Top Tweets for #SpotifyDesignForML
Big thanks to @spotifydesign @mluxsf for having me! I loved sharing out practical tips from the #PAIRguidebook and learning from the #mlux community in turn π
Check out more UX of ML pointers from the #SpotifyDesignForML event π https://t.co/PlEnCTwFTw
Last month we hosted @spotifydesign, @facebookdesign and @GoogleDesign at our NYC #SpotifyDesignforML event. If you would like to find out how it went down, check out the event round up here to give you all the tea βοΈ https://t.co/ghQr4H2bH5
Last month we hosted @spotifydesign, @facebookdesign and @GoogleDesign at our NYC #SpotifyDesignforML event. If you would like to find out how it went down, check out the event round up here to give you all the tea βοΈ https://t.co/ghQr4H2bH5
How do you calibrate trust with users about the accuracy of ML predictions? Some design patterns suggestions here #spotifydesignforML
What are some design patterns to help with explainability and trust? Glad you asked! Check out the #pairguidebook for more too! Allow for user control and surfacing other options if ml is wrong (which it will be!) @dqpdang #spotifydesignforml #mluxnyc
Thanks guys @spotifydesign, @maheen_sohail, @dqpdang! It was interesting ππ€#SpotifyDesignforML #mluxnyc
Facebookβs @maheen_sohail talks about how Portal videochatting screens use classifiers to figure out whatβs worth keeping in frame, but cinematographic technique to do the framing. #mluxnyc #spotifydesignforml
On getting more realistic avatars for getting more social context #mluxnyc #spotifydesignforml by @maheen_sohail
@maheen_sohail sharing how to help with social context using ML and VR, like using NLP and your voice! #mluxnyc #spotifydesignforML
Up next: @maheen_sohail sharing @facebookai and their approach for designing for the fufure! #spotifydesignforML #MLUXnyc
Actionable pointers!! ππΏππ½ππ»ππΌππΎ on 3 awesome chapters User needs, Mental models, Explainability & Trust-- there's also 3 more chapters!! #PAIRguidebook #mluxNYC #spotifydesignforML https://t.co/hMtJNukgqT thank you @dqpdang ππ€β¨@spotifydesign
What are some design patterns to help with explainability and trust? Glad you asked! Check out the #pairguidebook for more too! Allow for user control and surfacing other options if ml is wrong (which it will be!) @dqpdang #spotifydesignforml #mluxnyc
A guided tour from @dqpdang of the Mental Models and Explainability + Trust sections of @Googleβs #PAIRguidebook (and a disappointing Spongebob popsicle).
#spotifydesignforML #mluxnyc
Trust and explainability are really important in building ML products: consider what are the risks if your user over or under trusts the system? @dqpdang from @GoogleDesign at @spotifydesign #spotifydesignforML #mluxnyc
Does ML not always meet your expectations? You're not alone! Be are when you design your ML and AI powered systems you meet users mental models! #mluxnyc #spotifydesignforML @dqpdang
@dqpdang from @GoogleAI sharing the #PAIRguidebook at @spotifydesign #spotifydesignforML #mluxNYC - check it out here! https://t.co/hMtJNukgqT
πΈ @mike_dory
@dqpdang sharing the chapters of the #PAIRguidebook (see above ππ»ππ½) #spotifydesignforML #mluxnyc
Up next: @dqpdang from @GoogleDesign sharing how Google approaches #humancenteredML #SpotifydesignforML #mluxNYC
The data curation team at @spotifydesign process:
1. Define structure
2. Reduce friction
3. Track progress
So important when annotators are trying to help create data for ML teams to improve the experience
#mluxnyc #spotifydesignforML
Up next - #datacuration team!! So important and integral for new ml features - including using human in the loop methods! #mluxnyc #spotifydesignforML
#Recsplanations! The system adapts and gives you explanations to recommendations ! Love it! Helps give reasons and context to recs @spotifydesign #mluxnyc #spotifydesignforml
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