Open Challenge Setter: Cambridge University Press & Assessment

Challenge 1: AI Regulatory & Ethical Risk Detection

Ensuring Ethical AI Deployment Across Diverse Regulatory Environments

0/8 Teams

2-5 Team Size

0 Registered Teams

8 Spots Available

Problem Overview

Deploying AI solutions internationally means navigating a patchwork of regulations, ethical standards, and data governance requirements. Teams must ensure compliance with local laws (e.g., GDPR, CCPA, China's PIPL), respect cultural norms, and maintain transparency.

There is a need for AI systems that can dynamically adapt to different regulatory and ethical contexts, flagging potential compliance risks and guiding responsible deployment.

Challenge Statement

How might we design an AI system that automatically detects, visualizes, and explains regulatory and ethical risks in real-time, adapting its behaviour and recommendations to the local context of deployment?

Scope & Focus

Target Users:

AI developers, compliance officers, legal teams, and business leaders deploying AI internationally.

Possible Solutions:

Compliance monitoring dashboards, adaptive risk assessment engines, regulatory mapping tools, or any other approach you choose.

Key Elements to Consider

Real-time Detection: Integrate real-time regulatory and ethical risk detection, with clear visualizations and explanations.
Dynamic Adaptation: Enable dynamic adaptation of AI system behaviour based on local laws and cultural norms.
Actionable Guidance: Provide actionable guidance for remediation or escalation when risks are detected.
Data Protection: Carefully consider how sensitive data is handled and protected in your prototypes.

Desired Outcomes

A prototype balancing technical compliance and ethical transparency, showing how AI can be responsibly deployed across borders.
A 5-minute video and pitch deck explaining the regulatory and ethical concepts, and how your solution supports safe international AI deployment.

⚠️ Important: BOTH Prototype and Video are essential!