Post MA: An update on Artists, Python, Artificial Intelligence and Machine Learning

Figure 1 Pipeline Gallery’s Instagram (2021) Artist Talk: Jasmine Murray

I can’t quite believe it’s been nearly 6 months since my last post. A few months after my online residency with Transient, I did an artist talk with Pipeline Gallery’s Holly Richards, which is available to watch back on their website, alongside other fantastic artist talks. Some point next month (April 2022), one of my images from the series Transhumane: The Immortality of Self (2019) is set to be exhibited in Festival Pil’Ours, France, in an exhibition curated by Shutterhub called Your Body Belongs to You.

Figure 2 Pipeline Gallery (2022-) Listening to; Jasmine Murray

Last month I caught two virtual events, one organised by Natasha Caruana’s Work Show Grow Artist Talk Salon 9 which featured artists Anna-Tia Buss and Vera Hadzhiyska. The other was organised by Hundred Heroines in collaboration with Exposure 2022 an online talk called Women in STEAM which featured Falmouth Flexible’s Wendy McMurdo and Mónica Alcázar-Duarte. Both talks were incredibly interesting and informative, though Mónica Alcázar-Duarte’s practice in particular resonated with me, as it overlapped with my own research made during the MA on digital biases.


Anna-Tia Buss


Figure 3 Buss, A. (2018) I Never Realized exhibition

Buss’ series I Never Realised draws on the question of beauty ideals in society and the impact such ideals have on our identity and the broader notion of what it means to be a woman in the eyes of society and the lasting trauma such narrow ideal boundaries can cause to those subjected to it. Her work reminds me of the following passage from Perfect Me: Beauty as an Ethical Ideal which states: “In an era of technological intervention, shame attaches more to the body than its clothing; shame of wrinkles, shame of bumpy noses, and shame of sagging jowls, shame, in general of the imperfect and nonconforming body.” (Widdows, H. 2018; 33), albeit a visual rendition and representation. Her pairing of traditional studio portraiture with the more personal and intimate collaborative Polaroid print of her subject’s body and written testament of the area of the body they, the sitter, deems to be their ultimate flaw provokes the viewer of the work to reflect and think of just how restrictive humanity is on what beauty is. Whilst these narrow boundaries have always existed since time immemorial, I would argue that the rise of Web 2.0 – particularly social media has accelerated a global ideal as mentioned by Widdows in her book, but also brought about the notion of the unrealistic and artificial beauty only made possible through the lens of body modification apps and extreme cosmetic procedures.


Vera Hadzhiyska


Figure 4 Hadzhiyska, V. (2017-2019) With the Name of a Flower

Hadzhiyska’s practice is quite far removed from my own, however With the Name of a Flower (2017-2019) gave me a lot to think about on the notions of identity and belonging. Her series investigates and tackles a topic I was unfamiliar with – the forced name changes of those from the Bulgarian Muslim population during the era dubbed the ‘Revival Process’ between 1912-1989. Whilst I knew Bulgaria was at one point part of the Ottoman Empire, I had never really given thought to how this historical fact meant Bulgaria was and I suppose still is, a decidedly diverse culturally rich country. The story behind the images really tugged on my heartstrings and really made me reflect on just how much of your identity can be linked to a name, and how under an unjust society lack of freedom is ultimately a form of censorship.


Dr Wendy McMurdo


“All art is produced as a mirror to the technology of its time.”

McMurdo, W. (2011)
Figure 5 McMurdo, W. (2002) Anaesthetist John Bracken and Surgeon Marjorie Ritchie at The Roslin Institute

Despite being aware of Dr Wendy McMurdo’s work prior to the talk host by Hundred Heroines (in part because she was module leader of the Final Major Project module of my MA in Photography.) I wasn’t familiar with the fact she had documented the scientists who worked on the Dolly the Sheep project (Figure 5). Hearing McMurdo’s thoughts on photography was insightful and resonated with my own views on the future of photography, in that I see photography as a medium that now entwines with other art and tech practices to the point of indistinguishability of where photography itself begins or ends within an image. For example thinking on my own practice is the use of cinemagraphs truly photography or is it instead moving image, or is it both an uncanny hybrid between the moving and the still? McMurdo’s own practice depicts the rapid evolution of technology available to society and its impact on those growing up during these times.


Mónica Alcázar-Duarte


“How is the delegation of algorithmic filters capable of extracting the majority opinion, thus automatically becoming truth?”

Alcázar-Duarte, M. (2021)
Figure 6 Alcázar-Duarte, M. (2017-2020) Here to be caught.

