Office of the Australian Information Commissioner has issued updated guidance to ensure that organizations using #AI comply with #privacy laws and adopt best practices to protect personal information.
Here are key considerations and best practices from the guidelines:
Transparency & Governance
It's critical that organizations maintain transparency in their use of AI. Ensure that privacy policies are updated to clearly inform users about the use of AI systems.
Privacy by Design
- AI systems should be developed with privacy by design in mind. This means embedding privacy measures throughout the lifecycle of AI products.
- Conduct Privacy Impact Assessments to assess risks before implementing AI solutions and ensure human oversight.
- Regularly reviewing these systems ensures ongoing compliance and performance.
Handling Personal Information
Any personal information—whether collected, generated, or inferred by AI systems—falls under the Australian Privacy Principles. This includes data produced through generative AI models. Organizations must handle such information lawfully and fairly.
Limiting Secondary Use of Data
AI systems should not use personal information for purposes beyond those for which it was originally collected, unless specific consent is obtained or the secondary use aligns with reasonable expectations. Organizations should ensure that their collection notices and #privacypolicies are clear about any potential secondary uses.
Ensuring Accuracy of AI Outputs
AI systems are known to produce inaccurate or biased outputs. Businesses must take reasonable steps to ensure that any personal information generated or processed by AI is accurate, up-to-date, and relevant to its intended purpose. Implement safeguards like regular audits, human review of AI outputs, and processes for correcting inaccuracies.
Security & Data Protection
Organizations must ensure that all personal information is protected. When selecting an AI product, assess the security measures in place, especially if the system will process or store #personaldata in the #cloud or if the AI developer can access data. Regular security reviews, especially for AI systems integrated into critical business functions, are crucial to preventing data breaches.
Good Practices for AI Selection & Deployment
- Always perform due diligence when selecting an AI product. Ensure it’s been tested for your specific use cases and that it adheres to #privacybydesign principles.
- Limit the amount of personal information entered into AI systems and opt for privacy-preserving techniques.
- Establish clear governance policies to ensure human oversight.
- Regularly #audit AI systems.
Autor: Sebastian Burgemejster
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