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)
Privacy in Data Science
→ Implement GDPR in data science projects→ Handle data differently for user privacy
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
In pursuit of responsible AI: Bringing principles to practice
→ Implement responsible AI practices→ Ensure AI system reliability→ Conduct error analysis
Responsible Use of Artificial Intelligence and Machine Learning - AWS Online Tech Talks
→ Implement fair AI systems→ Identify biases in AI models→ Develop transparent AI solutions
The Oxford Executive Diploma in Artificial Intelligence for Business
→ Apply AI Ethics in Business→ Develop AI Governance Strategies→ Ensure Responsible AI Use
Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
→ Address ethical considerations in automated vehicle development→ Develop safety protocols for self-driving cars
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu - #417
→ Design and implement responsible AI guidelines for computer vision applications→ Ensure ethical use of spatial analysis software for social distancing and surveillance
Responsible Data Science in the Fight Against COVID-19 (Coronavirus)
→ Apply ethical considerations to data science projects→ Avoid promoting misinformation
DeepCamp AI