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- #4 Text as tangible material, AI prediction feedback & More
#4 Text as tangible material, AI prediction feedback & More
Dive into this week's WitBits—your growing list of experiments and insights into Human-AI design.
👋 Hey designers and innovators,
Dive into this week's Witbits—your growing list of experiments and insights into Human-AI design.
Text as tangible material
Textual information lacks intuitive cues about relationships and inconsistencies between ideas. AI can help make these relationships and inconsistencies tangible.
Manage your data context
What if you could control how products and services perceive you by saving important data in your own manageable profile, which applications could request access to?
AI prediction feedback
When an observation is added to the context of the AI system or a conclusion is reached, users should be able to easily evaluate and dismiss it.
Ranking semantically
Large Language Models can rank content along virtually any dimension. This capability provides significant value by enabling users to explore and analyze semantically across a spectrum of any attributes.
✨ NEW: Start building your AI Literacy
We’re excited to introduce a new section on witlist.design dedicated to AI capabilities and modalities. Delve into the diverse abilities where AI systems excel, such as ranking, classifying, recommending, translating, and visualizing data. Discover the various modalities—visual, auditory, textual, and more—that define how AI perceives, processes, and communicates information.
AI literacy empowers designers to optimize outcomes and establish a synergistic relationship between human and artificial intelligence. Explore now and see how AI can elevate your design practice.
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See you in a week!
Explore all WitBits on witlist.design