1. Fairness & Non-Discrimination
- Conduct recurring bias audits across Arabic and English datasets to benchmark disparate impact and remediate systemic skews before launch.
- Curate multilingual evaluation corpora that capture dialectal Arabic, Modern Standard Arabic, and English news sources so models remain representative.
2. Transparency & Explainability
Every AI-assisted insight clearly discloses where automation is applied and cites the human or documentary evidence that underpins resulting claims.
Decision trails expose reference links, supporting datasets, and confidence notes so policy makers, journalists, and citizens can trace how outputs were derived.
3. Accountability & Human Oversight
Human-in-the-loop reviewers verify high-impact assessments, approve escalations, and document interventions prior to publication.
Comprehensive model documentation details intended use, limitations, audit checkpoints, and escalation paths available to regulators and partners.
4. Data Integrity & Security
Training and evaluation rely on sanitized public datasets; personal or sensitive data is excluded from model pipelines and monitoring corpora.
Secure engineering practices, encryption, and access controls protect datasets, prompts, and generated outputs from tampering or misuse.
5. Responsible Innovation
Cross-functional reviews evaluate societal impact, regulatory obligations, and intellectual property compliance before deploying new capabilities.
We collaborate with subject-matter experts so automation augments human judgment while respecting cultural norms across the region.
6. Continuous Improvement
Ethics checkpoints align with UAE AI Office guidance and international frameworks, refreshing safeguards as expectations evolve.
Feedback from journalists, civil society, and regulators informs periodic ethics reviews and public change logs.
7. Contact
For ethics or transparency inquiries, contact ethics@labeeb.ai. Dedicated reviewers triage submissions and respond with next steps.
Oversight partners may request audit artifacts or raise concerns so that we can address them collaboratively and document outcomes.