Source URL: https://cloudsecurityalliance.org/articles/why-we-re-launching-a-trusted-ai-safety-knowledge-certification-program
Source: CSA
Title: What Is the New Trusted AI Safety Knowledge Certification?
Feedly Summary:
AI Summary and Description: Yes
Summary: The provided text discusses the introduction of the Trusted AI Safety Knowledge certification program developed by the Cloud Security Alliance and Northeastern University. It emphasizes the importance of AI safety and security as organizations increasingly adopt AI technologies, and outlines the program’s focus on ethical principles, risk assessment, and the full AI lifecycle.
Detailed Description:
The text outlines the evolving landscape of security paradigms in the context of Artificial Intelligence (AI), highlighting the transition from traditional perimeter defenses to the adoption of the Zero Trust framework and the challenges brought about by AI technologies. Here are the key points:
– **AI Adoption Statistics**: The text cites a survey indicating that 69% of organizations are currently utilizing AI products, with an additional 29% planning to adopt them, indicating a significant industry shift towards AI integration.
– **Need for New Frameworks**: The rapid adoption of AI necessitates new skills and frameworks, focusing on:
– Applying ethical principles to AI development and behavior.
– Reengineering workflows to maximize AI’s potential while incorporating critical evaluation of generative AI outputs for biases and dangers.
– **Certification Program**: The introduction of the Trusted AI Safety Knowledge certification aims to provide professionals with the skills necessary to manage the entire AI lifecycle, which includes:
– Building, securing, deploying, maintaining, and decommissioning AI systems.
– Emphasizing an ethical approach in AI development and use.
– **Integration of AI Safety and Security**: The text articulates that AI safety—ensuring ethical and reliable AI systems—is distinct yet closely related to AI security, which focuses on protecting these systems from threats.
– **Program Structure**: The certification will offer a modular training path covering essential topics such as:
– AI architecture and lifecycle risks.
– Ethics, governance, and security within cloud environments for AI.
– **Target Audience**: The program is aimed at practitioners involved in AI system design, development, and deployment, emphasizing the importance of responsibility alongside innovation.
– **Partnership with Northeastern University**: This collaboration brings academic rigor and practical expertise to the certification program, ensuring relevance in a fast-evolving sector.
– **Call to Action**: The text encourages interested parties to get involved early by registering for beta testing of the certification program, highlighting a spirit of collaboration in enhancing AI safety and security practices.
Overall, the initiative reflects a strategic approach to equipping industry professionals with the knowledge to responsibly manage AI technologies, reinforcing a critical focus on safety and security amidst rapid technological advancement. This is particularly relevant for security and compliance professionals navigating the complexities of AI deployment and governance.