Garrett Ai Policy

Scott Simon

2 min read

·

12-01-2025

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This document outlines Garrett AI's policy regarding the ethical and responsible use of artificial intelligence. We are committed to developing and deploying AI technologies that benefit society while mitigating potential risks. Our policy is guided by principles of fairness, transparency, accountability, and privacy.

Core Principles

• Fairness: We strive to ensure our AI systems are free from bias and discrimination, treating all users equitably. This requires careful data selection, algorithm design, and ongoing monitoring for unintended biases.

• Transparency: We believe in open communication about how our AI systems work. We will provide clear explanations of our AI's capabilities and limitations, and we will be transparent about any data used in their training. We understand that full explainability is a continuous challenge in the field of AI, but we are committed to providing as much information as possible.

• Accountability: We take full responsibility for the actions of our AI systems. We have established processes for addressing any issues or concerns that arise from their use, and we will actively work to rectify any problems promptly.

• Privacy: We prioritize the privacy of user data. We will only collect and use data in accordance with applicable laws and regulations, and we will implement robust security measures to protect user information. We are dedicated to upholding the highest standards of data protection.

Data Handling and Security

Our AI models are trained using large datasets. We are committed to ensuring that all data used is obtained ethically and legally. We regularly audit our data sources to identify and mitigate any potential biases or inaccuracies. We employ advanced security measures to protect data from unauthorized access, use, or disclosure. Our data security practices are subject to continuous review and improvement to adapt to the evolving threat landscape.

Bias Mitigation and Fairness

We are acutely aware of the potential for AI systems to perpetuate and amplify existing societal biases. We are actively developing and implementing strategies to identify and mitigate these biases throughout the AI lifecycle, from data collection to model deployment. This includes using bias detection tools, employing diverse teams, and actively soliciting feedback from various user groups.

Ongoing Review and Improvement

This policy is a living document, and we are committed to regularly reviewing and updating it as AI technology evolves and new challenges emerge. We will actively seek feedback from stakeholders, including users, researchers, and policymakers, to ensure our policy remains relevant and effective. We believe that continuous improvement is essential to ensure the responsible and beneficial development of AI.