Responsible AI
This website is owned and operated by Aimavrik Technologies LLP under the AiMavrik brand. In this document, “AiMavrik”, “we”, “us” and “our” refer to Aimavrik Technologies LLP.
1. Our approach
Responsible AI describes how we build and run AI in practice. It complements our AI Transparency page (how AI is used) and our AI Ethics page (the principles behind our choices).
2. Fairness
We aim to build systems that treat people and cases consistently. We are mindful of bias in data and models and design workflows to reduce the risk of unfair or harmful outcomes, especially where decisions affect individuals.
3. Transparency
We are clear about where AI is used, what it can and cannot do, and where a human is in the loop. We avoid presenting AI outputs as guaranteed facts.
4. Human review
Meaningful AI outputs are reviewed by people before they are relied upon. We keep a human able to correct or override AI where the stakes justify it.
5. Reliability
We test AI-enabled workflows before they go live, add error handling, and monitor them in operation so failures are caught and addressed.
6. Continuous improvement
We learn from how systems perform and refine prompts, guardrails and processes over time. As models and best practices evolve, we update our approach.
7. Responsible deployment
We deploy AI where it genuinely helps and avoid uses that are misleading, unsafe or inappropriate. We consider the impact of automation on the people it affects and keep humans accountable for outcomes.
| Topic | Contact |
|---|---|
| General enquiries | hello@aimavrik.com |
| Privacy & data protection | hello@aimavrik.com |
| Security | hello@aimavrik.com · see Responsible Disclosure |
| Legal notices | hello@aimavrik.com |