The bi-weekly curated resources list for UX professionals
Receive a hand picked list of the best user experience design links every second week. Curated by Anders Toxboe. Published every second Thursday.
The best resources on Artificial intelligence.
Great visual primer on machine learning
Find out how and why machine learning makes products and services better.
How you make machine learning transparent to users is one of the great design challenges of our timebut a necessary one.
Prediction has the power to drive the future of interaction. Feeding a historical dataset into a system that uses machine-learning algorithms to predict outcomes makes prediction possible.
Ethics: Googles guidelines for human-centered machine learning.
7 steps to stay focused on the user when designing with Machine Learning
Solve the friction between getting data into the AI and the data users are willing to provide.
Why Less is More in UX Design
Automate to streamline workflows, or eliminate them altogether
Feeds are a popular design pattern, but its time we came up with something better.
Study: People interacting with systems built on machine-learning algorithms had weak mental models and difficulties making the UI do what they want.
Too much personalization leads to homogeneous experiences for users and can generate content fatigue and lack of diversity.
A look into the practice of harvesting user data to personalize web content - from rewards (this website gets me!) to risks (creepy!).
Generate UI components with simple prompts using AI.
Automation and artificial systems are present everywhere. For the people living there for years, it might be normal, but it was a new experience when I moved to the San Francisco
Understand how our brain makes choices, estimates probabilities, combines probabilities, and values and assesses risk dimensions.
How will patterns and experiences evolve in a world shaped by Artificial Intelligence? Go throught his library of emerging patterns of interaction, affordances, and heuristics in an AI world.
Mature code-generation technology, coupled with advanced generative AI image models, has shortened the journey from idea to fully operational application.
In the AI era, implementing robust policies, verification systems, and user education initiatives, platforms can foster trust and in an evolving landscape.
A Design Pattern library exploring how patterns and experiences will change in a world driven by Artificial Intelligence
Unleash your creativity with this AI-powered design tool
Synthetic insights are not research. They are the fastest path to destroy the margins on your product.
Understanding Why We Do Discovery: Its Not About Checking Boxes
Our practice is built on our Principles for the AI Era as a resource for all designers and developers. This shared collection of ethics, guidelines, and resources ensures that IBM products share a unified foundation.
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Chief Product Officer Craig Saldanha of says AI is already transforming the Yelp experience.
We've all watched with simultaneous fascination and trepidation as a flood of AI-powered tools continues to wash over the digital landscape.
Traditional design thinking has laid the foundation for how problems are approached and addressed. It is still considered a valuable tool to address a problem. With the evolution of Generative AI, the focus has shifted towards integrating LLMs into workflows.
How we approached AI research tools
From AI Overviews to automatic categorization, Google is bringing AI to practically every part of the search process.
UX professionals have been cautiously embracing AI in their work. AI tools like ChatGPT, InferKit, and DeepAI could assist in various stages of the research process, from problem definition to literature review and recommendations. For UX researchers and people conducting research in general, this could potentially streamline our workflow in several ways:
Synthetic insights are not research. They are the fastest path to destroy the margins on your product.
Artificial Intelligence meets UX design. Discover AI-infused UX, its impact on the design process, and how to design AI-powered products.
AI advancements offer new possibilities but also pressure. Rushing to integrate AI chat into your product will not solve all user needs.
UX teams must be integrated in the AI model training process.
With the proper context, prompts, and scrutiny, AI chatbots can be used to create a successful user-research plan.
GenUI promises highly personalized interfaces a move from designing for many to tailoring for the individual.
Receive a hand picked list of the best user experience design links every second week. Curated by Anders Toxboe. Published every second Thursday.