Data ownership

Manage your data context

You should control how products and services (not) access your data through a manageable profile. This allows you to create a relevant context across many platforms while maintaining control.

An image showing a permissions request screen with a white background and green gradient header. The request is from OpenAI, asking to access a user's "datavault." The request includes checkboxes for "Personal information" (5 items), "Interests" (12 items), "Assistant preferences" (6 items), and "Contacts" (87 items). Each section has a dropdown arrow for more details, and there is a prominent "Allow" button at the top right.
Human needs

When asked for my data, I want to control access to the data I have built over time, so I can ensure services can assist me effectively while protecting my privacy.

Considerations
  • Bring your own data: Storing user context information in some form of browser can transform it into an integral part of your digital identity, accessible by any digital services in one place and only when needed and permitted.
  • Curating personal data: You can support users to identify and prioritize the most important data about themselves. For example through an interactive interview format.
  • Data Management agent: An AI-powered agent could assist people in managing and protecting their relevant data points, as it might be challenging for individuals to handle all the information on their own.
Explore Further
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More of the Witlist

Evaluate predictions

When an observation is added to the context from an implicit action and a prediction is made, users should be able to easily evaluate and dismiss it.

Prompts with nested data

Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.

Translate in X terms

Provide relatable and engaging translations for people with varying levels of expertise, experience and ways of thinking.

Realtime prompt feedback

Guide users to understand what makes a good prompt will help them learn how to craft prompts that result in better outputs.

Realtime voice interfaces

Voice interfaces should dynamically adapt to user interruptions, seamlessly incorporating them into the conversation ensuring a fluid and responsive dialogue.

Semantic highlights

Embedding models can rank data based on semantic meaning, evaluating each individual segment on a spectrum to show its relevance throughout the artifact.