Course Summary
DEBIZ makes ethical principles accessible, and risk mitigation possible for all your data-driven initiatives.
Trust, a Must:
• Industry and governments are enacting more regulation to ensure trustworthy tech. DEBIZ can help you define how to develop processes to stay abreast of these dynamic requirements.
Lead Ethical Data Initiatives:
• Verify that your data stakeholders have the requisite knowledge to design and deliver ethically aligned projects.
Module 1: Introduction to Data Ethics
• Define Ethics
• Define Data
• Define Data Ethics
• Principles of Data Ethics
• The Case for Data Ethics
• Identifying Ethical Issues
• Ethical Principles
Module 2: Ethical Frameworks
• Applying Ethical Frameworks
• Privacy, Fairness, and Safety
• Applying Privacy, Fairness, and Safety Principles
• Algorithms and Human-Centered Values
• Discussing True and False Positives and Negatives
• Discussing Accuracy and Precision
• Discussing Correlation and Causation
• Transparency and Explainability: The Black Box Problem
• Discussing Black Box Parallels
• Inclusive Growth, Sustainable Development, and Well-Being
• Examining a Tech for Good Organization
• Improving Ethical Data Practices
• Sources of Ethical Risk
Module 3: Bias and Discrimination
• Case Study: Allegheny Family Screening Tool
• Data Surveillance
• Safety and Security
• Case Study: PredPol
• Business Considerations
Module 4: Data Legislation
• Manage the Effects of Data
• Case Study
• Embed Organizational Values in the Data Value Chain
• Building a Data Ethics Culture/Code of Ethics
• Stakeholder Checklist
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