Mónica Alcázar-Duarte’s practice, but particularly her series Second Nature revolves around the inherent pre-existing biases being fed into machine learning algorithms that further pre-existing discrimination and negative stereotypes faced by those who have historically been oppressed. Second Nature explicitly draws on Alcázar-Duarte’s own Mexican heritage and are an fusion of algorithmic search results on the Internet and testaments from women of the discrimination they face, which she collected during her travels in Mexico. During the talk Alcázar-Duarte showed some of her work in progress which I found very insightful, as she appears to have reached the same conclusion as I had during the duration of my MA – that GAN technology works on what is fed into the input and given most current GAN libraries rely on search engine results the outcome is inevitably biased, and tends to dehumanise women into the epitome of the male gaze (if going by deep-fake and deep-nude technology and what AI did when given a cropped photo of AOC).


Learning Python, Understanding AI & Machine Learning


Figure 7 Sketchplanations (2013-) Gif diagram of Boyd’s OODA Loop

During my MA I didn’t have time to explore in-depth how GAN worked in regards to coding, so since graduation I’ve been researching and learning Python and the fundamentals to AI and Machine Learning. Recently I attended a Code First Girls MOOC: An Introduction to Python which made me realise I had indirectly learnt a lot of the basics when experimenting in Ren’py last year (like knowing when to indent, when to print, and how to add a comment within the code). I did learn some helpful tips attending however in regards to formatted strings: instead of writing .format you can just use the letter f instead. This week I attended a tech talk hosted by Dr Joni Pelham at the Friendly Nettle Café on AI, which gave a fundamental overview of the various types of Machine Learning and that ultimately AI is not just Machine Learning, but all of Machine Learning is Artificial Intelligence. Whilst Boyd’s OODA loop was originally created as a military strategy, his theory works as a general predications loop and is a fundamental basis to all coding and programming, something which has been sped up and automated by the development of Machine Learning. However as I found during my MA, AI can only be as reliable as the data it is fed or has access to and in the case of GAN a lot could be improved as it is a method of supervised machine learning. Towards the end of my MA, I did find when researching that you could use Google Colab for some python applications but wasn’t sure whether it would be powerful enough to host any kind of GAN so was pleasantly surprised to find out it should work for a simplistic GAN.

References

Figures

Figure 1 Pipeline Gallery’s Instagram (2021) Artist Talk: Jasmine Murray. [Online] Available from: https://www.instagram.com/p/CXIkTwEopXJ/ [Accessed 10/03/2022]

Figure 2 Pipeline Gallery (2022) Listening to; Jasmine Murray. [Online] Available from: https://www.pipelinegallery.org/post/listening-to-jasmine-murray [Accessed 10/03/2022]

Figure 3 Buss, A. (2018-) I Never Realized exhibition. [Online] Available from: https://www.flare-photoforum.com/post/183608095060/prix-photoforum-2018-part-2 [Accessed 10/03/2022]

Figure 4 Hadzhiyska, V. (2017-2019) With the Name of a Flower. [Online] Available from: https://museemagazine.com/culture/2021/1/18/photo-journal-monday-vera-hadzhiyska [Accessed 10/03/2022]

Figure 5 McMurdo, W. (2002) Anaesthetist John Bracken and Surgeon Marjorie Ritchie at The Roslin Institute. [Online] Available from: https://hundredheroines.org/brief-news/wendy-mcmurdo-ig-take-over/ [Accessed 10/03/2022]

Figure 6 Alcázar-Duarte, M. (2017-2020) Here to be caught (from the series Second Nature). [Online] Available from: https://www.1854.photography/2021/05/monica-alcazar-duarte/ [Accessed 10/03/2022]

Figure 7 Sketchplanations (2013-) Gif diagram of Boyd’s OODA Loop. [Online] Available from: https://sketchplanations.com/ooda-loop [Accessed 10/03/2022]

Bibliography

Alcázar-Duarte, M. [in] Vora, B. (2021) British Journal of Photography: Mónica Alcázar-Duarte explores the dangers hidden behind the algorithm. [Online] Available from: https://www.1854.photography/2021/05/monica-alcazar-duarte/ [Accessed 10/03/2022]

Buss, A. (2022-) [Online] Available from: https://www.annatiabuss.com/ [Accessed 10/03/2022]

Buss, A. [in] International Photography Magazine (2018) Anna-Tia Buss: I Never Realized. [Online] Available from: http://internationalphotomag.com/anna-tia-buss-i-never-realized/ [Accessed 10/03/2022]

Code First Girls (2021-) MOOC [Online] Available from: https://codefirstgirls.com/ and https://codefirstgirls.com/courses/moocs/ [Accessed 11/03/2022]

