Responsible AI Policy

1 · Purpose

This is the top-level policy of Nxt7a's AI Management System (AIMS). It states our commitment to developing and using AI responsibly, and sets the framework under which our AI-specific policies operate.

2 · Scope

Applies to all AI systems Nxt7a develops, deploys, integrates or uses – including the Earth Intelligence platform and its models, third-party AI services (Claude, Gemini, ChatGPT, Vertex AI), and AI features built into our tools – and to everyone involved in their lifecycle.

3 · Policy Statements

Commitment. Nxt7a commits to an AIMS aligned to ISO/IEC 42001:2023, with leadership support and resources for responsible AI throughout the AI lifecycle.

Principles. Our use of AI is guided by principles consistent with Australia's AI Ethics Principles and our own values:

• Human, social and environmental wellbeing – AI should benefit people and the planet, in keeping with our conservation mission.
• Human-centred values and fairness – respect rights, avoid unfair bias and discrimination.
• Privacy and security – protect personal and sensitive data used by AI (per the privacy and security policies).
• Reliability and safety – AI operates reliably for its intended purpose; environmental and biodiversity outputs must be accurate and defensible.
• Transparency and explainability – be clear when AI is used and how outputs are produced.
• Contestability – provide ways to question or challenge AI-influenced outcomes.
• Accountability – humans remain accountable for AI systems and decisions.

Indigenous data and AI. AI developed or used on Indigenous data and knowledge is subject to the Data Sharing & Indigenous Data Sovereignty Policy, including consent and governance requirements.

Human oversight. Material AI-influenced decisions, and any published environmental claims derived from AI, have meaningful human oversight and verification.

Risk-based governance. AI risks and impacts are assessed and managed proportionately (see the AI Risk & Impact Assessment Policy).

Supporting policies. This policy is implemented through the AI Risk & Impact Assessment, Model & Data Governance, and AI Use Guidelines policies.

4 · Roles & Responsibilities

• CEO owns AI accountability at leadership level.
• AI Governance Lead ([CTO or delegate]) operates the AIMS and maintains AI policies.
• Developers and users apply responsible-AI requirements in their work.

5 · Compliance, Monitoring & Breach

AI governance is monitored through impact assessments, reviews and incident handling. Breaches are addressed under the Code of Conduct and relevant security/privacy processes.

6 · Related Documents

AI Risk & Impact Assessment Policy · Model & Data Governance Policy · AI Use Guidelines · Data Classification & Retention Policy · Privacy Policy · Data Sharing & Indigenous Data Sovereignty Policy.

7 · Standards Mapping

• B Corp: Governance, Customers.
• ISO/IEC 42001:2023: Clause 5 (Leadership & AI policy); Annex A.2–A.3 (AI policy and organisational responsibilities).
• Reference: Australia's AI Ethics Principles.

8 · Version History