End User Reviewer System for Policy Enforcement
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Solution Overview
Problem
In multi-user interactive computing environments, administrative-level policy reviewers face challenges in efficiently handling policy controversies, such as user name disputes, due to the difficulty in implementing machine intelligence and the cost-effectiveness of scaling human review agents as the user base grows.
Innovation Solution
Implementing an end user reviewer system where vetted users review policy controversies, with accuracy weightings assigned based on their performance, allowing for automatic enforcement of policy decisions when a threshold is met, and forwarding disputes to administrative reviewers for final decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrative-level policy reviewers are used to handle policy controversies, then policy enforcement accuracy is maintained, but the cost and complexity scale linearly with user base growth
Solution Approach 1:
The patent segments the reviewer population into multiple levels: end user reviewers (first-level reviewers) and administrative reviewers (second-level reviewers). This segmentation allows the system to distribute the review burden across many end users while maintaining administrative oversight for complex cases, thereby maintaining accuracy without linearly scaling administrative complexity with user base growth
Solution Approach 2:
The patent introduces end user reviewers as intermediary agents between policy violations and administrative enforcement. These intermediary reviewers perform initial assessments and filtering of policy controversies, reducing the volume of cases requiring administrative review while maintaining enforcement accuracy through their trained judgment
2Productivity
If more human review agents are scaled to handle growing user base, then policy controversy handling capacity increases, but human and financial resources are consumed
Solution Approach 1:
The patent implements a self-service review model where end users voluntarily serve as reviewers for policy controversies. By leveraging the existing user base to perform review functions, the system increases handling capacity without proportionally increasing human resource costs, as reviewers are drawn from the community rather than requiring additional hired staff
Solution Approach 2:
The patent makes end users multi-functional by having them serve both as content consumers and policy reviewers. This universality allows the same user base to perform multiple functions (using the service and reviewing policies), thereby increasing handling capacity without requiring additional dedicated review personnel
3Productivity
If machine intelligence is implemented for policy review, then scaling efficiency improves, but implementation difficulty arises due to complexity of policy judgment
Solution Approach 1:
The patent uses trained end user reviewers as intermediary agents who bridge the gap between automated systems and complex policy judgment. These human intermediaries perform nuanced policy assessments that would be difficult to automate, while still operating within a structured system that maintains efficiency and scalability
4Productivity
If end user reviewers are used for policy enforcement, then administrative burden is reduced and resources are conserved, but system robustness must be maintained through calibration
Solution Approach 1:
The patent implements feedback mechanisms where end user reviewer decisions are monitored, evaluated, and used to provide continuous calibration. Reviewers receive feedback on their decision accuracy and consistency, allowing the system to maintain enforcement reliability while operating with reduced administrative burden through automated monitoring and adjustment
Data Source
AI summary
Embodiments are disclosed that relate to enforcement of user policies in a multi-user interactive computing environment by end user review. For example, one disclosed embodiment provides, on a computing device, a method comprising receiving a notification of a current policy controversy, and sending information regarding the current policy controversy to each end user reviewer of a plurality of end user reviewers, each end user reviewer being a member of an enforcement federation of a plurality of enforcement federations. The method further comprises receiving enforcement decisions from one or more responding end user reviewers of the plurality of end user reviewers, and if the enforcement decisions received meet an enforcement threshold, then automatically enforcing a policy rule.