Hadzhiyska, V. (2022-) [Online] Available from: https://www.verahadzhiyska.com/ [Accessed 10/03/2022]

Hao, K. (2021) MIT Technology Review: An AI saw a cropped photo of AOC. It autocompleted her wearing a bikini. [Online] Available from: https://www.technologyreview.com/2021/01/29/1017065/ai-image-generation-is-racist-sexist/ [Accessed 10/03/2022]

Hundred Heroines (26th February 2022) Women in STEAM Artist Talk: Mónica Alcázar-Duarte & Wendy McMurdo. [Online] Available from: https://www.eventbrite.co.uk/e/women-in-steam-photography-talk-tickets-243629260677?keep_tld=1# and https://hundredheroines.org/event/women-in-steam-photography-talk-with-monica-alcazar-duarte-wendy-mcmurdo/ [Accessed 10/03/2022]

McMurdo, W. (2022-) [Online] https://wendymcmurdo.com/ [Accessed 10/03/2022]

McMurdo, W. [with] Boothroyd, S. (2011) PhotoParley: Wendy McMurdo Interview. [Online] Available from: https://photoparley.wordpress.com/tag/future/ [Accessed 10/03/2022]

Pelham, J. (2022-) LinkedIn Events: What is AI & How do I have a go? [Online] Available from: https://www.linkedin.com/events/whatisai-howdoihaveago6904522087541616640/ [Accessed 10/03/2022]

Pipeline Gallery (2021-) Pipeline Gallery: Listening to; Jasmine Murray. [Online] Available from: https://www.pipelinegallery.org/post/listening-to-jasmine-murray or https://www.youtube.com/watch?v=Bgd6KB6pXjA [Accessed 10/03/2022]

Transient (2020-) Residency Archives: September. [Online] Available from: https://www.transienttt.co.uk/2021/september [Accessed 10/03/2022]

Widdows, H. (2018) Perfect Me: Beauty as an Ethical Ideal. pg 33. Oxfordshire; Princeton University Press.

Work Show Grow (23rd February 2022) Artist Talk Salon 09: Anna-Tia Buss & Vera Hadzhiyska. [Online] Available from: https://www.eventbrite.co.uk/e/work-show-grow-artist-talk-salon-09-tickets-261294397577?keep_tld=1# [Accessed 10/03/2022]

Post MA Musings

Can’t quite believe it’s been well over a month since I completed my MA in Photography. So what have I been up to since? The past week (20th-24th September 2021) I took part in an online residency programme via Instagram called Transient (founded by artist Lydia Griffiths), which seeks to support “…creatives who explore the relationship between Art & Technology.” (Transient, 2020-). I also made the online Shutterhub Yearbook 2021, with an image from The Mirror Hack’d (2020).

Figure 1 t.ransienttt (2021) Residency introduction

I’ve yet to produce any new work, though my research has persisted since my completion, especially on the topic of AI and deep fakes. Earlier in the month the MIT Technology Review published a piece, yet again (and unsurprisingly) on how simplistic click button deep fake generators seem to focus on the genre of deep fake pornography. Unlike the website I commented on at the beginning of my Final Major Project (my blog strangely went viral this August, around the time a Huffington Post article was published which reads remarkably similar to my blog post back in January and even mentions the now deleted medium post I found).

Figure 2 Murray, J. (2021) I wondered at the time why I was receiving so many hits from the start of August for that post, but now it makes sense

The technology Hao comments about in the MIT Technology Review appears to go one step further, in that it takes the face of the victim and swaps them into pre-filmed pornographic content. From trawling the deep fake forums it appears Hao was referencing to a site known as YAPTY, which appeared to function similarly to reface, but appeared to have focused on using adult content, though this has since been disabled.

Figure 3 Murray, J. (2019) original image from Unsocial Media_ processed through deepnude.gg

So what about deepsukebe? Well since all the mainstream journalists finally noticed it’s existence some 8 months on, it appears that to deep nude you now have to pay with free options on both their original site deepsukebe and sister site deepnude.gg (Figure 4) only offering blurred outcomes. Is it a success in limiting deep nudes? Well not really, paying members can still breach the ethical and moral grounds of AI generated technology and as one giant falls, often another quickly takes it’s place, as seen from the demise of the original deepnude site and the rise of deepsukebe earlier this year. I find it interesting that the sister site informs the user (Figure 4) what images work best, and compares its output to the original deepnude website, as this information matches the majority of the information I found on the now defunct medium article written by Nolan, a personwhodoesnotexist.

