Our Commitment to Responsible AI

At Protex AI, we believe that Artificial Intelligence has the power to create a safer environment for workers everywhere. Our enterprise-grade solution for safer, smarter, and more efficient workplace environments is designed to enhance human capabilities, not replace them, by providing actionable insights that prevent incidents, improve compliance, and foster a culture of safety.

As a company building technology that impacts the well-being of people, we are guided by a strong ethical framework. Our commitment to responsible AI is not just a policy - it is a core value embedded in every stage of our product lifecycle, from research and development to deployment and support.

Our approach is inspired by industry leaders and built on a foundation of trust, fairness, and accountability.

Our AI Ethics Principles

We adhere to the following principles in the development and deployment of our AI solutions:

1. Human-Centered Design & Control

AI is a tool to empower human expertise, not to replace it. We are committed to designing systems that augment the capabilities of EHS and Site Operations professionals, giving them better information to make critical decisions. Humans remain in the loop, accountable for the final decisions and outcomes.

• Human Oversight: Our systems are designed with clear touchpoints for human review and intervention. Safety managers, site supervisors, and other professionals are always empowered to override or adjust AI recommendations based on their on-site knowledge and judgment.
• Purposeful AI: We focus on developing AI for clear, beneficial use cases in health and safety and site operations, such as predictive risk assessment and proactive incident prevention. Our technology is built to support safer, more efficient site operations, and we take care to avoid applications that could compromise those goals..

2. Fairness & Bias Mitigation

Our goal is to build AI that promotes fairness and protects all workers, regardless of their background. We actively work to identify and mitigate biases that could lead to unfair or discriminatory outcomes.

• Data Diversity: We train our models on diverse and representative data to avoid perpetuating historical biases. For example, our computer vision models are trained on a wide variety of work environments, lighting conditions, and worker demographics to ensure consistent and accurate performance for everyone.
• Bias Audits: We conduct regular, rigorous audits of our algorithms and data to detect and address potential biases. We are transparent about the limitations of our models and continuously seek to improve their fairness.

3. Transparency & Explainability

We believe our users should understand how our AI works and the reasoning behind its insights. We strive to make our systems as transparent and explainable as possible.

• Explainable Insights: Our product provides clear and understandable explanations for the risks and recommendations it highlights. For example, if the AI flags an event of interest, an event video clip is captured,  and the metadata clearly shows the factors that ultimately led to its assessment as a risky event.
• Clear Disclosures: We are open about the capabilities, limitations, and potential failure modes of our AI systems. Our documentation and user training materials provide a comprehensive guide to using our product responsibly.

4. Privacy & Data Security

Protecting the privacy and security of our clients' and their employees' data is a top priority. Our technology is built with a commitment to robust data protection.

• Data Minimisation: We only collect and process the data necessary to provide and improve our health and safety solutions. We do not use this data for any purpose other than what is explicitly agreed upon with our clients.
• Robust Security: We implement industry-leading security protocols, including end-to-end encryption and strict access controls, to safeguard sensitive information. We comply with applicable data protection regulations, such as GDPR and CCPA.

5. Accountability & Governance

We are responsible for the ethical design of our AI systems. This commitment is supported by a formal AI governance structure.

• Internal Oversight: We have established an internal AI Governance Committee composed of engineers, product managers, as well as legal and security experts. The Committee provides structured oversight of all new AI features and use cases, ensuring they comply with our governance framework, regulatory requirements, and ethical principles. It serves as a formal decision-making body for evaluating risks, approving implementations, and maintaining accountability for responsible AI within our products..
• External Collaboration: We engage with industry peers  and keep informed on regulatory developments to ensure our approach to AI development remains ethical and responsible. 

Our Promise to You

We are committed to continuously evolving our practices as the field of AI advances, ensuring our technology always reflects the highest standards of responsibility and care.

Our mission is to help our clients protect what matters the most - the health, safety, and wellbeing of their people. By building our AI with these ethical principles at its core, we promise to deliver a product that is not only powerful and effective, but also trustworthy, transparent, and built to serve responsibly.

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