Responsible AI Policy

Responsible AI at Regology: Our Commitment to Ethical Innovation

At Regology, we stand at the forefront of technological innovation with our AI-based solutions, powered by cutting-edge machine learning and generative AI models. In our journey to transform regulatory compliance, we remain steadfast in our commitment to the ethical development and use of AI technologies. Recognizing both the transformative potential and the inherent risks of AI, we have instituted a comprehensive AI Risk Management Framework (AI RMF), grounded in the principles outlined by the National Institute of Standards and Technology (NIST).

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Our AI Risk Management Framework

Scope

Our policy encompasses all AI systems developed, deployed, or utilized by Regology. This includes a broad spectrum of AI technologies, particularly those based on machine learning and generative AI models, ensuring that our commitment to responsibility spans the entirety of our technological spectrum.

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Governance

We've established a robust governance structure to oversee AI systems' lifecycle at Regology. This includes:

An AI Ethics and Risk Committee, tasked with the approval of AI projects, ensuring they align with our ethical standards and risk management principles.

An AI Risk Management Lead, who oversees the day-to-day operational aspects of risk assessment, mitigation strategies, and educational initiatives related to AI risks.

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Accountability and Transparency

Accountability is at the core of our operations, with dedicated oversight mechanisms ensuring adherence to ethical guidelines and risk management protocols. We champion transparency by clearly communicating our AI usage policies, the capabilities and limitations of our models, and our commitment to data privacy and ethical AI usage.

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Risk Assessment and Mitigation

Risk Assessment

Every AI system at Regology undergoes a thorough risk assessment to identify potential risks and evaluate their likelihood and impact. This assessment encompasses various dimensions of trustworthy AI, including safety, security, privacy, fairness, and accountability.

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Risk Mitigation Strategies

Our mitigation strategies are comprehensive, encompassing:

‍Data Governance: Implementing stringent data security measures, ensuring responsible data sourcing, and maintaining clear consent mechanisms.

Model Development: Conducting regular bias audits and fairness tests, and incorporating explainability techniques into our AI models.

Human Oversight: Integrating human-in-the-loop processes for critical decision-making and content moderation.

User Education: Empowering users with knowledge about responsible AI usage, the limitations of AI models, and awareness of potential biases.

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Monitoring, Review, and Training

Ongoing compliance with our AI RMF is ensured through continuous monitoring and regular reviews of our AI systems. We are committed to keeping our risk mitigation strategies up-to-date and effective in addressing emerging risks.

To foster an informed and responsible workforce, we provide comprehensive training and awareness programs for all employees involved in the development, deployment, and use of AI systems. These programs cover the essentials of our AI RMF, the characteristics of trustworthy AI, and our overarching policy on AI risk management.

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Commitment

At Regology, our dedication to the responsible development and use of AI is unwavering. Through the implementation of our AI RMF, grounded in the guidelines provided by NIST, we strive to ensure that our AI systems are not only innovative but also ethical, transparent, and aligned with the well-being of society and the environment. We believe that through responsible stewardship of AI technologies, we can unlock their full potential while safeguarding against their risks, thereby contributing to a better future for all.

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