Lesson 9 Flashcards
Enhances interactive systems by providing smarter, adaptive, and efficient user interaction
AI (Artificial Intelligence)
AI can tailor content and interaction based on user preferencse and behaviour
AI Personalization
Applications like chatbots and voice assistants that understand and respond to human language
Natural Language Processing
AI-Powered systems that recognize and interpret visual inputs for applications like augmented reality filters and facial recognition
Computer Vision
Adaptive interfaces that anticipate user needs and behaviors
Improved User Experience (Benefits of AI)
Automation of repetetive tasks and smarter data-driven insights
Efficiency of AI (Benefits of AI)
About ethical implications and user concerns regarding data collection and AI-driven decisions
Privacy Concerns (Challenges of AI)
How biased training data can lead to unfair AI outcomes, emphasizing the need for diverse datasets and inclusive algo
Bias and Fairness (Benefits of AI)
Making AI decisions understandable for users (displaying how a recommendation is made)
Transparency (Understanding AI’s Role)
Providing users with feedback on how their interactions influence AI-drivenn outcomes
Feedback Mechanisms (Undestanding AI’s Role)
Interfaces should explain the AI’s actions and provide users with insight into how the system works
Explainability (Design Principles)
Balance between AI automation and user control.
Control and Autonomy (Design Principles)
Designing ways for users to understand and recover from AI error gracefuly
Error Handling and Recovery (Design Principles)
