“we may be missing out on the insights a curious and fertile human mind could impart” #mscedc http://t.co/lp17NnkHXR
From Block Three
If an Algorithm Wrote This, How Would You Even Know?
RT @Jago_Kosolosky: If an Algorithm Wrote This, How Would You Even Know? http://t.co/1mAm01OPIU #mscedc
This is how DeepMInd’s learning algorithm works
RT @zarkadakis: This is how DeepMInd’s learning algorithm works #ArtficialIntelligence @HuffPostTech http://t.co/Rv1BrGAGL0 #mscedc
“Did a Human or a Computer Write This?” #mscedc try this quiz
RT @patrick_nally: “Did a Human or a Computer Write This?” #mscedc try this quiz http://t.co/f7sppVjpyi”
The App That Lets You Spy on Yourself and Sell Your Own Data
The App That Lets You Spy on Yourself and Sell Your Own Data http://t.co/RYWvQVqIGQ #mscedc
I am
In my previous post I showed how TED asks us to select certain attributes from their ‘I am’ list. But how did they decide which attributes to enter on to the list? For example, they list 5 out of the top 7 religions (according to Wikipedia) but not Sikhism, even though there are more Sikhs than there are Jews in the world.
Gillespie (2012) cites the evaluation of relevance as one of the dimensions of public relevance algorithms. He also points out that database producers are made distinctive more by what they choose to exclude. We don’t know why TED chose to exclude Sikhs, or Bahai, from their list, but by doing so they have rendered them invisible.
Mapping ideas worth spreading
Mapping ideas worth spreading http://t.co/EwtlWZBxqx #mscedc
An Algorithm That Can Distinguish Beautiful Portraits From Ugly Ones
An Algorithm That Can Distinguish Beautiful Portraits From Ugly Ones http://t.co/5IWhykZ7cw #photography #mscedc
The curly fry conundrum: Why social media “likes” say more than you might think
The curly fry conundrum: Why social media “likes” say more than you might think http://t.co/JCYdYN3WQx #mscedc
How algorithms shape our world
How algorithms shape our world http://t.co/nUT721vOHs #mscedc