ASD ISM 2091 Enforce resource limits for AI models

Managers should define clear resource allocation limits for AI models.

Determine how much computing power, memory, and data each AI model will be allowed to use. This involves understanding your organisation's overall capacity and ensuring individual use doesn't exceed it.

The IT team should monitor AI model performance and resource use.

Set up tools that can alert them if an AI model starts using more resources than allocated. This involves regular checking of system dashboards and setting alerts on unusual spikes.

Procurement officers should review AI software contracts.

Ensure that vendor agreements specify resource consumption limits and penalties for exceeding them. This includes negotiation terms aligned with expected operational needs and budget constraints.

System administrators should configure systems to enforce these limits.

Use software settings or external tools to automatically restrict AI models if they try to exceed their resources. Ensure these configurations are tested for effectiveness without affecting normal AI operations.

HR should train staff on the importance of adhering to AI resource limits.

Educate team members on how exceeding these can impact the business, using real-world scenarios. This ensures everyone understands the collective responsibility for maintaining these boundaries.