AI-Powered Innovation: Creating an Inclusive Journey with EY and Azure AI

Overview

Discover how Microsoft and EY collaborate to create inclusive AI solutions through Azure AI Foundry, featuring insights from neurodivergent developers and practical approaches to accessible AI development.

Syllabus

• Introduction to AI-Powered Innovation
Overview of AI and its impact on innovation
Importance of inclusivity in AI development
Introduction to Azure AI Foundry
• Collaboration of Microsoft and EY
The partnership between Microsoft and EY
Leveraging Azure AI for inclusive solutions
Case studies of successful projects
• Understanding Neurodiversity in AI Development
Definition and importance of neurodiversity
Challenges and opportunities for neurodivergent developers
Success stories from neurodivergent professionals
• Practical Approaches to Accessible AI Development
Principles of accessible AI design
Tools and frameworks for developing inclusive AI
Strategies for testing and evaluating accessibility
• Insights from Neurodivergent Developers
Personal experiences in the development process
Unique perspectives and contributions to AI innovation
Creating supportive environments for diverse teams
• Azure AI Tools and Services for Inclusive Design
Overview of Azure Cognitive Services
Using Azure Machine Learning for accessibility
Integrating AI tools into existing workflows
• Ethical Considerations and Best Practices
Ethical implications of AI technologies
Best practices for responsible and inclusive AI use
Ensuring fairness and transparency in AI systems
• Project Development and Implementation
Identifying potential projects for inclusive AI
Steps for planning and executing AI projects
Measuring impact and success of inclusive AI solutions
• Case Studies and Real-World Applications
Detailed analysis of inclusive AI projects
Lessons learned from real-world implementations
Future trends in inclusive AI development
• Capstone Project
Designing an accessible AI solution
Presentations and peer feedback
Reflection and discussion on project outcomes
• Course Wrap-Up and Next Steps
Recap of key learning points
Opportunities for further learning and development
Networking and career development in AI and inclusivity

Subjects

Programming