NeuronBlack Responsible AI Policy
Last updated: April 1, 2025
Core Principles We Uphold
Fairness
We work to ensure that AI systems are free from unjust bias and do not perpetuate discrimination. This includes evaluating datasets, model outputs, and design pipelines for bias and ensuring inclusivity.
Transparency
We prioritise clarity over complexity. We help clients understand how AI decisions are made and ensure documentation and communication reflect explainability and auditability.
Accountability
Responsibility lies with people, not algorithms. We establish governance models and ensure clear ownership of AI outcomes within organisations.
Privacy and Security
We adhere to GDPR and global standards. Our methods include minimisation of data use, anonymisation, and strong encryption practices.
Human-Centeredness
Our work ensures AI systems are used to empower—not marginalise—humans. This principle guides our audit, design, and advisory engagements.
How We Operationalise Ethics in Our Work
- AI Ethics Audits – Evaluating AI systems for bias, risks, and compliance gaps.
- Strategy & Advisory – Embedding responsible principles from design to deployment.
- Policy & Governance – Helping organisations create long-term AI accountability.
- Training & Culture – Educating teams on responsible AI through custom sessions.
Our Commitment to Continuous Learning
Technology moves fast—and so must our ethics. We stay sharp through ongoing research, community dialogue, and by integrating diverse perspectives across geographies—including often underrepresented voices from Africa and the Global South. Our policy and frameworks evolve continuously to reflect new learnings and risks.