Principles Of Governance In Generative AI

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 Principles Of Governance In Generative AI

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Principles Of Governance In Generative AI
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.94 GB | Duration: 16h 57m


Navigating Risks, Compliance, and Ethics for Responsible Generative AI

What you'll learn
The Fundamentals of Generative AI (GenAI): Understand the core concepts and transformative potential of GenAI technology.
The Importance of Governance in AI: Explore why governance frameworks are essential for managing AI innovations responsibly.
Risk Identification and Management: Learn to identify, assess, and mitigate risks associated with deploying GenAI systems.
Third-Party Risk Management: Gain insight into evaluating and monitoring external partnerships to reduce third-party risks.
Vendor Compliance Strategies: Develop skills to ensure that vendors align with governance and security policies.
Data Leakage Prevention: Understand the risks of data leakage and explore methods to protect sensitive information in AI workflows.
Data Governance Frameworks: Learn how to define data ownership, stewardship, and retention policies for AI systems.
Regulatory Compliance in AI: Explore key regulations affecting GenAI, including strategies for managing compliance across jurisdictions.
Access Control Implementation: Gain practical insights into role-based access controls to secure GenAI applications.
User Awareness and Training Programs: Discover effective strategies for developing user training and awareness initiatives.
Monitoring User Behavior: Learn how to monitor GenAI system usage to detect anomalies and prevent misuse.
Identity Governance for AI Systems: Understand how to manage user identities and authentication securely in AI platforms.
Incident Response Planning: Develop strategies to respond effectively to AI-related incidents and conduct post-incident analysis.
Ethical Considerations in GenAI: Explore the ethical challenges in AI governance, focusing on transparency, fairness, and bias mitigation.
Governance of Approved Applications: Learn how to evaluate and update approved GenAI tools to align with evolving policies.
Future Trends in GenAI Governance: Gain insights into emerging technologies, AI regulation trends, and the future of AI governance practices.

 

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