Ethical AI
AI designed to respect privacy, fairness, accountability and safety.
How the laws define this
Regulatory frameworks globally establish that Ethical AI requires developing and deploying artificial intelligence in alignment with fundamental human rights, fairness, transparency, accountability, and the prevention of harm. Divergence appears in how jurisdictions operationalize these principles across specific domains and mechanisms. LombardIA: Regional Strategy for Artificial Intelligence explicitly incorporates environmental sustainability, whereas the Spanish Strategy for Artificial Intelligence in R&D&I embeds ethical standards directly into research funding and evaluation criteria. Focus also shifts regarding operational safeguards: the Kenya National Artificial Intelligence Strategy 2025–2030 specifically mandates safeguards in procurement and inclusion for vulnerable groups, while the Tamil Nadu Safe and Ethical AI Policy and the Kigali Global AI Summit Outcomes explicitly require human oversight. Additionally, instruments such as the National AI Masterplan 2025-2035 anchor their definitions in UNESCO guidance, whereas frameworks like the UAE's International Stance on Artificial Intelligence Policy rely on locally adopted ethical standards.
Synthesised from the 17 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first. Showing 10 of the 17 instruments that define this term; all are listed under Definitions below.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| India | Tamil Nadu Safe and Ethical AI Policy (Established by G.O. (Ms). No. 25, 2024) | In Force | Explicitly includes human oversight as a principle and ties AI deployment to respecting fundamental human rights and democratic values. |
| Uruguay | Montevideo Declaration on Artificial Intelligence “For the construction of a regional approach on the governance of Artificial Intelligence and its impacts on our society” | In Force | Emphasizes adherence to moral principles, human values, and societal norms, with a regional focus on Latin America and the Caribbean. |
| China | Ethics-Safety Guidelines for Artificial Intelligence Applications 1.0 | In Force | Aligns AI with human values while focusing on safety guidelines across the AI lifecycle in a Chinese context. |
| Ghana | Readiness Assessment Measurement (RAM) for Ethical Use of Artificial Intelligence | In Force | Frames Ethical AI as a normative target specifically for governance, assessment, and deployment decisions in readiness evaluations. |
| Italy | LombardIA: Regional Strategy for AI | In Force | Adds respect for environmental sustainability and non-discrimination alongside fundamental rights and democratic values. |
| Maldives | UNESCO AI Readiness Assessment Report | In Force | Stresses not undermining fundamental rights or exacerbating inequalities, grounding recommendations for governance design. |
| Spain | Basque Country AI Strategy | In Force | Incorporates technological security and social and economic inclusion as part of ethical adherence. |
| Serbia | Belgrade Ministerial Declaration on AI | In Force | Highlights non-discrimination explicitly and focuses on positive societal contributions through international cooperation. |
| United Arab Emirates | UAE's International Stance on Artificial Intelligence Policy | In Force | References a specific 'AI Principles and Ethics' framework adopted by the UAE for upholding standards. |
| Nigeria | Lagos State AI Guidelines | Adopted | Prioritizes avoiding harmful biases or discriminatory outcomes to ensure positive societal contributions. |
What it triggers
- In Tamil Nadu, state agencies must follow the AI Mission's guidance for deploying safe, unbiased AI in public governance.source
- The Montevideo Declaration calls for regional cooperation in Latin America and the Caribbean to develop and deploy AI based on human rights and democratic principles.source
- China's guidelines set out ethics and safety standards for AI applications, emphasizing human-centered development and risk mitigation.source
- Ghana's framework guides national policymakers in evaluating AI readiness and deployment decisions.source
Definitions (17)
AI systems designed and deployed in ways that uphold privacy, fairness, accountability, explainability and safety, minimizing harms and protecting individual rights; the strategy frames this as a guiding principle for design, deployment and governance of AI across sectors.
Ethical AI refers to AI systems developed and deployed in manners that respect fundamental rights, democratic values, non-discrimination, transparency, equity, and environmental sustainability. LombardIA promotes an ethical, conscious, and responsible use of AI consistent with European principles and legal frameworks to ensure trustworthiness and human-centric outcomes.
AI designed and deployed according to principles of fairness, transparency, accountability, and human-centric design, ensuring systems respect rights, mitigate bias, and support ethical decision-making in line with UNESCO guidance.
