AI Ethics Audit & Responsible Design
Ensuring ethical AI implementation and design
About This Project
This project involves auditing an AI system (such as a facial recognition model) for bias, fairness, and privacy issues. It includes creating comprehensive documentation on observed risks and proposing an ethical framework for responsible AI design and deployment.
Core Concepts
- Ethical AI principles
- Bias detection and mitigation
- Fairness metrics and assessment
- Privacy protection mechanisms
- Ethical framework development
- Documentation of ethical audits
Key Knowledge/Skills
- Ethical analysis frameworks
- Bias detection techniques
- Policy development and governance
- Risk assessment for AI systems
- Privacy-preserving methodologies
- Stakeholder engagement in ethical reviews
Coursework Covered
Ethics, Policy, and Social Impact