Responsible AI

A guiding commitment to develop and deploy AI systems in ways that respect human rights, ensure transparency, protect privacy, and incorporate human oversight and non-discrimination; used as an operational principle to guide CamIA's ethics, governance and capacity-building activities rather than as a binding legal standard.

An approach to developing and using AI that emphasises fairness, safety, transparency, respect for rights and inclusion, in line with Australia’s AI Ethics Principles and intended to mitigate harms while promoting public trust.

Defined in the document as approaches to AI that prioritise safety, fairness, transparency and privacy; used as a guiding concept for NAIC resources, training and tools to promote ethical and lawful AI development and deployment. This term describes normative practices rather than establishing statutory legal definitions within the policy.

A governance concept encompassing ethical principles and practices to ensure AI systems are fair, transparent, accountable, and beneficial to society. The strategy uses Responsible AI as the foundation for oversight mechanisms, the planned Center for Responsible AI, and integration of the Egyptian Charter for Responsible AI into practice.

A principle that AI development and deployment should be ethical, transparent, and accountable, ensuring respect for human rights, fairness, and societal well-being. The Action Plan frames Responsible AI as the guiding objective for research, public-sector adoption, and private-sector incentives.

AI development and deployment practices that prioritise social benefit, non-discrimination, transparency, privacy preservation and human-centric oversight; used as a working principle throughout the summit to guide ethical AI adoption and program design.

A set of principles—fairness, accountability, transparency, ethics, privacy protection, and inclusive design—applied throughout the AI development lifecycle to ensure technologies benefit all Filipinos and minimize potential harms, guiding research, deployment, and evaluation practices.

An approach to building and deploying AI systems that prioritizes ethical principles—such as beneficence, non-maleficence, autonomy, justice, and explicability—while ensuring transparency, accountability, and human oversight to minimize harm and protect rights. The policy uses this concept as the guiding standard for AI adoption across public and private sectors.

AI systems designed, built, and deployed in ways that are ethical, transparent, fair, accountable, and that respect human rights. The roadmap frames Responsible AI as a guiding principle for governance, including bias mitigation, explainability, and safeguards for privacy and equity.

Principles and practices for developing and deploying AI in ways that respect human rights, ensure fairness and non-discrimination, promote transparency and explainability, and establish accountability mechanisms. It guides regulatory approaches, sector adaptations, and ethical guidelines promoted by the strategy.

AI developed, deployed, and operated with explicit accountability arrangements, assigning roles and responsibilities to actors (e.g., developers, deployers) to ensure oversight, transparency, and redress for outcomes.

A principle-driven approach to AI development and deployment that requires ethical design, transparency, and conformity with human rights standards; intended to ensure AI benefits people and society while managing risks. The strategy uses this term to frame obligations and best practices across governance, deployment, and oversight activities.

A working policy concept encompassing ethics, fairness, accountability and transparency that guides procurement standards, risk assessment, sectoral deployment and documentation requirements; intended to align AI adoption with human rights, data governance and ethical best practices under the national framework.

Systems designed, developed and deployed with attention to lawfulness, transparency, fairness and accountability, operationalised through risk assessments, documentation, privacy‑enhancing technologies and governance measures promoted by the sandbox.

AI developed and deployed in accordance with ethical principles, emphasizing safety, fairness, accountability, and respect for human rights; used by the Alliance as a guiding principle for design, deployment, and governance of AI systems.

An AI system that aligns its development and behavior to established goals and values, ensuring consistency with democratic values. This approach prioritizes ethical considerations throughout the AI lifecycle.

The development, deployment, and use of AI systems in a manner that is consistent with democratic values and human rights, emphasizing fairness and accountability.

AI systems designed to be ethical, transparent, and aligned with human rights standards. It ensures that technology serves the public good without bias.

The development and use of artificial intelligence in a manner that respects human rights, promotes fairness, equity, inclusivity, and democracy, and contributes positively to the public good, aligning with principles such as those outlined in the OECD Recommendation on AI.

Responsible AI involves deploying artificial intelligence systems in a manner that respects privacy, safeguards data, minimizes biases, and ensures transparency and accountability throughout the AI lifecycle. It prioritizes human rights, health, and safety.

Defined implicitly through its emphasis on ethical considerations, accountability, transparency, and the maintenance of human judgment in decision-making processes, particularly in regulatory contexts.

Responsible AI encompasses principles and practices ensuring that AI systems are designed, developed, and deployed in a manner that is fair, transparent, accountable, and respects fundamental human rights. It aims to mitigate risks such as bias, discrimination, and privacy violations.

Responsible AI encompasses the ethical design, development, and deployment of AI systems that prioritize human rights, fairness, transparency, and accountability. It aims to ensure that AI benefits society while mitigating potential risks and harms.

AI systems that adhere to principles of ethics, transparency, explainability, non-discrimination, and respect for privacy and fundamental rights, ensuring beneficial and trustworthy integration into society.

'Responsible AI' extends beyond safety to encompass ethical considerations, ensuring that AI systems are developed and used in a manner that respects human rights, promotes fairness, prevents discrimination, and upholds democratic values.