Figure 4 Deepnude.gg (2021)

On the deep fake forums I have been trawling I spotted under the 18+ sub-forum, a developer ‘kolessios’, in August mentioning they have also launched a ‘service’ called SukebeZone+ using the same AI dataset, which is interesting in itself that this development appears to have occurred after the mainstream news outlets had finally come across the site I reported on back in January. It almost seems to be the deep fake equivalent to the 00s Pirate Bay saga, in that much like deepsukebe originally, it takes standard card payments, not just cryptocurrencies.

Figure 5 Screenshot of mrdeepfakes forum (2021)

So who is ‘kolessios’? He appears to also go by the handle deep-man-yy as well as under the name of Iván Bravo Bravo, claiming to be based in Mexico, and seems to be behind several deep nude websites alongside an individual only know as deeppppp. It appears the duo originally created an application called PepeNude (presumably a reference to Pepe the frog meme) which claims to be “…an application that allows you to use the power of your CPU or GPU to transform photos of people and get free entertainment.” (PepeNude 2019)

Intriguingly a 4th August BBC article that discusses the MP Maria Miller wanting this tech banned, appears to have made contact with Bravo who suggests he is aware of the ethical and moral implications of his work, yet justifies the presence of his tech escapades by saying “However, we don’t live in a perfect world and people have always been looking for ways to do this, so it was only a matter of time before such a technology came into existence.” (Bravo, I. [in] Wakefield, J. 2021)

Figure 6 Screenshots of OpenDreamNets links (2021)

At some point in the past year or so, they rebranded to DreamTime (possibly linked to the fact PepeNude got banned from Twitter) and instead of posting under the handles of deeppppp and deep-man-yy, they appear to post under the branding of OpenDreamNet, which markets itself as offering “Decentralized applications to combat censorship” (OpenDreamNet, 2021). Much like the antics of Pirate Bay, in this time they have had at least two websites and several sub-websites that offer deepnuding, some of which like xxxpaint they pretend to not have personal dealings with on the main pages accessible on their site. Yet in hidden pages found via a search engine they admit to being responsible for it and claim that development is on hold indefinitely due to ‘moral conflicts’.

Figure 7 Screenshots of DreamTimeTech & OpenDreamNet website (2021)

Interestingly this hasn’t stopped them for continuing developments on other projects including teaming up with deepsukebe, or advising their users to not share any photos generated with their technology. They claim this is because they are against it being used to carry out malicious acts or harm, but I question if that is the true reasoning or whether they merely want to stay under the radar as long as they can. Whilst most of the mainstream media haven’t been able to contact the founders of deepsukebe or find out who they are, none of the deepnuding websites outright state who they owned by on the whois registries, however I did manage to find out who the registrar’s are (Figure 8). Deepsukebe for example appears to be under the registrar TLD Registrar Solutions an organisation based in the UK.

Figure 8 Screenshots of Who.is data (2021)

References

Figures

Figure 1 t.ransienttt (2021) Residency introduction. [Online] Available from: https://www.instagram.com/p/CUCf59Po_L0/ [Accessed 25/09/2021]

Figure 2 Murray, J. (2021) I wondered at the time why I was receiving so many hits from the start of August for that post, but now it makes sense

Figure 3 Murray, J. (2019) original image from Unsocial Media_ processed through deepnude.gg

Figure 4 Deepnude.gg (2021)

Figure 5 Screenshot of mrdeepfakes forum (2021)

Figure 6 Screenshots of OpenDreamNets links (2021)

Figure 7 Screenshots of DreamTimeTech & OpenDreamNet website (2021)

Figure 8 Screenshots of Who.is data (2021)

Bibliography

Bravo, I. [in] Wakefield, J. (2021) BBC News: MP Maria Miller wants AI ‘nudifying’ tool banned. [Online] Available from: https://www.bbc.co.uk/news/technology-57996910 [Accessed 26/09/2021]

Cook, J. (2021) The Huffington Post: A Powerful New Deepfake Tool Has Digitally Undressed Thousands Of Women. [Online] Available from: https://www.huffingtonpost.co.uk/entry/deepfake-tool-nudify-women_us_6112d765e4b005ed49053822?ri18n=true [Accessed 24/09/2021]

Hao, K. (2021) MIT Technology Review: A horrifying new AI app swaps women into porn videos with a click. [Online] Available from: https://www.technologyreview.com/2021/09/13/1035449/ai-deepfake-app-face-swaps-women-into-porn/ [Accessed 23/09/2021]

Murray, J. (2021) PHO 705: Week 1 Research: AI, Deep Fakes & Censorship. [Online] Available from: https://jasmphotography.wordpress.com/2021/01/27/week-1-research-ai-deep-fakes-and-censorship/ [Accessed 24/09/2021]

Pepenude (2019-) [Online] Available from: https://notabug.org/deeppppp/pepenude [Accessed 25/09/2021]

Ren’py, and other Project Development Experiments

“With how routinely social media platforms are now derided for fomenting surveillance, conspiracy, and polarization, it can be easy to forget that they were once heralded for ushering in a new emphasis on self-expression. If you signed up you could “share” your activities and ideas to a wider range of people and seem to expand the contours of what the self could be. Initially, this process was a novelty, but as social media became more routine, skillful self-presentation became a familiar and necessary skill, almost a self-care ritual, driven by how other people and algorithms respond to your posts.

