12 Questions AI Committees
Need to Be Asking, But Aren’t
AI committees face the challenging task of finding a balance between maintaining security and ensuring the rapid deployment of AI solutions. Implementing AI isn’t as simple as selecting a tool and putting it to work. It requires a thorough evaluation to make sure that the chosen AI technology not only enhances business performance but also upholds security standards and mitigates potential risks.
In this one-pager, we’ve listed the top 12 questions to ask, why they matter, and answers to look for to better ensure you find the best fit for your organization.
The Main Focus Areas to Consider:
When AI committees evaluate different technologies, it’s essential to focus on critical areas that impact the effectiveness and security of AI models, which include:
- Training data: Ensures AI accuracy and reduces biases by using high-quality, diverse datasets.
- Feedback and quality control: Refines models through continuous feedback, improving reliability and effectiveness.
- Data and model security: Protects sensitive information and maintains trust by preventing unauthorized access.
More content on Intrusion Analysis
Security Operations
Made Possible with ReliaQuest GreyMatter
Increase visibility, reduce complexity, and manage risk across your existing tools with comprehensive protection unified under a single security operations platform.
