aimeets.design
Building a bridge between the disciplines of AI & design and exploring how to design human-centered AI applications
AI meets Design toolkit
A set of tools for each step of the design (thinking) process to help designers turn AI into social, user, and business value. It's an invitation to designers and innovators everywhere to design with and for machine intelligence to create human-centered applications and meaningful user experiences. It includes:
What-if prompt card deck for ideation Service blueprint opportunity mapping Assessing feasibility, viability & desirability of AI ideas Worksheets to align designers, engineers & BA’s Overview of UX and design challenges Read more if you're not yet convinced.
Inside the toolkit you'll find:
A 2-page crash course in AI/ML to help you get up to speed on different kinds of artificial intelligence and machine learning
Prompts to start spotting opportunities based on user needs, AI capabilities, and data availability and a card deck with 30 prompts of common AI applications for ideation sessions
Exercises to align with your machine learning engineers and data scientists on the model, confusion matrix, and evaluation metrics
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Design patterns
This is a preview of what we want to develop next: a library of design patterns for the UX of AI. Reach out if you'd like to get involved.
Set intent
Give the user simple controls to set intent on what behavior to re-inforce, rather than assuming past behavior is desired.
Explaining output
Allow the user to see a simplified break-down of the model's logic including which data, features, and weights were considered for the output.
Exclude this activity
The user needs a way to exclude certain activities from being processed as input data for the algorithm, much like a mute button or 'incognito' mode.