Designing for Trust with Machine Learning in Data Unification

I wrote a quick post on issues of trust in machine learning.

… In ML, the most advanced computations are often the least explainable. (One can say the same about human cognition). Since its inception, Tamr’s design team has been prototyping around this complexity–not just from a technical perspective, but from a holistic one that is informed by psychological and cultural considerations.

Tamr’s blog: Designing for Trust with Machine Learning in Data Unification

Cognition & Craft Post on Emergent Use Cases

I recently wrote about why some of the best designs were never designed:

THE LANGUAGE OF DESIGN implicates a top-down culture. Designers spend years studying people and their behavior so they can optimize the artifacts people use to advance their agendas (if not the agenda of their employer). But an overly prescriptive view of design refuses to make eye contact with the fact that the world is only semi-designable. Because users are always finding new ways of using an object, a “design” is never fully “designed”. With any design, certain aspects will always be under- or undesigned. User interviews are punctuated with idiomatic reminders, like the defensive, “Oh, well that wasn’t part of the design,” or the prouder, “Of course, that feature was by-design”. Use-cases that emerge are the subject of this article.

Check out the original article here.

Cognition & Craft Post on How to Visualize Writing

I recently introduced a visualization for showing the process of writing in a document:

TEXT EDITORS (and the files they work) reveal surprisingly little about the history of editing. If you’re lucky, you get revisions to browse, and if not, you get undo/redo buttons. By adding temporal metadata to files, apps can display more than just the product–they can show process. This post introduces the writing graph, a timeline for viewing editing activity. A proof of concept below shows how new media artists, reflective writers and even casual readers can use this text visualization to learn more about what they’re reading.

Check out the original article here.