What is Responsible AI (RAI)?
Responsible AI (RAI) is a method for managing the risks associated with AI-based solutions. It is the process of developing and operating AI systems that align with an organization's values and purpose. Responsible AI aims to ensure AI systems are transparent, fair, and accountable, and that they don't inadvertently create biases, privacy breaches, or other negative impacts.
- Responsible AI considers the ethical, social, and legal implications of AI throughout its lifecycle, from design to use.
- It focuses on the overall transparency and accountability of AI systems' development and deployment.
- Responsible AI can help guide decisions toward more beneficial and equitable outcomes.
What are some principles of Responsible AI?
Some principles of responsible AI include:
- Fairness: Assessing model fairness across sensitive groups.
- Transparency: Sharing information about system behavior and organizational processes.
- Privacy and security: Protecting a person's right to control who has access to their personally identifiable information (PII).
- Inclusive collaboration: Ensuring AI systems are compatible with regulations.
What is the difference between Responsible AI and Ethical AI?
Responsible AI is different from ethical AI, which ensures that AI systems and their outputs align with moral and societal values. Responsible AI, on the other hand, focuses on the overall transparency and accountability of AI systems' development and deployment.
- Ethical AI is about aligning AI systems with moral and societal values.
- Responsible AI is about the transparency and accountability of AI systems.
- Both are crucial for the safe and beneficial use of AI.
How Does Secoda Support Responsible AI?
Secoda is a data management platform that uses AI to centralize and organize an organization's data. It supports responsible AI by ensuring transparency, user privacy, and human oversight in data management. Secoda's AI Assistant can automate documentation, write dbt code, and answer questions from business users, promoting transparency and accountability.
