If It Looks Like a Human and Sounds Like a Human

Overview

Explore insights on building realistic bots and their impact on human-machine interactions, featuring experts from x.ai and Google Cloud.

Syllabus

• Introduction to Human-like Bots
Overview of AI in human-machine interactions
Importance of realism in synthetic agents
• Psychology of Interaction
Understanding human communication patterns
The uncanny valley: Finding the balance
• Designing Realistic Conversational Agents
Language processing and generation
Natural language understanding strategies
Advances in AI-driven conversation
• Technical Architecture of Bots
Basic AI models for conversation
Integration with cloud services: Case study from Google Cloud
Scalability and maintenance
• Ethical Considerations
Privacy and data protection
Ethical implications of AI interaction
Truth in communication: Transparency of bot identity
• Case Studies
Insights from x.ai: Intelligent scheduling assistants
Google Cloud's conversational AI strategies
• Impact on Human-Machine Interaction
Changes in customer service and support
AI companions and personal assistants evolution
• Future of Human-like Bots
Emerging technologies and trends
The future role of human-like bots in society
• Course Wrap-up
Key takeaways
Open discussion on future challenges and opportunities

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Subjects

Conference Talks