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Our commitment to building AI systems that are transparent, safe, accountable, and aligned with human values.
Last updated: July 2026
Magnence is an AI-first technology and creative company. We believe AI should augment human capabilities, not replace human judgment. Every AI system we build — whether for ourselves or our clients — is designed with transparency, safety, and accountability as first-class requirements. This page describes how we approach responsible AI across our operations and client engagements.
When you interact with AI-powered features on our website (such as our chat assistant 'Mag'), we clearly identify them as AI-generated. AI responses are provided for informational purposes and should not be relied upon as professional, legal, financial, or medical advice. We do not present AI-generated content as human-authored without disclosure. All AI interactions on magnence.com are subject to our Privacy Policy.
Our AI features may use third-party AI providers (such as OpenAI, Anthropic, Google, or other leading model providers) to generate responses. When this occurs: (a) your input is sent to the provider's API for processing; (b) we do not share your personal information beyond what is necessary for the AI interaction; (c) we select providers that meet our security and privacy standards; (d) we do not use client project data or confidential information for AI training. The specific provider used may change as we evaluate options for quality, safety, and cost-effectiveness.
AI systems, including those we build and deploy, have inherent limitations. They may produce inaccurate, incomplete, or biased outputs. They do not understand context the way humans do. They may generate plausible-sounding but incorrect information ('hallucinations'). We design our systems with appropriate guardrails, human oversight, and fallback mechanisms. However, AI outputs should always be reviewed by qualified humans before being used for consequential decisions.
When we build AI systems for clients, we follow these principles: (a) Purpose Limitation — AI is built for the specific use case agreed upon, with clear boundaries; (b) Data Minimization — we collect and process only the data necessary for the AI system to function; (c) Human Oversight — we design for human-in-the-loop workflows where decisions have significant impact; (d) Bias Awareness — we test for and mitigate known biases in training data and model outputs; (e) Documentation — we document AI system capabilities, limitations, and intended use cases.
We maintain strict confidentiality on all client engagements. Client data used in AI development is handled under NDA, never shared across clients, and never used to train models for other purposes. We do not contribute client data to open-source datasets or third-party training sets. All data handling follows our Privacy Policy and applicable data protection laws including India's Digital Personal Data Protection Act (DPDPA).
The field of AI ethics and governance is evolving rapidly. We continuously monitor developments in AI regulation (including the EU AI Act, India's DPDPA, and other frameworks), industry best practices, and academic research. We update our practices, tools, and policies as our understanding improves. We encourage our team to report concerns about AI safety or ethics without fear of reprisal.
We do not claim certifications, compliance badges, or accreditations that we have not earned. Our responsible AI practices are based on industry best practices and our internal standards. If you require specific AI governance frameworks (such as ISO 42001 or NIST AI RMF) for your engagement, we can discuss alignment during the discovery phase.
If you have questions about our AI practices, want to discuss responsible AI for your project, or have concerns about AI-generated content on our website, please contact us at legal@magnence.com or call +91 9470961258 (24×7 available).