AI practices and systems that adhere to principles of fairness, transparency, accountability, human rights protection, and social benefit, ensuring AI development and deployment do not undermine fundamental rights or exacerbate inequalities. The assessment grounds its recommendations on this concept to guide governance and regulatory design.
Ethical AI is defined in the strategy as AI that respects human dignity, transparency, and responsible development principles, ensuring systems are designed and used in ways that protect rights, avoid harm, and promote fairness. This concept informs policy priorities, alignment with UNESCO principles, and recommended practices for AI deployment in Senegal.
A cross-cutting concept requiring AI research and innovation to respect human rights, promote fairness and non-discrimination, ensure transparency and explainability, mitigate bias and consider socio‑economic impacts; ethical AI principles are to be embedded throughout the R&D lifecycle and reflected in funding and evaluation criteria.
AI systems developed and deployed in accordance with principles of fairness, transparency, accountability, and respect for human rights; the framework frames Ethical AI as the normative target for governance, assessment, and deployment decisions.
AI designed and deployed to respect human rights, fairness, transparency and non‑discrimination, incorporating ethics safeguards, review checkpoints, and measures to protect vulnerable groups and promote inclusion in procurement and deployment.
AI systems designed and deployed with principles that ensure fairness, transparency, accountability, and respect for human rights and societal values, avoiding harmful biases or discriminatory outcomes. This ensures AI contributes positively to society.
Ethical AI denotes AI systems developed and deployed in a manner that respects human rights, promotes fairness, ensures transparency, and minimizes harm, aligning with societal values and legal frameworks. This includes considerations of bias, accountability, and human oversight in the AI lifecycle.
A foundational principle ensuring that the development and deployment of AI applications adhere to moral and ethical principles, respect human rights, promote technological security, and foster social and economic inclusion. This commitment aligns with broader European regulatory trends.
Artificial Intelligence systems designed, developed, and used in a manner that adheres to moral principles, human values, and societal norms, prioritizing fairness, transparency, accountability, and the prevention of harm.
Artificial Intelligence guided by moral principles and values such as fairness, non-discrimination, privacy, accountability, and the prevention of harm, ensuring positive societal contributions.
Ethical AI refers to the development and deployment of Artificial Intelligence systems that adhere to principles such as fairness, accountability, transparency, privacy, and human oversight. It aims to ensure that AI technologies benefit society, minimize harm, and respect fundamental human rights and democratic values.
Artificial intelligence systems designed and used in accordance with moral principles, focusing on fairness, transparency, accountability, and human-centric values. It aims to prevent harm and ensure societal benefit.
AI systems designed and deployed in alignment with human values, promoting fairness, transparency, accountability, and respect for fundamental rights.
Ethical AI refers to the development and deployment of artificial intelligence systems that adhere to a set of moral principles and values, such as fairness, non-discrimination, transparency, accountability, and respect for human rights and privacy. The UAE policy emphasizes upholding AI ethical standards through its adopted 'AI Principles and Ethics' framework.
Not to be confused with
Responsible AI Research limits the scope to research activities embedding ethics, while Ethical AI covers broader development and deployment.
Trustworthy/ethical AI emphasizes design with transparency and accountability, overlapping but not specifying prevention of harm or societal norms as prominently.
Questions and answers
What makes Tamil Nadu's Ethical AI definition unique?
It explicitly includes human oversight and links to fundamental human rights and democratic values. The policy establishes the AI Mission for safe, unbiased public governance AI.
How does the Montevideo Declaration approach Ethical AI?
It prioritizes moral principles, human values, and societal norms for AI in Latin America and the Caribbean. It fosters regional cooperation for ethical and sustainable AI.
What are common elements across Ethical AI definitions?
Most emphasize fairness, transparency, accountability, and human rights protection. Variations add elements like human oversight, environmental sustainability, or regional focuses.
Related Terms
Responsible AI Research
Research embedding ethics, fairness, transparency, and privacy....
trustworthy/ethical AI
AI designed with transparency, accountability and respect for rights....
People-centered AI
AI development/deployment that respects dignity, privacy, and fairness....
Trustworthy/Explainable AI
AI designed to protect privacy, transparency and rights....
Trusted/Trustworthy AI
Systems designed to respect human rights, fairness, transparency and safety....