- 20th September 2017: Difference between revisions

Latest revision as of 15:14, 20 September 2017

Still working on it

What do you want to make?
One:
 The study “Deep Neural Networks (DNN) can detect sexual orientation from faces” by Yilun Wang and Michael Kosinski claims to show that faces contain information about sexual orientation and that AI can interpreted this better than humans. An Artificial Intelligence Gaydar so to say.

With one image of one person the DNN can tell with an accuracy of 81% of a man is gay and a 71% accuracy if a woman is lesbian. When the DNN is fed 5 images the accuracy goes up to 91% for gay men and 83% for lesbians. This doesn’t mean that the DNN can say from an image that you are gay, but it can differentiate the sexual orientation of two persons put next to each other.   Their findings show that the results of the study are consistent with PHT (prenatal hormone theory), “which argues that same-gender sexual orientation stems from the underexposure of male fetuses and overexposure of female fetuses to prenatal androgens responsible for the sexual differentiation of faces, preferences and behavior” (Wang, Kosinski, page 30). Gay men and women tended to have gender-atypical facial morphology, expression and growing style. In this stage the research is incomplete and has a lot of ‘what if’s’, but I am more interested in the possibilities or perhaps the dangers/dread this technology can mean for the LGBTQI++ community.   What do I want to make of this? 

[where is your gaze, your eye, in this? You have been making work of people and what is the value of this aesthetic.]
Could make portraits of people and see if they are, according to the software, homosexual.

Two:

 The gay and Lesbian Kingdom of the Coral Islands “The Gay and Lesbian Kingdom (G&LK) seceded from Australia in 2004. Emperor Dale Parker Anderson declared independence upon raising the rainbow pride flag on Cato Island in the Coral Sea Island. The decision to secede was made as a response to the Australian government’s 2004 action in presenting the Amendment of the Marriage Act 1969.” (Lattas, Page 59) Thereby creating a micronation. A micronation that would be queer nationalism’s first territorial claim.  

[ exhibition with, appropriation of the whole island, sovereign state apparatus, a room with the stamps hanging in the frame, information about the history of the state; create a fictive movie; gay flag on island like flag on moon; — there is also a guy in London propagating for gay state — would interview the guy.

[Utopian and separatist;]

A way of investigating this issue;

[red planet 1930s]

How do you plan to make it?

What is your timetable?

Why do you want to make it?

Who can help you and how?

Relation to previous practice

My photographic practice focuses mainly on the collection of different types of photographic images. From this point on single images started to be less important to me than the overall combination of images. Through careful selection and combinations, I aim to create new analogies between the different materials. Therefore my work should always be presented as a ‘table’ not as a ‘tableau’. The idea of the working table and the open possibility of changing the order of the images therefore also means that I do not work in fixed series or projects with my photographic images.

