Responsible AI Policy
We engineer artificial intelligence systems responsibly. This policy outlines our standards for human oversight, transparency, bias reduction, and model safety.
Table of Contents
1. Human-in-the-Loop Oversight
We do not advocate for fully autonomous decision engines in high-stakes operational domains. TechWhizz Inc. ("TechWhizz", "we", "us", or "our") designs AI systems, RAG indexes, and agentic workflows with explicit "human-in-the-loop" review gates. Critical actions—such as processing payments, editing user records, or dispatching fleets—must be verified by authorized human operators.
2. Responsible AI Development
We build machine learning applications in alignment with emerging global AI frameworks (including guidelines from NIST and the EU AI Act). Our development processes focus on safety, security, robust system performance, and clear audit logging.
3. Bias Reduction & Algorithmic Audits
To prevent algorithmic bias, we implement strict data profiling protocols. We verify that dataset components used for model training or prompt grounding are representative, balanced, and sanitized of structural prejudices. We run periodic audits to identify drift patterns and classification discrepancies.
4. Data Privacy & Vector Protection
We restrict model prompts from containing Personally Identifiable Information (PII). All vector embeddings, document indexes, and context windows are stored inside secure database layers equipped with strict row-level security and access controls. We ensure that API providers do not store, log, or utilize our client payloads for external model training.
5. Explanatory Transparency
We emphasize explainability in our AI systems. Wherever possible, we integrate traceability metrics that cite primary document sources in vector databases, allowing operators to verify the validity of AI responses and easily trace the underlying data origin.
6. Acknowledging Model Limitations
Large language models (LLMs) are probabilistic systems. We educate client stakeholders on system boundaries, including generation hallucinations, temperature parameters, context limits, and token constraints, ensuring they understand the capabilities and limitations of generative models.
7. Managing AI-Generated Outputs
All AI-generated text, classifications, summaries, and code drafts are intended as assistance tools. TechWhizz does not claim authorship or copyright on raw generative outputs and is not liable for errors, inaccuracies, or patent claims resulting from unreviewed AI outputs.
8. Client Compliance Responsibilities
Clients are responsible for defining the target use cases and obtaining necessary consents before processing data through AI models. Clients must implement training guidelines for human operators to verify model suggestions and ensure ethical usage.
9. Ethical Use Limitations
TechWhizz will not design, build, or deploy AI applications intended to facilitate mass surveillance, generate deceptive deepfakes, automate spam campaigns, or build predatory automated profiling tools. We reserve the right to decline engagements that conflict with these ethical AI parameters.