| Inter-Pillar Relationships |
| Pillar: Societal Empowerment |
|
Human Oversight vs. Sustainability |
■ Reinforcing
|
Human oversight supports sustainable AI, ensuring ethical standards are achieved, reducing environmental impacts
(Dubber et al., 2020 )
|
AI projects evaluated with human oversight consider sustainability impacts, aligning environmental goals with tech innovations
(Rohde et al., 2023 )
|
|
Human Oversight vs. Transparency |
■ Reinforcing
|
Human oversight and transparency collectively foster accountability, enhancing ethical governance in AI systems
(UNESCO, 2022 )
|
In AI-driven medical diagnostics, both drivers ensure user trust and effective oversight
(Ananny & Crawford, 2018 )
|
|
Human Oversight vs. Trustworthiness |
■ Reinforcing
|
Human oversight enhances AI trustworthiness by ensuring ethical adherence and aligning AI actions with human values
(Dubber et al., 2020 )
|
Continuous human monitoring in secure systems ensures AI actions align with trust standards, boosting user confidence
(Lu et al., 2024 )
|
| Cross-Pillar Relationships |
| Pillar: Ethical Safeguards vs. Societal Empowerment |
|
Fairness vs. Human Oversight |
■ Reinforcing
|
Human oversight supports fairness by ensuring AI decisions reflect equitable practices grounded in human judgment
(Voeneky et al., 2022 )
|
For recruitment AI, human oversight calibrates fairness, reviewing bias mitigation strategies before final implementation
(Bateni et al., 2022 )
|
|
Human Oversight vs. Inclusiveness |
■ Reinforcing
|
Human oversight promotes inclusiveness by ensuring diverse perspectives shape AI ethics and implementation
(Dubber et al., 2020 )
|
Human oversight in AI enhances inclusiveness by involving diverse stakeholder consultations during system development
(Zowghi & Da Rimini, 2024 )
|
|
Bias Mitigation vs. Human Oversight |
■ Reinforcing
|
Human oversight supports bias mitigation by ensuring continual auditing to detect and address biases
(Ferrara, 2024 )
|
In hiring AI, human oversight helps identify bias in training data biases, enhancing fairness
(Ferrara, 2024 )
|
|
Accountability vs. Human Oversight |
■ Reinforcing
|
Accountability necessitates human oversight for ensuring responsible AI operations, requiring active human involvement and supervision
(Leslie, 2019 )
|
AI systems in healthcare employ human oversight for accountable decision-making, preventing potential adverse outcomes
(Novelli et al., 2024 )
|
|
Human Oversight vs. Privacy |
■ Tensioned
|
Human oversight might collide with privacy, requiring access to sensitive data for supervision
(Solove, 2025 )
|
AI deployment often requires human oversight conflicting with privacy norms to evaluate sensitive data algorithms
(Dubber et al., 2020 )
|
| Pillar: Operational Integrity vs. Societal Empowerment |
|
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)
|
|
Human Oversight vs. Robustness |
■ Reinforcing
|
Human oversight strengthens robustness by mitigating risks through active monitoring and intervention
(Tocchetti et al., 2022 )
|
Human oversight ensures robust system behavior during AI deployment in high-stakes environments like aviation
(High-Level Expert Group on Artificial Intelligence, 2020 )
|
|
Human Oversight vs. Interpretability |
■ Reinforcing
|
Human oversight bolsters interpretability by guiding transparency in AI processes, ensuring systems remain clear to users
(Hamon et al., 2020 )
|
Interpretable algorithms in medical AI gain user trust through human-supervised transparency during their development
(Doshi-Velez & Kim, 2017 )
|
|
Explainability vs. Human Oversight |
■ Reinforcing
|
Explainability enhances human oversight by providing clear model outputs, aiding in decision-making accuracy
(UNESCO, 2022 )
|
In healthcare, explainable AI systems allow practitioners to verify treatment recommendations, ensuring oversight
(UNESCO, 2022 )
|
|
Human Oversight vs. Security |
■ Reinforcing
|
Human oversight enhances security by providing checks against unauthorized access and misuse in AI systems
(Lu et al., 2024 )
|
Security protocols are strengthened by human oversight to monitor potential AI system breaches
(Dubber et al., 2020 )
|
|
Human Oversight vs. Safety |
■ Reinforcing
|
Human oversight improves safety by providing necessary monitoring and intervention capabilities in AI operations
(Bullock et al., 2024 )
|
In aviation, human oversight actively ensures safety by intervening during unexpected autonomous system failures
(Williams & Yampolskiy, 2024 )
|
RAISEF
