There’s been a huge rush toward using AI (artificial intelligence) to build “conversational UIs“—user interfaces that allow us to type or speak to computers in natural language. Sorta. It’s the latest interaction mode and it comes after people interacting with machines, then talking to each other through machines, then talking to machines. Kindah like a conversation (but not really). Here’s a diagram of that progression:
Today, when you hear about all that, “AI” means a specialized kind of AI that’s hugely popular called machine learning. (Yeah, I didn’t make that a link, you can just google it. We all know that we all know how. You’ll find some OK stuff about it. )
So when Siri or Cortana, Amazon or Google, Apple or Facebook, IBM or GE—all of whom are infected with the AI meme—deploys the machine-learning brand of artificial intelligence, it might be good for you to think about it. (But then, that’s up to you.)
I think about machine learning being everywhere in the virtual world whenever I make a typo on my mobile and my text gets snatched away from me and turned into drivel. (Or every time I ask my intelligent assistant two related questions in a row and it behaves as if I’m the schizophrenic in the chat.)
And here’s how I think about it: Read more…
Mai and Heinz von Foerster in Pangaro’s 1970 Citroën DS21 in Pescadero, California, in the early 2000s (Photograph: Paul Pangaro)
Heinz von Foerster was born 105 years ago today. He was a major figure in the beginnings of cybernetics
from the middle of the 20th century, and through to its flowering as second-order cybernetics
. His ideas can be magical and one of his papers is still a favorite
and voted the favorite of students in cybernetics + design courses
year upon year. His wife, Mai, also magical in her clarity as well as succinctness (a trait not shared by Heinz), once said to me, “Heinz has a mind like a crystal.” He demonstrates this so well in his “Ethical Imperative”, a cybernetic koan worthy of contemplation and action: Read more…
Say you want to eat somewhere and you ask for my recommendation. I say, “Sure, I’ve got the best place for you: Luigi’s Pizza, on the corner of First & Commerce.”
You say, “Great, thanks—but why do you recommend Luigi’s?” What if I replied… Read more…
The NY Times has published a smart and useful article on the anatomy of the failure of a startup. Any product manager, or anyone working in a startup, can learn from the detailed sequence of steps that it took to kill Vine (that link will not work once they take the site down for good).
Vine is/was a well-executed app that was early in the game with video sharing, had clever ideas that suited the market, had good backing, had been acquired by a powerful player—and yet it died an unfair death, at least in startup terms. There were many moments of #fail that occurred, not in product design but in lots of other ways, except bad timing. Think of them as a checklist for what to watch out for. The article offers a real example of how tenuous a startup can be, and how a cascade of errors can kill even a healthy tech company.
Norbert Wiener is the centerpoint of a new project to raise awareness about the history of cybernetics.
There are quite a few videos, including a 16-minute trailer about the proposed full-length documentary (full disclosure: I’m advisor to the project and appear on-screen). The site also offers a wonderful talk by Andy Pickering, proposing a new synthesis and New Macy Meetings. (Andy started using the term “antidisciplinarity” in reference to cybernetics, which brought cybernetics to the attention of Joi Ito, director of the MIT Media Lab, as described in his piece in the Design + Science Journal.)
The relationship between a piece of code and the result of that code is nearly always a distant one. “Code” means a long string of text, written in an arcane logic. It takes months or more likely years to acquire coding skills. But the result of that code — a calculation, a screen display, user controls on an interface — must be approachable, transparent, and require only seconds or minutes to understand.
To understand conversation is to understand how we learn about the world and how we communicate and collaborate with others. Products and services can benefit from a better understanding of conversation. Designers benefit from understanding conversation better, because they can design for better conversations.
Conversation Model by Minsun Mini Kim, SVA IxD MFA Grad. Click for full view.