With traditional markers of life progress and self-definition — home ownership, marriage, kids, stable careers — becoming less normative as well as less broadly attainable, it can make sense to treat social media as an opportunity to restabilize identity, a chance to turn inward toward something we can control: the aesthetic and the personality we project, the labels we apply to ourselves. Many social media bios are a collection of such identifiers: astrology sign, pronouns, gender and sexual orientation, political orientations, mental illnesses, disabilities, location, age, Myers-Briggs type, fandoms, jobs, hobbies, and more.”

Munson, I. (2021)

Munson’s comment in Real Life Magazine has resonated with my own perspective on social media, whereas once the novelty of social media was about the identity of the self you shared, the novelty has long been lost, leaving a wake of echo chambers via algorithms and self censorship, whilst during my MA my previous bodies of work have addressed, identity, ownership, authenticity and the manosphere, I haven’t addressed what ultimately connects them altogether – algorithms and self censorship, or lack of. My current intentions are to create a multi-pathway visual novel using Ren’py as a vehicle, with the intent to simulate navigating the pixellated minefield of social media.

Figure 1 Murray, J. (2021) WIP – Experiments wih APNGs and webp formats for animation

Due to feedback in previous modules, that my GIF output was somewhat lossy and didn’t do my outcomes justice I’ve been experimenting with an abstract image I have taken with the intention of using as a background for ren’py, using APNGs and webp formats, to produce higher quality animated images. When I first began experimenting with cinemagraphs and animations back in 2012, GIF was pretty much the only option you could easily access other than video or flash, with APNGs and webp formats hard to gain access to, despite offering a wider palette.

Figure 2 Murray, J. (2021) Silicone Valley Ren’py test run

Whilst it’s been a fun experiment and proved useful for subsequent series, I’ve found despite Ren’Py supporting the webp format it is limited strictly to still images. The only way I will be able to display animations within Ren’Py will be to layer transitioning layers of stills or encode a movie format within, so far I have only experimented with the former and not the latter (as seen in Figure 2, a demo test version, largely I had been focusing on the coding elements, so if I persist with this path the basics have been done and I can just place my images into the system, however aesthetical the start screen and the text options are the standard offerings and haven’t been customized visually like I would do if I carry on with this approach as a method of display).

Figure 3 Murray, J. (2021) Experimentation with motherboards and neons

I’ve also been experimenting visually these past few weeks both in camera and with digital manipulation. Figure 3, is created in part as a reference to the work I had produced for 701, 702 and 703, in the use of vibrant neons (in this case EL wire lighting), the presence of the human doll merging with computer and the suggestive element of a dystopian orwellian sci-fi realm, as an almost introductory image to the distraction technique/push of the algorithm towards those bodies of work and away from my main work this module on censorship, so the viewer has to participate and actively seek the main ending. In case I opt to not take the path of Ren’Py I have also been experimenting visually with 3D rendering and AI assisted animated photos.

Figure 4 Murray, J. (2021) 3D Kaleidoscope Test

Figure 4 was my first test, transforming Figure 3 into a 3D moving Kaleidoscope, however I don’t think this process really works for my current intentions as it doesn’t really add anything to my decided narrative, however it did give me insight into how the technique works, which led to me produce Figure 5, a 3D moving face using one of my phicen dolls face close up. The outcome is disturbing and definitely triggers a sense of The Uncanny, however I feel the outcome has become less photographic and more graphical in nature, and doesn’t really evoke the realism I want to convey, in that she has become cartoonish.

Figure 5 Murray, J. (2021) Experiments with 3D face

Lastly, I’ve been experimenting with AI assisted animated photo software (Figure 6), testing both dolls and some archival portraiture of my maternal great-nan and paternal nan. The effect and output has been disturbingly uncanny on many levels, whilst my merged self-portraiture with e-maGen (top right), makes it pretty obvious it is a still image that has been brought to life, and not simply a moving image. The other 3 outcomes are far more successful in output, and are thus more uncanny. Whilst to the average viewer the phicen (top left) is likely to feel the most uncanny in it’s breach of real and the unreal, personally I found those of my ancestors to be more uncanny, especially my nan (bottom right) as the animation is not too far off how she herself looked in person in terms of mannerisms. These latter attempts lead to questions on what we as users should put onto the internet in terms of content, given the potential for images to be appropriated into a new animated life be that as an outright deep fake or a simple animation. Should we as users self-censor what we do put up of our day to day lives?

