What is Responsible AI (RAI)?
Responsible AI (RAI): Implement AI systems ethically and responsibly, ensuring fairness, transparency, and accountability.
Responsible AI (RAI): Implement AI systems ethically and responsibly, ensuring fairness, transparency, and accountability.
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.
Some principles of responsible AI include:
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.
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.