HAX Design Patterns: Transparency in AI Systems

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24 Questions

What is the primary goal of explaining the reason behind AI features?

To foster transparency and trust with users

How does Amazon clarify its product suggestion algorithm?

By explaining the rationale in human-friendly language

What is the benefit of keeping recent interactions with the user in 'short-term' memory?

To offer a natural, seamless experience

What is an example of an AI system that recalls previous interactions?

ChatGPT's conversational AI

Why is it important to make clear why the system did what it did?

To build trust with users

What is the term for the concept of explaining the reason behind AI features?

Make Clear Why the System Did What It Did

What is the outcome of not making clear why the system did what it did?

Lack of transparency

What is the benefit of providing contextual information to users?

To improve user understanding of the system's decisions

What is the primary goal of encouraging granular feedback in Human-AI Interaction?

To obtain as much user input as possible without being distracting

What are Human-AI Interaction design patterns?

Standardized solutions to common problems in human-AI interaction design

What is an example of granular feedback in Human-AI Interaction?

Liking and disliking individual AI responses

What is the focus of Human-AI Interaction study and design?

Designing interfaces for human-AI interaction

What is the name of the online resource that provides design patterns for Human-AI Interaction?

HAX Design Library

What is the purpose of Takeaways in the context of Human-AI Interaction?

To summarize key points of human-AI interaction design

What is an example of a resource for learning about Human-AI Interaction?

Interaction Design Foundation

What is the primary benefit of encouraging granular feedback in Human-AI Interaction?

Enhanced user experience through personalized interactions

What is the main goal of Human-AI interaction?

To create AI systems that are user-friendly, trustworthy, ethical, and beneficial for humans

What is Human-AI interaction?

Designing AI systems that can perform tasks that usually require human intelligence

What is the HAX toolkit developed by Microsoft for?

Guiding human-AI interaction design

What is the primary purpose of the Guidelines for Human-AI Interaction?

To synthesize more than 20 years of thinking and research in human-AI interaction

What is one of the characteristics of AI systems?

Performing tasks that usually require human intelligence

What is the purpose of Human-AI interaction design patterns?

To guide the design of user-friendly, trustworthy, ethical, and beneficial AI systems

What is the focus of human-AI interaction?

Creating AI systems that are user-friendly, trustworthy, ethical, and beneficial for humans

What is the number of Human-AI Interaction Design Patterns provided by Microsoft?

8

Study Notes

Human-AI Interaction (HAX)

  • Human-AI interaction studies and designs how humans and artificial intelligence (AI) systems communicate and collaborate.
  • AI systems are computer programs that can perform tasks that usually require human intelligence, such as understanding natural language, recognizing images, making decisions, and learning from data.

HAX Design Patterns

  • Microsoft has developed a comprehensive toolkit for Human-AI Interaction (HAX) that includes guidelines, patterns, and examples.
  • The Guidelines for Human-AI Interaction synthesize more than 20 years of thinking and research in human-AI interaction.
  • There are 8 patterns in the HAX Design Library, including:

Patterns

    1. Remember Recent Interactions: Keep recent interactions with the user in “short-term” memory to offer a natural, seamless experience.
    1. Make Clear Why the System Did What It Did: Explain the reason behind AI features to foster transparency and build trust with users.
    1. Make Clear Why the System Did What It Did: Explain the rationale behind AI features in human-friendly language.
    1. Encourage Granular Feedback: Seek as much feedback from the user as possible without distracting or annoying them.

Resources

Learn about the importance of transparency in AI systems, including explaining the reasoning behind AI features to build trust with users.

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