[ONLINE] Exploring the Intersection of Music and Artificial Intelligence
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[ONLINE] Exploring the Intersection of Music and Artificial Intelligence Online
Join us for a 60-minute in-person workshop hosted by the Centre for Artificial Intelligence Ethics, Literacy and Integrity (CAIELI), focusing on the intersection of music and Artificial Intelligence (AI). This workshop is perfect for students, educators, and enthusiasts who are curious about how AI can transform music creation, performance, and education. Whether you're new to AI or already experimenting with it in your music practice, this workshop will help you explore its exciting possibilities.
What to Expect:
1. Examples of AI in Music: Experience AI-driven music composition, sound design, and performance tools in action. We’ll showcase real-world examples of how AI is being used to create music across genres and styles.
2. Practical Applications: Discover hands-on demonstrations of AI tools, such as AI platforms that assist in composition. Learn how these tools can complement traditional music practices and inspire new creative approaches.
Who Should Attend:
- Musicians, composers, and producers interested in the future of AI-driven music creation
- Music educators looking to integrate AI into their teaching practices
- University instructors across disciplines curious about AI’s role in creative arts education
Why Attend:
- Explore cutting-edge AI technologies in the context of music
- Discover campus resources and tools to help you experiment with AI in your musical practice
- Gain practical knowledge that you can apply to your music or teaching practice
No prior experience with AI is needed—just bring your curiosity and passion for music!
Please register for this event below.
Can't attend? Stay tuned for future sessions on AI and music!
- Date:
- Tuesday, December 10, 2024
- Time:
- 10:00am - 11:00am
- Time Zone:
- Mountain Time - US & Canada (change)
- Campus:
- TFDL
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Faculty Graduate Undergraduate
- Categories:
- AI Centre
Image credit: Session image created with DALL-E3 through Microsoft Copilot.