Relation to a larger context

References

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-Preperation:<br><br>
+Still working on it <br><br>
-Deep Neural Networks (DNN) can detect sexual orientation from faces
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+width:600px;
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+'''What do you want to make?'''<br>
+One:<br>
+ The study “Deep Neural Networks (DNN) can detect sexual orientation from faces” by Yilun Wang and Michael Kosinski claims to show that faces contain information about sexual orientation and that AI can interpreted this better than humans. An Artificial Intelligence Gaydar so to say.
 <br><br>
+With one image of one person the DNN can tell with an accuracy of 81% of a man is gay and a 71% accuracy if a woman is lesbian. When the DNN is fed 5 images the accuracy goes up to 91% for gay men and 83% for lesbians. This doesn’t mean that the DNN can say from an image that you are gay, but it can differentiate the sexual orientation of two persons put next to each other.   Their findings show that the results of the study are consistent with PHT (prenatal hormone theory), “which argues that same-gender sexual orientation stems from the underexposure of male fetuses and overexposure of female fetuses to prenatal androgens responsible for the sexual differentiation of faces, preferences and behavior” (Wang, Kosinski, page 30). Gay men and women tended to have gender-atypical facial morphology, expression and growing style.
+In this stage the research is incomplete and has a lot of ‘what if’s’, but I am more interested in the possibilities or perhaps the dangers/dread this technology can mean for the LGBTQI++ community.   What do I want to make of this? <br><br>
+[where is your gaze, your eye, in this? You have been making work of people and what is the value of this aesthetic.]<br>
+Could make portraits of people and see if they are, according to the software, homosexual. <br><br>
+Two:<br><br>
+ The gay and Lesbian Kingdom of the Coral Islands “The Gay and Lesbian Kingdom (G&LK) seceded from Australia in 2004. Emperor Dale Parker Anderson declared independence upon raising the rainbow pride flag on Cato Island in the Coral Sea Island. The decision to secede was made as a response to the Australian government’s 2004 action in presenting the Amendment of the Marriage Act 1969.” (Lattas, Page 59) Thereby creating a micronation. A micronation that would be queer nationalism’s first territorial claim.  <br><br>
-This study by Yilun Wang and Michael Kosinski claims to show that faces contain information about sexual orientation and that AI can interpreted this better than humans.
+[ exhibition with, appropriation of the whole island, sovereign state apparatus, a room with the stamps hanging in the frame, information about the history of the state; create a fictive movie; gay flag on island like flag on moon; — there is also a guy in London propagating for gay state — would interview the guy. <br><br>
+[Utopian and separatist;] <br><br>
+A way of investigating this issue;
+<br><br>
+[red planet 1930s]
 <br><br>
-  ''“Given a single facial image, a classifier could correctly distinguish between gay an heterosexual men in 81% of cases, and in 71% of cases for women. Human judges achieved much lower accuracy: 61% for men and 54 % for women. The accuracy of the algorithm increased to 91% and 83%, respectively, give five facial images per person. Facial features employed by the classifier included both fixed (e.g., nose shape) and transient facial features (e.g., grooming style). Consistent with the prenatal hormone theory of sexual orientation, gay men and women tended to have gender-atypical facial morphology, expressions and grooming styles.”''<br><br>
+'''How do you plan to make it?'''<br><br>
+'''What is your timetable?''' <br><br>
+'''Why do you want to make it?''' <br><br>
+'''Who can help you and how?''' <br><br>
+Relation to previous practice <br><br>
+My photographic practice focuses mainly on the collection of different types of photographic images. From this point on single images started to be less important to me than the overall combination of images. Through careful selection and combinations, I aim to create new analogies between the different materials. Therefore my work should always be presented as a ‘table’ not as a ‘tableau’. The idea of the working table and the open possibility of changing the order of the images therefore also means that I do not work in fixed series or projects with my photographic images.<br><br>
-What's at stake?<br>
-As companies and governments are increasingly using computer vision algorithms to detect people’s intimate traits, their findings expose a threat to the privacy and safety of gay men and women. <br><br>
-   > History of physiognomy > universally rejected as a mix of superstition and racism disguised as science.  Jenkinson, j. (1997): Face facts: A history of physiognomy from ancient Mesopotamia to the end of the 19th century. The Journal biocommunication, 24
+'''Relation to a larger context''' <br><br>
-Sources:
+'''References'''
-https://motherboard.vice.com/en_us/article/a33xb4/a-frightening-ai-can-determine-a-persons-sexuality-with-91-accuracy?utm_source=mbfb<br>
-https://www.lgbtqnation.com/2017/09/hrc-glaad-release-silly-statement-gay-face-study/<br>
-https://www.theguardian.com/technology/2017/sep/07/new-artificial-intelligence-can-tell-whether-youre-gay-or-straight-from-a-photograph<br>
-http://www.independent.co.uk/life-style/gadgets-and-tech/news/ai-gay-faces-facial-recognition-study-claims-artificial-intelligence-a7936851.html<br>
-https://www.economist.com/news/science-and-technology/21728614-machines-read-faces-are-coming-advances-ai-are-used-spot-signs<br>