Figure 6 Murray, J. (2021) Experiments with AI Animation Photos

References

Figures

Figure 1 Murray, J. (2021) WIP – Experiments wih APNGs and webp formats for animation

Figure 2 Murray, J. (2021) Silicone Valley Ren’py test run

Figure 3 Murray, J. (2021) Experimentation with motherboards and neons

Figure 4 Murray, J. (2021) 3D Kaleidoscope Test

Figure 5 Murray, J. (2021) Experiments with 3D face

Figure 6 Murray, J. (2021) Experiments with AI Animation Photos

Bibliography

Munson, I. (2021) Real Life: Mirror of your mind; How algorithmic feeds conflate identity with diagnosis. [Online] Available from: https://reallifemag.com/mirror-of-your-mind/ [Accessed 20/2/2021]

Research: AI, Deep Fakes and Censorship

WARNING: This post contains material which is NSFW.

“As the story goes, the web arrived pregnant with possibilities to do away with ascribed identity. It would allow us to rethink who we are by allowing us to transcend geographic location, physical ability, race, gender, age, even species.”

(Jurgenson, N. 2019; 87)

Throughout my MA, the above quote from Jurgenson’s The Social Photo (2019) has been a key reference and inspiration to creating work, in that it made me question what social media monopolies do with the data we freely give, who truly owns it and whether the data ultimately becomes an entity in its own right, orphaned in a sea of data, converted into an ‘immortal’ online self, that is of you, yet not you. This analysis is backed by both Storr and Ravetto-Biagioli, who have summarised, that the more we input, the more the profiles identify as us, but not belonging to us, a form of idealised perfection, through self-censorship. And perhaps unsurprisingly, as a younger millennial, I too, am a guilty member of the self-curation, self-censor club, in what I do, say, write, take photos of, what little I do post could be too much in the eyes of others who have authoritarian leanings and hold views which oppose or contradict mine.

Figure 1 Murray, J. (Jan 2021) Example of how (Thiel, T & /p (2021) Lend Me Your Face!) works

With the rise of deep fakes visual depictions are increasingly under threat of manipulation, fuelling not only more disinformation, but also a risk of being discriminated against for something you did not actually do, the internet and social media has become a place of worry and concern (which is I suppose ironic, given I am doing an online distance course, writing on a social blogging platform!). Some deep fake projects like The Photographers’ Gallery’s commission of Tamiko Thiel and /p’s Lend Me Your Face! (2021) have been created with good intentions, with an aim to educate viewers on questioning their realities and the media they are consuming and what little information you need to create a semi-convincing deep fake video, from freely available open source code.

Figure 2 Murray, J. (Jan 2021) Screenshot of Twitter account deepsukebe

On the other hand projects like deepsukebe.io have clearly been made with nefarious intentions from the get go with their official twitter bio stating “AI leveraged nudifier. Revealing truth hidden under clothes. Our mission is to make all men’s dream come true. More powerful than deepnude – undress any dress” (Deepsukebe, Oct 2020). For obvious ethical reasons, I deliberately opted to using my phicen dolls as the subject to see just how well it worked. The results were to say the least disturbing, in that if it wasn’t for the fact I knew how my dolls looked like nude and the hints of artifacting weren’t so obvious you could quite easily be fooled into thinking the outcome was genuine.

Figure 3 Murray, J. (Jan 2021) Screenshot of Reddit post “How is this NOT involuntary pornography? Men are advertising an AI website that makes anyone nude.” on r/BlatantMisogyny

Especially given the context around how I found about this website, a member on reddit’s r/BlatantMisogyny shared a screengrab of another reddit forum discussing the tech, I’m inclined to agree upon trialling, that this website is effectively advocating the concept of involuntary pornography, with Figure 4, showing an example I selected (an early developmental image from _Unsocial Media, the phicen doll in a busy urban environment), just how successful the script could be used and abused, on mundane street images of individuals calling into question the very privacy of self.

Figure 4 Murray, J. (2019) Early image from development of Unsocial Media_ (left) – Deepsukebe’s generated nude (right) – use slider to compare

Deepsukebe is not the first to come up with nudifying still photographs in 2019, VICE reported on another AI nudifier called DeepNude, which was claimed to have been taken down by the creator due to the backlash received, after journalists from various outlets reported on it’s existence. However despite appearing to have gone offline, it appears the script from this has spawned other sites, as well as a .to domain, also called DeepNude, whether this site has anything to do with the original developer beyond it’s name and the script used is unclear.

