Fundamentals of AI

• It is a tech that could connect with products
• It stimulated with Human Intelligence

<aside> 💡 https://pair.withgoogle.com/guidebook/

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Types (basic level)

1. Computer Vision: Example face detection
2. Machine Learning: Most access to human behavior, put it into result and produce output. Example Netflix
3. Natural Language Processing: Example Chatbot interacting with AI

AI Interface (most common)

1. Conversational → Communication between humans and AI such as Chat GPT
2. Visual → personalised features as in Netflix.
3. Gesture and Motion → Accessible solution for disabled users. Example Google Maps.
4. Predictive → Study user behavior and produce output. Example Amazon.

People-Centered AI Design

It is a broad area just covering basics here

People-Centered Approach

• UX research before anything else. See how to use data, what to use and how it will solve problems. Keep testing your project.
• UX research + Diverse data collection: are less biased and more accurate product is produced. Do this before AI training.

Best practices

1. Transparency and Explainability

   Being transparent about data and collection is essential. As well as explain to non-techy people how it works and what users can expect from your product. Use usable things.

   <aside> 🦉 Good visuals and good UX will help users identify and understand important information

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