Multidimensional Framework

Performance & Design focuses on how systems achieve their intended outcomes while remaining flexible, inclusive, and environmentally aware.

• Functionality – Ensures systems deliver consistent, reliable results that fulfill their stated purpose.
• Adaptability – Examines how systems respond to changing contexts, requirements, or user needs.
• Accessibility – Promotes universal access by removing barriers for diverse users and abilities.
• Sustainability – Minimizes environmental impact and supports long-term ecological balance in design and deployment.

Creativity & Cognition examines how AI systems foster innovation, critical thought, and problem-solving across disciplines.

• Originality – Supports new ideas and fresh perspectives that extend beyond replication.
• Creativity – Enables experimentation and imaginative expression within ethical boundaries.
• Critical Thinking – Encourages evaluation of assumptions, evidence, and reasoning used in system outputs.
• Problem Solving – Applies structured inquiry to address complex or ambiguous challenges.

Human Focus ensures that innovation remains anchored in dignity, empathy, and fairness—prioritizing people over processes.

• Humanity – Protects fundamental human rights, dignity, and well-being in system design.
• Empathy – Integrates diverse perspectives, experiences, and emotional contexts into decision-making.
• Equity – Reduces disparate impacts by recognizing and addressing systemic bias.
• Equanimity – Promotes fairness and emotional steadiness under uncertainty or ethical tension.

Ethics & Governance establishes the moral and procedural boundaries that ensure AI accountability, transparency, and trustworthiness.

• Accountability – Clarifies who bears responsibility when harm or error occurs.
• Integrity – Upholds honesty and ethical conduct in data practices, modeling, and deployment.
• Transparency – Provides clear visibility into system design, purpose, and decision logic.
• Authenticity – Verifies the truthfulness, originality, and alignment of systems with their stated intent.

Risk & Safety safeguards users, institutions, and society by embedding resilience and oversight into every stage of AI development and implementation.

• Security – Protects against malicious attacks, misuse, or data breaches.
• Robustness – Ensures systems can withstand errors, stress, or environmental changes without failure.
• Compliance – Aligns operations with evolving laws, standards, and ethical norms.
• Oversight – Maintains continuous human supervision and corrective mechanisms across the system lifecycle.