Figure 5 Nolan, Z.W (2020) Medium: The Complete Guide : Best Deepnude App (2020)

What I do know however is much like the Medium reviewer Nolan’s (PS: I have reason to believe, this is an alias given the user’s profile photo is a GAN generated profile photo using thispersondoesnotexist, upon using reverse image search to find out what web presence they had) comparisons using Deepsukebe’s stock examples as the starting point, is that of the options available, Deepsukebe is the most disturbing in terms of success, in regards to clothed individuals, especially if you are a woman, as it’s attempts at making men nude is not so successful, giving breasts to one of my male dolls as well as male anatomy. It also isn’t so successful thankfully, if you are wearing clothes which hide your shape, with it getting completely confused with where my dolls legs went, in one image (both examples found within Figure 6‘s slideshow).

Figure 6 Murray, J. (2019-2020) BTS and developmental images for Unsocial Media_ & The Mirror Hack’d put through ‘Deepsukebe’

Figure 7 Murray, J. (2019-2020) BTS and developmental images for Unsocial Media_ & The Mirror Hack’d put through ‘Deepnude.to’

Meanwhile the script that ran Deepnude is not so successful despite using the same images in both experiments, it appeared to be incapable of coping with busy mundane landscapes with a figure in them just randomly inserting breasts in the image, or just replacing the contrasting clothes with breasts (Figure 7 slideshow) producing amusing outcomes that are far less worrying in regards to privacy. I have to admit though the development of projects such as deepsukebe concern me on what I put out on the web in terms of selfies, as it only takes one person with bad intentions to create an issue, that is ultimately a lie, yet could still cause impact on an individual’s life in a negative way.

Self-censorship, is of course a very different beast to actual censorship, which is an angle I am keen to explore in this module, especially given the news of Twitter this week soft launching a moderation project called ‘Birdwatch‘ which seeks to use its userbase to flag and annotate misinformation on the platform, in an attempt to fix the issues it has had on the platform. Unsurprisingly this announcement has flagged it’s own concerns, with some drawing a comparison between Birdwatch and Big Brother in 1984, if the concept fails and effectively becomes a biased echo-chamber of it’s own post-truth, as I explored last module Twitter is already a cesspit of misogyny, with the tweeters of such content rarely facing any kind of repercussions for their actions, with women on the site facing more repercussion for highlighting said misogyny or calling out a user for sending them unsoliticited dick pics. Whose to say Birdwatch won’t amplify these issues, repeating the errors of reddit, who have one-sidedly banned radical feminist forums, whilst leaving radical manosphere forums and revenge pornography forums that largely target women. Orwell, I think aptly sums up the potential issue:

“In the end the Party would announce that two and two made five, and you would have to believe it. It was inevitable that they should make that claim sooner or later: the logic of their position demanded it. Not merely the validity of experience, but the very existence of external reality, was tacitly denied by their philosophy. The heresy of heresies was common sense.”

Orwell, G. (1950; 80)

Figure 8 Murray, J. (2020) BTS for The Mirror Hack’d put through ‘Deepnude.to’ – left original attempt, right second attempt

UPDATE 29/01/2021: Talking to a family member about this technology, they asked if I put an image through twice whether the outcome was always the same or not. Ironically this was something I had overlooked, so today I put through two of the less successful outcomes, the phicen female doll in the long flowy dress and the jiaou male doll, who ended up with breasts in the last trial. Interestingly in both instances, the outcome came out differently from my original attempts with the jiaou male not ending up with breasts and the phicen female with two distinct legs, albeit still heavily riddled with artifacting (Figures 8 & 9).

Figure 9 Murray, J. (2020) BTS for The Mirror Hack’d put through ‘Deepnude.to’ – left original attempt, right second attempt

References

Figures

Figure 1 Murray, J. (Jan 2021) Example of how (Thiel, T & /p (2021) Lend Me Your Face!) works [Online] Available from: https://vimeo.com/505328146 [Accessed 27/1/2021]

Figure 2 Murray, J. (Jan 2021) Screenshot of Twitter account deepsukebe. [Online] Available from: https://twitter.com/deepsukebeio [Accessed 27/1/2021]

Figure 3 Murray, J. (Jan 2021) Screenshot of Reddit post “How is this NOT involuntary pornography? Men are advertising an AI website that makes anyone nude.” on r/BlatantMisogyny. [Online] Available from: https://www.reddit.com/r/BlatantMisogyny/comments/l3f0db/how_is_this_not_involuntary_pornography_men_are/ [Accessed 27/1/2021]

