Responsible AI Policy

1. Purpose and Scope

This policy outlines the responsible use of AI as at Fathom. It applies to all developers, data scientists, and stakeholders involved in the design, development, deployment, and management of any AI-driven data processing features.

2. Ethical Use of AI

  • Fairness and Non-Discrimination: Our AI systems process data fairly and without discrimination. We take steps to minimize biases in AI outputs and ensure that data processing is conducted on diverse and representative data sets.

  • Accountability: We take responsibility for the AI systems we deploy. We will address and rectify any issues arising from AI-driven data processing that causes harm or unintended consequences.

3. Data Privacy and Security

  • User Data Protection: We adhere to strict data privacy standards to protect user information. Data processed by AI is anonymized, securely stored, and handled in compliance with our privacy policies ensuring user confidentiality.

  • Compliance with Regulations: Our AI practices comply with relevant data protection laws, such as GDPR, CCPA, and other applicable regulations, ensuring that user-uploaded data is handled legally and ethically.

4. Transparency and Explainability

  • Process Transparency: We ensure that the role of AI in data processing is transparent to users, even if they do not directly interact with the AI. Documentation on AI-driven processes is available to relevant stakeholders.

  • Explainability: We aim to make AI-driven data processing explainable. Where possible, we provide insights into how AI processes data and the rationale behind the AI-driven results.

5. Continuous Monitoring and Improvement

  • Monitoring: We continuously monitor AI systems for performance, fairness, and ethical considerations. Any issues identified are promptly addressed.

  • Regular Audits: We conduct regular audits of our AI systems to ensure compliance with this policy and industry best practices.

  • Data Quality: We regularly review and improve the quality of data fed into AI systems to ensure accurate and reliable processing outcomes.

6. Limitations of AI

  • Limitations Disclosure: Users and stakeholders are informed about the limitations of our AI systems in data processing, including potential inaccuracies or biases.

  • Appropriate Use: AI-driven data processing is not employed in high-stakes contexts without additional safeguards and human oversight to ensure accuracy and appropriateness.

7. Responsible Deployment

  • Ethical AI Use Cases: We evaluate the ethical implications of deploying AI in data processing and avoid use cases that may cause harm or conflict with our ethical standards.

  • Mitigation of Harm: We proactively identify and mitigate potential harms that could arise from AI-driven processing of L&D data, including unintended consequences that may affect users.

8. Incident Response

  • Reporting and Response: Stakeholders are encouraged to report any issues or concerns related to AI-driven data processing. We will investigate and respond to incidents, taking corrective action where necessary.

  • Transparency in Reporting: Significant incidents involving AI will be transparently reported to stakeholders, along with the steps taken to resolve them.

9. Collaboration and Innovation

  • Partnerships: We collaborate with industry partners, academia, and regulators to stay at the forefront of responsible AI development, particularly in data processing.

  • Innovation: We are committed to advancing AI-driven data processing in a responsible manner, ensuring that innovations align with ethical standards and societal benefits.

10. Review and Updates

  • Regular Review: This policy is reviewed and updated regularly to reflect changes in technology, regulatory requirements, and industry best practices.

  • Stakeholder Notification: Stakeholders will be notified of any significant changes to this policy.



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