Podcast
Questions and Answers
What is the primary goal of explaining the reason behind AI features?
What is the primary goal of explaining the reason behind AI features?
- To showcase the AI's capabilities
- To increase the AI's accuracy
- To provide additional information to users
- To foster transparency and trust with users (correct)
How does Amazon clarify its product suggestion algorithm?
How does Amazon clarify its product suggestion algorithm?
- By hiding the algorithm from users
- Through a complex mathematical formula
- By explaining the rationale in human-friendly language (correct)
- By providing a detailed technical report
What is the benefit of keeping recent interactions with the user in 'short-term' memory?
What is the benefit of keeping recent interactions with the user in 'short-term' memory?
- To improve the AI's accuracy
- To offer a natural, seamless experience (correct)
- To reduce the amount of data stored
- To provide a more personalized experience
What is an example of an AI system that recalls previous interactions?
What is an example of an AI system that recalls previous interactions?
Why is it important to make clear why the system did what it did?
Why is it important to make clear why the system did what it did?
What is the term for the concept of explaining the reason behind AI features?
What is the term for the concept of explaining the reason behind AI features?
What is the outcome of not making clear why the system did what it did?
What is the outcome of not making clear why the system did what it did?
What is the benefit of providing contextual information to users?
What is the benefit of providing contextual information to users?
What is the primary goal of encouraging granular feedback in Human-AI Interaction?
What is the primary goal of encouraging granular feedback in Human-AI Interaction?
What are Human-AI Interaction design patterns?
What are Human-AI Interaction design patterns?
What is an example of granular feedback in Human-AI Interaction?
What is an example of granular feedback in Human-AI Interaction?
What is the focus of Human-AI Interaction study and design?
What is the focus of Human-AI Interaction study and design?
What is the name of the online resource that provides design patterns for Human-AI Interaction?
What is the name of the online resource that provides design patterns for Human-AI Interaction?
What is the purpose of Takeaways in the context of Human-AI Interaction?
What is the purpose of Takeaways in the context of Human-AI Interaction?
What is an example of a resource for learning about Human-AI Interaction?
What is an example of a resource for learning about Human-AI Interaction?
What is the primary benefit of encouraging granular feedback in Human-AI Interaction?
What is the primary benefit of encouraging granular feedback in Human-AI Interaction?
What is the main goal of Human-AI interaction?
What is the main goal of Human-AI interaction?
What is Human-AI interaction?
What is Human-AI interaction?
What is the HAX toolkit developed by Microsoft for?
What is the HAX toolkit developed by Microsoft for?
What is the primary purpose of the Guidelines for Human-AI Interaction?
What is the primary purpose of the Guidelines for Human-AI Interaction?
What is one of the characteristics of AI systems?
What is one of the characteristics of AI systems?
What is the purpose of Human-AI interaction design patterns?
What is the purpose of Human-AI interaction design patterns?
What is the focus of human-AI interaction?
What is the focus of human-AI interaction?
What is the number of Human-AI Interaction Design Patterns provided by Microsoft?
What is the number of Human-AI Interaction Design Patterns provided by Microsoft?
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
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- Remember Recent Interactions: Keep recent interactions with the user in “short-term” memory to offer a natural, seamless experience.
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- Make Clear Why the System Did What It Did: Explain the reason behind AI features to foster transparency and build trust with users.
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- Make Clear Why the System Did What It Did: Explain the rationale behind AI features in human-friendly language.
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- Encourage Granular Feedback: Seek as much feedback from the user as possible without distracting or annoying them.
Resources
- Readings: "What is Human-AI Interaction (HAX)?" by Interaction Design Foundation, and "HAX Design Library" by Microsoft.
- Websites: https://www.microsoft.com/en-us/haxtoolkit/library/ and https://www.interaction-design.org/literature/topics/human-ai-interaction
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Description
Learn about the importance of transparency in AI systems, including explaining the reasoning behind AI features to build trust with users.