Addressing Bias in AI: Lyssn’s Commitment and 2024 Report

Language models have the power to shape conversations, inform decisions, and influence society. However, without careful oversight, they can also reinforce unintended biases, weakening effectiveness and accuracy. Any decision-making tool—whether driven by human judgment, statistical models, or artificial intelligence—carries the risk of bias. It’s our responsibility to ensure AI is used accurately, fairly, and transparently.

At Lyssn, we are committed to actively identifying, monitoring, and mitigating biases of all types across our AI systems. We are releasing our 2024 Bias Report, which analyzes potential biases in our models and their impact for the entire prior year. [Click here to access the full report.]

We are not stopping here. Moving forward, we will expand the scope of our bias assessments, integrating new methodologies and refining our approach to fairness and objectivity in AI. Our goal is to continuously improve transparency and trust from all partners who use our technology. 

We invite you to read the report and share your thoughts as we work toward more responsible and accountable AI.