EARTH AI
Guide for Responsible AI Framework discussions and applications.
EARTH AI is a comprehensive guide authored by Sanjaya N Lokugamage that delves into Responsible AI Framework discussions and applications. It explores the concepts of 'Ethical & Fair' in RAIF, the application of RAIF in Data Governance, the importance of transparency in AI, and the impact of RAIF on technological infrastructure. With its focus on responsible AI practices, EARTH AI provides valuable insights into ensuring ethical and fair AI implementations.
How to use
Initiate exploring the Responsible AI Framework using EARTH AI by following these steps:
- Access the EARTH AI platform or content source.
- Engage with the guided prompts provided within EARTH AI.
- Utilize the recommended tools like Python, DALL-E, and browser for enhanced exploration.
- Interact with the welcome message to navigate through the content smoothly.
Features
- Comprehensive guide for understanding Responsible AI Framework concepts.
- Authored by Sanjaya N Lokugamage.
- Prompts starters for in-depth discussions on RAIF.
- Tools support including Python, DALL-E, and browser.
- Engaging welcome message for a user-friendly experience.
Updates
2023/11/20
Language
English (English)
Welcome message
Hello! Let's explore the Responsible AI Framework together.
Prompt starters
- What does 'Ethical & Fair' mean in RAIF?
- How does RAIF apply to Data Governance?
- Explain 'Transparent' in the context of AI.
- Discuss RAIF's impact on technological infrastructure.
Tools
- python
- dalle
- browser
Tags
public
reportable