Llamaduck

AI Safety Policy

Last updated: April 8, 2026

Our Commitment

At Llamaduck Design, we believe that useful AI shouldn't be complicated—or unsafe. We are committed to designing, developing, and deploying AI systems that are effective, transparent, and aligned with human values. Safety is not an afterthought; it is a core principle in every project we undertake.

Design Principles

Every AI system we build follows these principles:

  • Human-Centered Design: AI should augment human capabilities, not replace human judgment. We design systems that keep humans informed and in control.
  • Transparency: We clearly communicate what our AI systems can and cannot do. Users should always understand how AI is being used in their workflows.
  • Reliability: We rigorously test our systems to ensure they perform consistently and predictably under real-world conditions.
  • Minimal Data Collection: We only collect and process the data necessary for the AI to function effectively. We never use data beyond its intended purpose.

Risk Assessment

Before deploying any AI system, we conduct a thorough risk assessment that evaluates potential harms, failure modes, and unintended consequences. We categorize risks by severity and likelihood, and implement appropriate safeguards for each.

Bias and Fairness

We actively work to identify and mitigate bias in our AI systems. This includes reviewing training data for representational imbalances, testing outputs across diverse user groups, and iterating on models to reduce disparate outcomes.

Data Handling

All data used in AI training and inference is handled in accordance with our Privacy Policy. We do not use client data to train models for other clients. Sensitive data is encrypted at rest and in transit, and access is restricted to authorized personnel only.

Monitoring and Incident Response

We continuously monitor deployed AI systems for unexpected behavior, performance degradation, and safety issues. In the event of an incident, we follow a structured response process that includes immediate mitigation, root cause analysis, and transparent communication with affected parties.

Client Collaboration

We work closely with our clients to ensure they understand the capabilities and limitations of the AI systems we build. We provide documentation, training, and ongoing support to help organizations use AI responsibly within their operations.

Continuous Improvement

AI safety is an evolving field. We stay current with the latest research, industry standards, and regulatory developments. We regularly review and update our practices to reflect new knowledge and best practices.