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Making the job search transparent, human-centered and powered by responsible AI

This document reflects Welcome to the Jungle's commitment to responsible artificial intelligence (AI) as of March 2026. Our practices and policies evolve continuously to meet emerging best practices and regulatory requirements.

This document is provided for informational purposes only and does not constitute a legally binding commitment.

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Executive Summary

Welcome to the Jungle (WTTJ) is committed to leveraging AI responsibly, transparently, and ethically across our recruitment platform. This document outlines our comprehensive approach to responsible AI development and deployment, demonstrating our commitment to innovation with integrity.

As AI transforms the recruitment landscape, we recognize both the tremendous opportunities and significant responsibilities that come with this technology. Our approach prioritizes human oversight, fairness, transparency, and accountability at every stage of the AI lifecycle.

1. Our Responsible AI Principles

1.1 Amplifying Human Potential

We are committed to using AI to enhance, not replace, human decision-making in recruitment.

We design AI features to support recruiters and candidates by:

• Reducing time spent on repetitive administrative tasks
• Enabling focus on strategic, high-value activities
• Facilitating meaningful human connections between employers and candidates
• Always maintaining human oversight for all consequential hiring decisions

In practice, our AI-powered tools provide recommendations and insights, but you always make the final decision. AI serves as an intelligent assistant, never an autonomous decision-maker.

1.2 Fighting Discrimination, Not Perpetuating It

Our vision is clear. In a world where unconscious bias still influences hiring decisions, AI gives us the opportunity to level the playing field but only if we build it right.

To ensure our AI systems do not perpetuate existing biases, we apply three key principles:

• No training on historical decision data

  We do not train our models on past hiring decisions, to avoid reproducing patterns (whether from candidates or recruiters) that may carry implicit bias.

• No inference from sensitive or potentially discriminatory data

  Our AI does not generate or infer text based on information that could lead to discrimination, such as name, address, ethnicity, gender, age, or any other protected characteristic.

• Explicit anti-bias instructions in prompts

  The prompts we use to guide our AI models include explicit instructions to avoid any form of bias or discrimination in their outputs.

When we detect bias, we address it immediately. Fairness is not an aspiration—it's a requirement.