Building an AI Governance Framework: Essential Steps
Course
Charmaine Valmonte, Mario Demarillas and David Siah outline key steps for developing AI governance frameworks, covering responsible AI guidelines, appropriate human oversight and effective governance structures for deploying AI.
Organizations today face the challenge of creating effective AI governance frameworks that define AI's role and application within specific functions.
While AI’s automation capabilities enhance efficiency and innovation, they also introduce significant challenges related to accountability, transparency and ethical considerations. In the absence of proper AI governance, there is a heightened risk of privacy breaches, biased algorithms and the malicious exploitation of AI technologies.
In this session, the panelists will cover:
- Developing standards and guidelines for responsible AI design, development and deployment;
- Determining appropriate human involvement in AI-augmented decision-making;
- Building effective governance structures to enable security professionals to leverage AI confidently in risk assessment and threat response.
Here is the course outline:
Building an AI Governance Framework: Essential Steps |