AI Ethics & Policy
Understand bias, fairness, transparency, and AI regulation.
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After this skill you can…
- Identify types of bias in ML systems
- Apply fairness metrics (demographic parity, equalized odds)
- Summarise EU AI Act and key regulations
Watch (10 videos)
Responsible and Ethical AI
→ Develop trustworthy AI systems→ Implement data privacy measures
Practical Steps for Building Fair AI Algorithms
→ Design fair AI algorithms→ Mitigate biases in AI systems
Privacy in Data Science
→ Implement GDPR in data science projects→ Handle data differently for user privacy
Evaluate and Apply Ethical AI Models
→ Systematically assess multimodal AI performance→ Ensure ethical deployment at scale
Global Healthcare Data Privacy Frameworks
→ Implement data privacy frameworks in healthcare→ Ensure HIPAA and GDPR compliance
Practical Methodology and Ethics in AI
→ Evaluate AI models for ethical considerations→ Deploy AI models responsibly
Influencing the Organisation
→ Develop strategies for influencing organizational change→ Manage stakeholders in AI-related projects
A Quick Guide to AI Ethics 🤖 Day 5
→ Spot and correct bias in AI-generated content→ Analyze job descriptions for gendered language and cultural assumptions
Databricks AI Gateway for Data Protection | Demo
→ Protect data from unauthorized access→ Prevent PII from leaving the environment
Panel: Maximizing benefits and minimizing harms with language technologies
→ Identify potential biases in language technologies→ Develop strategies for fair and inclusive language technologies→ Evaluate the social benefits of language technologies
DeepCamp AI