Top Tweets for #FFAutoUpdate
#ElisabethBik has an eye for spotting digital alterations & duplication in images. Follow @MicrobiomDigest to join her in identifying duplicates #ImageForensics.
Watch Bik in convo w/ Dean Kissick & Rob Horning during the 2019 #FFAutoUpdate Symposium: https://t.co/ZqkgMuT2TD #tbt
We were honored to host @FOTOFOCUSCINCY's fall symposium AutoUpdate: Photography in the Electronic Age earlier this month. Learn more about the incredible day via @hyperallergic: https://t.co/aT41mYpjaO #ffautoupdate #fotofocuscincy #lovethecov #carnegiearts
"Photography used to be an impartial mechanism — or at least, it was thought of as such — and now it has lost that sacrosanctity." - @hyperallergic
Complete article on the #FFAutoUpdate Symposium held October 5th: https://t.co/X9HWDlxLrG #FotoFocus
Reading: Considering Photography’s Past, Future, and Pitfalls @hyperallergic about #Fotofocus #FFAutoUpdate
But:
Writer Sarah Rose Sharp quotes text from my tweets without acknowledging.
That is sad.
https://t.co/B8hB9soW4c
Here is a report @Forbes about the #FotoFocus #FFAutoUpdate symposium I participated in earlier this month.
Too bad only men are quoted/shown in this article, because there were women in the panels too (including me) 😢
https://t.co/DC86cFReea
We were honored to host the day-long symposium "AutoUpdate: Photography in the Electronic Age." Learn more about the incredible day via @artnet: https://t.co/L3KfNweKwX #ffautoupdate #fotofocus #carnegiearts #lovethecov
Thank you to everyone who joined us for AutoUpdate: Photography in the Electronic Age with @FOTOFOCUSCINCY. While the symposium may be over, the juried group exhibition AutoUpdate is on view through November 16. #FFAutoUpdate
Thank you @FOTOFOCUSCINCY for inviting me and the other panelists and speakers, and for @The_Carnegie for hosting this event. It has been a great symposium!
#FotoFocus #FFAutoUpdate
I hope y'all enjoyed this #FotoFocus #FFAutoUpdate tweets. A bit different than my regular tweets about microbiology or science integrity - but sometimes it is very refreshing to be at a different place or environment than usual.
@trevorpaglen @katecrawford Trevor Paglen: But very often, these labels and classifications are horribly wrong. I hope that with my exhibitions I make people more aware of our online images, our privacy, and how we might be mis-labeled.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: We are in the New Age of photography. We are being constantly photographed by police, cities, social media, and our fridge. These systems are trying to classify us and trying to sell us things based on these images.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: These training images are very widely used, but the labels are often incorrect, and now our images are misclassified based on these. Images are often complex, not captured in a couple of labels.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: I did several project with this, including #ImageNetRoulette - you could upload a selfie and see which labels the network would put onto you. Some outcomes were fun, but others were horribly racist and misogynist.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: This dataset has categories such as "bad person", "leader", "tramp", "loser", "drug addict". This is very troubling. These are not objective names, but judgmental labels.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: Imagenet is now considered to be a golden standard for object recognition. It has 20,000 categories and millions of images. But are these labels always correct? https://t.co/pU0H4LjcHL
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: Many of these databases also look at expressions and emotions, like happiness, disgust, fear, anger. Based on Paul Ekman's ideas that there are 6 building blocks of emotions, and that those are always visible.
https://t.co/McQoBF6Kli
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: We looked at lots of datasets on facial recognition. Many sets from the military are actually build on their own staff or on people living in prisons.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: How do these neural networks work? How do they recognize objects, shapes, faces? It might break down a shape into basic shapes like lines and ellipses or spiky things. That is how it works to recognize forks, spoons, and bananas.
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: The history of images is that people used to look at them. But now machines look at them. What do these machine see? How do they read e.g. faces?
This face was analyzed as 57% female. But which face is 100% female?
#FotoFocus #FFAutoUpdate
@trevorpaglen @katecrawford Trevor Paglen: When we think about datastructure and communication, we see it is interwoven with the landscape around us. But inside these sensors are images that were taken from us. What is the structure of those images?
#FotoFocus #FFAutoUpdate
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