GoDaddy’s mission to globally empower everyday entrepreneurs and create more inclusive opportunities begins with building trust.
GoDaddy’s AI guiding principles are our commitment to using artificial intelligence (AI) and machine learning (ML) responsibly and ethically to advance GoDaddy's mission by helping business owners succeed. This commitment not only helps business owners succeed but also improves lives. As AI continues to evolve, so will our policies and business practices to best serve and protect entrepreneurs worldwide.
1. Prioritizing privacy and security
As we work with our teams, vendors, and customers, we work to keep confidential data secure and private. This means:
- Restricting access to data based on job scope, use case, and role within the company.
- Using data that is necessary to accomplish a task.
- Applying secure processes to handle sensitive data.
2. Vetting of third-party AI/ML solutions
The AI landscape is rapidly evolving and new solutions emerge, often promising groundbreaking advancements. While the allure of cutting-edge technology is strong, we maintain a stringent vetting process for all potential AI/ML partners to ensure alignment with our goals, strategies, and ethical standards.
Our comprehensive due diligence process involves:
- Evaluating the opportunity to enhance customer experience and business operations.
- Scrutinizing for potential risks.
- Organizing our Legal, IT, and Risk teams to conduct an in-depth examination before integrating partner solutions, focusing on:
- Alignment with our company's AI principles and ethical guidelines.
- Data privacy impact.
- Compliance with relevant regulations and industry standards.
- Evaluation of performance metrics, reliability, and scalability.
- Detailed review of contractual obligations, particularly regarding data handling and protection.
3. Championing responsible and ethical AI practices
As AI and ML become prevalent, we recognize the importance of addressing potential risks associated with bias and inaccurate information. Our commitment to responsible AI use is reflected in the following practices:
- Implementing risk mitigation strategies that identify potentially harmful information to allow our teams to implement appropriate controls where needed.
- Updating our methodologies to adhere to AI ethical standards.
- Exercising diligence in training internal models to minimize bias and maximize accuracy.
- Developing thoughtful and inclusive prompts for language models to reduce bias in generated content.
