Generative AI Governance Dimensions
Tags: Frameworks
TL;DR —
- Governance spans: Personal Data Privacy, Intellectual Property, Crime Prevention, Reliability & Trustworthiness, System Security.
- Provides a clear checklist for end-to-end AI risk management.
Why it matters for HK marketers: These five lenses define the policy and control stack vendors and teams must evidence before shipping AI-enabled campaigns.
The five dimensions
- Personal Data Privacy: End-to-end privacy controls across collection, training, deployment; emerging approaches like Federated Learning to minimise data exposure.
- Intellectual Property: Training-data copyright use and output ownership/infringement risks; need to balance innovation and creators’ rights.
- Crime Prevention: Mitigate deepfakes, fraud, and misuse; ensure transparency about capabilities/limits to maintain public trust.
- Reliability & Trustworthiness: Establish accountability for false/biased outputs; reduce opacity and enable responsibility attribution.
- System Security: Protect against unauthorised access, reverse attacks, and data poisoning; continuous monitoring and audits.
Practical controls
- Data diversification, cleaning, and authorisation.
- Content labeling and provenance measures.
- Bias mitigation in data and evaluation.
- Transparent documentation of model logic and usage rules.
So what for marketers —
Use the five dimensions as your AI governance checklist for vendor selection, creative reviews, and data-sharing agreements.
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