision-making
(Bullock et al., 2024 )
|
Governance mandates diverse stakeholder involvement to ensure inclusiveness in AI policy development
(Zowghi & Da Rimini, 2024 )
|
|
Bias Mitigation vs. Governance |
■ Reinforcing
|
Governance frameworks regularly incorporate bias mitigation strategies, reinforcing ethical AI implementation
(Ferrara, 2024 )
|
AI governance policies in finance often include bias audits, ensuring ethical compliance
(Ferrara, 2024 )
|
|
Accountability vs. Governance |
■ Reinforcing
|
Governance frameworks incorporate accountability to ensure decisions in AI systems are monitored, traceable, and responsibly managed
(Bullock et al., 2024 )
|
An AI firm employs governance logs to ensure accountable decision-making, facilitating regulatory compliance and stakeholder trust
(Dubber et al., 2020 )
|
|
Governance vs. Privacy |
■ Tensioned
|
Governance mandates can challenge privacy priorities, as regulations may require data access contrary to privacy safeguards
(Mittelstadt, 2019 )
|
Regulatory monitoring demands could infringe on personal privacy by requiring detailed data disclosures for compliance
(Solow-Niederman, 2022 )
|
| Pillar: Operational Integrity vs. Societal Empowerment |
|
Governance vs. Sustainability |
■ Reinforcing
|
Governance establishes guidelines supporting sustainable AI practices, ensuring long-term societal and environmental benefits
(Schmidpeter & Altenburger, 2023 )
|
Sustainability standards mandated by governance frameworks ensure energy-efficient AI development and deployment practices
(van Wynsberghe, 2021 )
|
|
Governance vs. Human Oversight |
■ Reinforcing
|
Governance frameworks guide human oversight, ensuring responsible decision-making, enhancing effective AI system regulation
(Bullock et al., 2024 )
|
Regulations require human oversight for AI use in healthcare, ensuring ethical decisions aligned with governance mandates
(Yeung et al., 2019)
|
|
Governance vs. Transparency |
■ Reinforcing
|
Governance frameworks enhance transparency, mandating disclosure and open practices to ensure accountability in AI systems
(Bullock et al., 2024 )
|
Governance laws requiring transparent AI audits bolster accountability, fostering public trust in government-aligned AI use
(Batool et al., 2023 )
|
|
Governance vs. Trustworthiness |
■ Reinforcing
|
Governance frameworks bolster trustworthiness by implementing mechanisms ensuring AI systems adhere to ethical principles
(Gillis et al., 2024 )
|
Trustworthiness in AI is strengthened by governance-mandated transparency and accountability standards
(Bullock et al., 2024 )
|
RAISEF
