Description:

This serves as refresher course (Non-Technical) for learner already familiar with Responsible AI and learner with non-tech background to get started with Responsible AI concepts.

The Responsible AI Overview course provides a comprehensive understanding of ethical considerations and best practices in implementing artificial intelligence technologies. It covers topics such as fairness, transparency, accountability, and privacy to ensure responsible AI deployment.

Key Highlights:

• Ethical AI principles
• Fairness and bias in AI
• Transparency and interpretability
• Accountability and governance
• Privacy and data protection

What you will learn:

• Understand Ethical AI Principles
  Explore the ethical frameworks and principles governing responsible AI development.
• Address Fairness and Bias
  Learn strategies to mitigate biases and ensure fairness in AI algorithms and decision-making processes.
• Enhance Transparency and Interpretability
  Discover techniques to enhance the transparency and interpretability of AI systems for better accountability.
• Implement Accountability and Governance
  Understand the importance of accountability and governance mechanisms in AI projects to foster responsible innovation.
• Safeguard Privacy and Data Protection
  Learn best practices for safeguarding user privacy and ensuring compliance with data protection regulations in AI applications.