The Fifteen
These are the 15 highest-priority ethical values identified by the AI Moral Code framework. Each is scored, weighted, and mapped to its corresponding ethical domain in the NRBC architecture. This table provides a foundational layer for design, audit, simulation, and cross-sector governance.
1. Justice
Score: 2.21 | Weight: 0.66
NRBC Alignment: [Not specified]
Definition: [Definition not included]
Sectors Covered: [Not available]
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2. Transparency
Score: 2.06 | Weight: 1.0
| NRBC Alignment: Canonical Value | Moral Drive of Accountability and Trust |
Definition: Transparency is the ethical and procedural commitment to making information, decisions, intentions, and systems visible, comprehensible, and reviewable to relevant stakeholdersā¦
Sectors Covered: Government, Industry, NGOs, Education/Research, Religious Organizations
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3. Responsibility
Score: 1.88 | Weight: 0.33
| NRBC Alignment: Canonical Value | Regulatory and Behavioral Drive |
Definition: Responsibility refers to the obligation of agentsāhuman or artificialāto account for their actions, outcomes, and influenceā¦
Sectors Covered: Government, Industry, Academia
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4. Non-Maleficence
Score: 1.79 | Weight: 1.0
| NRBC Alignment: Canonical Value | Normative Foundation of Safety and Precaution |
Definition: Non-Maleficence is the principle of ādo no harm.ā In AI systems, it guides safety constraints, precautionary design, and harm-avoidance in autonomous and high-stakes environmentsā¦
Sectors Covered: Healthcare, Military, Transportation
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5. Inclusivity
Score: 1.65 | Weight: 0.33
| NRBC Alignment: Canonical Value | Social Ethics Drive |
Definition: Inclusivity is the proactive effort to ensure representation, access, and participation across diverse populationsā¦
Sectors Covered: Education, NGOs, Technology
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6. Trust
Score: 1.43 | Weight: 0.33
| NRBC Alignment: Canonical Value | Relational and Trustworthiness Norm |
Definition: Trust involves justified reliance on an entityās competence, intention, and consistency. In AI, it relates to user confidence in system reliability, predictability, and alignment with human values.
Sectors Covered: [TBD]
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7. Ethical Responsibility
Score: 1.36 | Weight: 0.66
| NRBC Alignment: Canonical Value | Meta-Governance and Lifecyce Justification |
Definition: Ethical Responsibility captures the duty to act in morally appropriate ways within the lifecycle of AI. This includes ethical design, deployment, oversight, and decision justification across all actors and stages.
Sectors Covered: [TBD]
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8. Privacy
Score: 1.29 | Weight: 0.66
| NRBC Alignment: Canonical Value | Privacy Ethics Foundation and System Boundary Enforce |
Definition: Privacy is the right to control personal information and be protected from unwarranted surveillance. In AI ethics, it frames data minimization, consent-based models, and protection against profiling and behavioral inference.
Sectors Covered: [TBD]
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9. Innovation
Score: 1.15 | Weight: 0.66
| NRBC Alignment: Canonical Value | Conceptual and System-Level Driver |
Definition: Innovation is the value that drives creative transformation, progress, and responsible experimentation. In AI, it supports the ethical exploration of new capabilities while ensuring alignment with societal values and human oversight.
Sectors Covered: [TBD]
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10. Sustainability
Score: 1.07 | Weight: 0.66
| NRBC Alignment: Canonical Value | Environmental and Futures Alignment Layer |
Definition: Sustainability ensures that the development, deployment, and impact of AI systems preserve ecological, economic, and social viability over time. It guides long-term thinking, resource stewardship, and intergenerational responsibility.
Sectors Covered: [TBD]
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11. Dignity
Score: 1.01 | Weight: 0.66
| NRBC Alignment: Canonical Value | Identity and Dignity Protection Layer |
Definition: Dignity upholds the inherent worth of every individual. In AI ethics, it governs design practices that avoid dehumanization, preserve self-respect, and enable equitable treatment regardless of background or status.
Sectors Covered: [TBD]
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12. Collaboration
Score: 0.95 | Weight: 0.33
| NRBC Alignment: Canonical Value | Relational and Cooperative Governance Layer |
Definition: Collaboration fosters cooperative intelligence, shared agency, and interdependent decision-making. In AI, it facilitates teamwork between humans and machines, interdisciplinary design, and multistakeholder governance.
Sectors Covered: [TBD]
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13. Autonomy
Score: 0.93 | Weight: 0.33
| NRBC Alignment: Canonical Value | Personal Agency and Consent Enabler |
Definition: Autonomy is the capacity of individuals to act with self-governance and informed consent. In AI, it supports systems that respect user choices, cognitive liberty, and personal sovereignty in interaction.
Sectors Covered: [TBD]
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14. Human Rights
Score: 0.88 | Weight: 0.66
| NRBC Alignment: Canonical Value | Universal Rights Enforcement Layer |
Definition: Human Rights frame the universal entitlements to liberty, privacy, protection, and participation. In AI ethics, they are invoked in algorithmic fairness, surveillance boundaries, and inclusion in decision processes.
Sectors Covered: [TBD]
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15. Beneficence
Score: 0.82 | Weight: 0.33
| NRBC Alignment: Canonical Value | Human Welfare and Well-being Driver |
Definition: Beneficence commits to promoting well-being, welfare, and positive outcomes. In AI design, this principle underlies systems that enhance health, education, prosperity, and human flourishing.
Sectors Covered: [TBD]
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