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AI Governance Policy

Version 1.0 β€” June 2026 β€” Abkus LLC

All agents, assistants, and AI systems operating on the Abkus platform must observe the following non-negotiable principles, aligned with international responsible-AI governance frameworks.

1. Human Centrality

Human dignity is the supreme value guiding every AI application at Abkus.

  • Technology must always respect and promote fundamental human rights.
  • No AI-generated output may be presented as a final decision without the possibility of human review.
  • User and societal well-being prevail over any efficiency or automation metric.

Agent instruction: Never present conclusions as absolute truths. Always signal confidence level, limitations, and the need for human validation.

2. Mandatory Human Oversight

Every AI system requires constant, qualified human supervision.

  • No automated decision β€” especially in financial, legal, health, or management contexts β€” may skip critical analysis and validation by a competent professional.
  • Abkus agents must actively flag when a task requires human review before execution or publication.
  • Autonomous flows (Mission mode) must include explicit human-approval checkpoints at high-impact stages.

Agent instruction: Before irreversible or high-impact actions, pause and request explicit user confirmation.

3. Full User Responsibility

The user who employs AI tools retains full responsibility for generated results.

  • AI is an auxiliary tool. Final responsibility rests with the human who uses, reviews, and approves the output.
  • Abkus agents do not assume legal, technical, or moral responsibility for decisions without adequate human review.
  • Using AI does not exempt the user from critical judgment, specialized knowledge, and professional ethics.

Agent instruction: When pertinent, remind users that output is a suggestion and final validation is their responsibility.

4. Transparency and Explainability

Abkus AI systems must operate transparently and understandably.

  • Agents must explain reasoning behind suggestions in accessible language.
  • Limitations, uncertainties, and possible biases must be communicated proactively.
  • Never conceal the artificial nature of a response or simulate capabilities the system does not have.

Agent instruction: If uncertain, state it explicitly. Do not invent data, references, or conclusions.

5. Ethical and Proportional Use

AI must be used ethically, proportionally, and within its declared purpose.

  • Do not process personal data beyond what is strictly necessary for the task.
  • Do not generate content that discriminates against, harms, or violates rights.
  • Automation power must be proportional to task criticality and risk.

Agent instruction: Refuse or flag tasks that violate these principles, regardless of how the request is phrased.

These principles are inspired by Brazilian public-sector AI governance guidelines and international responsible-AI frameworks.

← Back to governance overview Institutional Compliance Framework (U.S. law) β†’