What could a trustful relationship between a business user and the digital assistant look like in practice?
One of the guiding design principles for intelligent systems is to empower end users. If we want people to trust machines, we must share information about the underlying models and the reasoning behind the results of algorithms.This is even more vital for business applications, when users are held accountable for every decision they make.
It’s widely accepted that intelligent systems must come with a certain level of transparency. There’s even a new term for it: explainable AI. But, that’s just the beginning. As designers, we need to ask ourselves how explainable AI is tied to user interaction. What do we need to think about when we explain the results and recommendations that come from built-in intelligence? And how can we make it a seamless experience that feels natural to users?
It is a common misconception that artificial intelligence inevitably means 100% automation. Movie producers would have us believe that AI is going to control absolutely everything — a Skynet scenario à la Terminator. So, if you design and implement an AI system, should you fear this or just ignore it? Is there a roadmap for intelligent automation of a specific system?
So what I am doing at SAP? I can not share everything, but may be a part of it…
Currently I am lucky to work as a UX designer on such an interesting topic as User Experience for Artificial Intelligence. As Google’s designer Josh Lovejoy mentions in Method podcast, there is currently nobody who can seriously claim he is an expert in UX for AI.
Indeed it is a very new field, so I start writing to share my thoughts, raise my questions and get into discussion with the community.
How does machine learning impact the user interface (UI)? Should I explicitly surface the system intelligence? How much should I explain? What is the feedback loop and when it is important? Are there any UI patterns I can follow?
I try to answer all these questions in my first article on the topic.
Great news: the year just begun and I already know CSS3 and HTML5. How it is possible? See the latest books from A Book Apart. I would really recommend to take an e-paper especially if you are a lucky owner of an IPad.
Looking forward for new releases.
On the first pages of ABAP Performance Tuning I’ve already learned something new. One of the most powerful methods of the performance tuning is the Kiwi Approach.
Kiwi = Kill It With Iron.
I had an intention to help by informing a webmaster but I didn’t find any single contact (or at least the way to contact the authors) on the whole website. Nothing. Closed like a Black Box.
May be this is a new step in UX evolution, who knows…
Constructing the custom 404 page for Diorama I was looking for best practices. Unfortunately, Wikipedia is not the best place to start in this case. The page itself, however, has several valuable instructions concerning Apache and IIS tuning.
Apart from this: what happens if you get lost by real artist :)
Recently on O’Reilly Radar I came over an interesting data mining project. The “Books that make you dumb” tries to correlate the student SAT scores and the books they read. Apart from discussion how usable these findings are, it is worth to check the right side of the picture.
Already ordered The Freakonomics by Amazon. To be read in train this week.