[spectre] What Does the Dataset Want?

[Nicolas Malevé]

Dear spectres,

In September The Photographers’ Gallery digital programme will be 
exploring the cultural significance of the ImageNet dataset, unpacking 
social media curating in an age of photographic surplus, and speculating 
on image classification in the 21st Century - please see details below!

Curating Social Media Symposium, 12th & 13th Sept, FREE
https://thephotographersgallery.org.uk/whats-on/workshop/curating-social-media
A two day event which brings together artists, critics, academics, 
curators and social media misfits to explore photography’s relationship 
to the ‘curation economies’ of the museum, web and cloud. How might 
photography be curated in the context of post-scarcity? How is 
photography being mobilised to create new vectors of attention and value 
online? What is the role of the curator working within online platforms?
Speakers include: Brian Droitcour (Art in America), Olia Lialina 
(artist), Felix Magal (Museum of Internet), Anika Meier (Monopol/This 
Ain’t Art School), Olga Goriunova (Scholar), Annet Dekker (Curator), 
Hannah Ray (Condé Nast/Vogue), Wolfgang Wild (Retronaut), Matthew 
Plummer-Fernandez (artist).

=====

What Does the Dataset Want? Photography & Classification in the 21st 
Century
Symposium followed by launch of Heather Dewey-Hagborg Commission, 14th 
Sept 13:30 - 18:00
https://thephotographersgallery.org.uk/whats-on/talks-and-events/symposium-what-does-dataset-want
A symposium exploring the crucial role of photographic datasets in the 
development of machine vision and artificial intelligence, in 
collaboration with the AI Now Institute. The day will conclude with 
opening drinks for a new commission by Heather Dewey-Hagborg for The 
Media Wall.
Speakers include: Zach Blas, Heather Dewey-Hagborg, Nicolas Malevé, 
Daniel Rubinstein, Katrina Sluis, Jon Uriate, Anna Ridler

=====

10th Birthday Party for ImageNet, with a talk by Dr Fei-Fei Li, Sat 21st 
Sept  4-7pm
https://thephotographersgallery.org.uk/imagenetbirthday
ImageNet has become one of the most influential photographic datasets in 
the fields of Deep Learning and AI. More than 14 million photographs 
were gathered through a benchmarking effort that propelled the outbreak 
of Computer Vision and its wide range of applications such as 
surveillance, phone filters, medical imaging, biometry and autonomous 
cars. ImageNet is organised through 21,000 categories that are still 
being used today to train computational models.
On Saturday afternoon we will celebrate the 10th anniversary of ImageNet 
with a series of playful challenges, activities and artists’ 
presentations to showcase the impact of ImageNet, including a talk by 
its creator Dr Fei-Fei Li  <https://en.wikipedia.org/wiki/Fei-Fei_Li> of 
Stanford University/AI4ALL.