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Hi all! I'm actually the author of the article- if you have any comments feel free to leave them. I specifically chose to address this to ux designers bx ml wi

Hi all! I'm actually the author of the article- if you have any comments feel free to leave them. I specifically chose to address this to ux designers bx ml will be the future of product design and what I had noticed, from working at IBM Watson, was a lack of understanding across design and engineering teams how to "explain" or show what was happening in products using ux. This is actually the start of a column for fast co focusing specifically on design for AI and ml. So how a product is processing information and serving up results has to be articulated to users- maybe that articulation is a visualization or maybe it's something else? It depends upon the product- but this was a call for thinking about how, if your product uses ml, how do you translate that for users in the design of the product? It's advocating that for ML we move away from minimal design.

zitterbewegung 9y ago
Reddit did a great job when they created a new ranking algorithm. They marketed as "best"[1] and they have an informational post for nontechnical people but in the post they linked to the technical explanation[2]. [1]https://redditblog.com/2009/10/15/reddits-new-comment-sorting-system/ https://redditblog.com/2009/10/15/reddits-new-comment-sortin... [2] http://www.evanmiller.org/how-not-to-sort-by-average-rating.html http://www.evanmiller.org/how-not-to-sort-by-average-rating....
tensor 9y ago
No one understands how their car works, or their microwave, or even fridge. Why should they understand how something like ML works?
- XaspR8d 9y ago
  They understand when a car or a microwave or a fridge is useful, and why you wouldn't want to use one in place of another.
  - crimsonalucard 9y ago
    Yes if it wasn't for UX designers we wouldn't know when to use a fridge or microwave. Same with ML.
crimsonalucard 9y ago
These deep learning neural networks imitate the human brain and are essentially black boxes. If the trainer doesn't have a complete understanding of what the network is doing how would a UX designer? This makes no sense.
- cellarpaper 9y ago
  i agree and disagree with you- a trainer may not understand how or what the connections a neural network will make but any product goes through EXTENSIVE QA before being launched. thus, a trainer will see all of the different outcomes any nn will make inside of a product, they see the gamut of differences. a user may not see that. additionally, i don't think you give UX designers enough credit. i worked alongside engineers, and met frequently with trainers to talk about what kind of results our prototypes were generating. it was up to me to help articulate what the results meant and how those connections were made. for example- how do you make a long tail result looking different than a short tail one without making it look like a google search? how do you articulate those differences to users so it just doesn't look like a shitty searching algorithm? that is a design problem- articulating those differences visually- not an engineering problem. this is what the article is advocating for.

zitterbewegung 9y ago

Reddit did a great job when they created a new ranking algorithm. They marketed as "best"[1] and they have an informational post for nontechnical people but in the post they linked to the technical explanation[2]. [1]https://redditblog.com/2009/10/15/reddits-new-comment-sorting-system/ https://redditblog.com/2009/10/15/reddits-new-comment-sortin... [2] http://www.evanmiller.org/how-not-to-sort-by-average-rating.html http://www.evanmiller.org/how-not-to-sort-by-average-rating....

tensor 9y ago

No one understands how their car works, or their microwave, or even fridge. Why should they understand how something like ML works?

XaspR8d 9y ago
They understand when a car or a microwave or a fridge is useful, and why you wouldn't want to use one in place of another.
- crimsonalucard 9y ago
  Yes if it wasn't for UX designers we wouldn't know when to use a fridge or microwave. Same with ML.

crimsonalucard 9y ago

These deep learning neural networks imitate the human brain and are essentially black boxes. If the trainer doesn't have a complete understanding of what the network is doing how would a UX designer? This makes no sense.

cellarpaper 9y ago
i agree and disagree with you- a trainer may not understand how or what the connections a neural network will make but any product goes through EXTENSIVE QA before being launched. thus, a trainer will see all of the different outcomes any nn will make inside of a product, they see the gamut of differences. a user may not see that. additionally, i don't think you give UX designers enough credit. i worked alongside engineers, and met frequently with trainers to talk about what kind of results our prototypes were generating. it was up to me to help articulate what the results meant and how those connections were made. for example- how do you make a long tail result looking different than a short tail one without making it look like a google search? how do you articulate those differences to users so it just doesn't look like a shitty searching algorithm? that is a design problem- articulating those differences visually- not an engineering problem. this is what the article is advocating for.