AI Ethics Evaluation Tool
Evaluate your AI use case through multiple ethical frameworks
Ethical Yardstick by April C. Williams - The Ethical Data Doc
AI & Data Governance Services
Expert guidance to navigate the complex AI landscape.
Data Privacy and Compliance
- Implement frameworks that align with global privacy regulations.
- Assess risks and maintain data security practices.
- Ensure customer data is protected through proactive governance.
AI Ethics and Responsible Implementation
- Embed ethical considerations into AI system design.
- Identify and mitigate algorithmic bias.
- Establish transparency and accountability mechanisms.
AI Strategy Development
- Create a strategic roadmap for AI adoption and scale-up.
- Align AI initiatives with business goals and governance frameworks.
- Foster cross-functional leadership and collaboration.
Data Quality Management
- Define data quality metrics and continuous improvement cycles.
- Ensure high integrity and accuracy in data inputs for AI.
- Leverage governance tools to monitor and resolve issues.
Compliance Management
- Interpret and apply evolving AI and data regulations.
- Develop compliance tracking and audit systems.
- Ensure adherence to ethical and legal standards.