Alexa's Next AI Trick - Disappearing

Overview

Explore Amazon's 'ambient intelligence' philosophy for AI development, focusing on technology that assists when needed and fades into the background, contrasting with screen-centric approaches.

Syllabus

• Introduction to Ambient Intelligence
Definition and core principles
Historical context and development
Key differences from traditional AI approaches
• Amazon's Philosophy on Ambient Intelligence
Overview of Amazon's AI developments
Alexa as a case study
Contrasts with screen-centric technologies
• Technology and Infrastructure
Sensors and IoT integration
Cloud computing and data management
Edge computing: processing at the source
• Privacy and Ethical Considerations
Data privacy policies and compliance
Ethical implications of ambient technologies
Transparency and trust building
• Design Principles for Disappearing AI
User-centric design
Seamless interaction and natural interfaces
The balance between visibility and invisibility
• Case Studies and Applications
Smart home ecosystems
Industrial applications and workplace integration
Healthcare and personal wellness
• Challenges and Future Directions
Technical and engineering challenges
Market adoption barriers
Future trends in ambient intelligence
• Practical Workshop
Designing a prototype ambient AI service
User feedback and iteration
Presentation and critique
• Conclusion
Recap of key concepts
The future of ambient AI and personal reflection
Paths for further learning and exploration

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Subjects

Conference Talks