Iterative regulation governs fast-moving technologies by revising or extending rules as new applications, risks, or shortcomings emerge. It differs from horizontal regulation, which seeks broad coverage across applications, by targeting particular uses and filling identified gaps over time. section 10.31
The approach creates a practical trade-off:
- Rapid updates can respond to emerging risks and make requirements more specific to regulators’ concerns. section 10.31
- Frequent changes can confuse developers and make ongoing compliance difficult. section 10.31
Algorithmic recommendations
China’s 2021 rules on algorithmic recommendation systems required greater transparency, user control over data use, prevention of undesirable or illegal information, and manual intervention aligned with government policies. Deepfakes were also identified as a threat to the information environment. section 10.31