Figure 4 Murray, J. (2019) Early image from development of Unsocial Media_ (left) – Deepsukebe’s generated nude (right) – use slider to compare

Figure 5 Nolan, Z.W (2020) Medium: The Complete Guide : Best Deepnude App (2020). [Online] Available from: https://medium.com/@ZachWillNolan/the-complete-guide-best-deepnude-app-2020-58a8f3e10da9 [Accessed 28/1/2021]

Figure 6 Murray, J. (2019-2020) BTS and developmental images for Unsocial Media_ & The Mirror Hack’d put through ‘Deepsukebe’

Figure 7 Murray, J. (2019-2020) BTS and developmental images for Unsocial Media_ & The Mirror Hack’d put through ‘Deepnude.to’

Figure 8 Murray, J. (2020) BTS for The Mirror Hack’d put through ‘Deepnude.to’

Figure 9 Murray, J. (2020) BTS for The Mirror Hack’d put through ‘Deepnude.to’

Bibliography

Cole, S. (2019) VICE: Creator of DeepNude, App That Undresses Photos of Women, Takes It Offline. [Online] Available from: https://www.vice.com/en/article/qv7agw/deepnude-app-that-undresses-photos-of-women-takes-it-offline [Accessed 27/1/2021]

Deepsukebe (2020) Twitter Bio. [Online] Available from: https://twitter.com/deepsukebeio [Accessed 27/1/2021]

Jurgenson, N. (2019) The Social Photo: On Photography and Social Media, pg 87. London; Verso.

Nolan, Z.W (2020) Medium: The Complete Guide : Best Deepnude App (2020). [Online] Available from: https://medium.com/@ZachWillNolan/the-complete-guide-best-deepnude-app-2020-58a8f3e10da9 [Accessed 28/1/2021]

Orwell, G. (1950) 1984. pg 80. New York; Signet Classics.

Paul, K. (2021) The Guardian: Birdwatch: Twitter pilot will allow users to flag misinformation. [Online] Available from: https://www.theguardian.com/technology/2021/jan/25/twitter-birdwatch-misinformation-donald-trump-election [Accessed 28/1/2021]

Ravetto-Biagioli, K. (2019) Digital Uncanny. pg 57. New York; Oxford University Press.

Storr, W. (2017) Selfie: How the West became self-obsessed. pg 17 (The Dying Self). London; Picador.

Thispersondoesnotexist; u/ProfeshPress [in] r/TIDNE (2020-) Reddit: This 32-year-old cybersecurity analyst and whistleblower Does Not Exist. [Online] Available from: https://www.reddit.com/r/TIDNE/comments/gfg8p9/this_32yearold_cybersecurity_analyst_and/ [Accessed 28/1/2021]

Thiel, T. &/p (2021) Lend me Your Face! [Online] Available from: https://tamikothiel.com/lendmeyourface/online/GoFakeYourself.html [Accessed 27/1/2021]

The Photographers’ Gallery (2021) Digital Project: Lend me Your Face! Tamiko Thiel and /p. [Online] Available from: https://thephotographersgallery.org.uk/lend-me-your-face [Accessed 27/01/2021]

u/PeachBiPi [in] r/BlatantMisogyny (2020-) Reddit: How is this NOT involuntary pornography? Men advertising an AI website that makes anyone nude. [Online] Available from: https://www.reddit.com/r/BlatantMisogyny/comments/l3f0db/how_is_this_not_involuntary_pornography_men_are/ [Accessed 27/1/2021]

Week 8: Responses and Responsibilities – Research


Deep Fakes


“Since Adobe launched the first version of Photoshop in 1990, retouching photos for malicious or fraudulent purposes has become a concern. Nowadays, the new AI-based systems are improving at such a meteoric pace that it is becoming increasingly difficult to distinguish the authentic from the fake in audio and video documents as well.”

Yanes, J. (2018)

When it comes to responses and responsibilities around my practice of social commentary and on authentic lying my thoughts turn to the modern phenomenon of the Deep Fake, which ultimately allows users to create inauthentic content in terms of visuals and sound to narrate a narrative of their choosing. Ultimately this is not entirely a modern phenomenon as Yanes writes the rise of Photoshop began to allow images to be easily manipulated with just a couple of clicks, as opposed to hours in the darkroom.

Figure 1 Gainsborough, T. (1785) Mr and Mrs William Hallett (‘The Morning Walk’)

“How much of the internet is fake? Studies generally suggest that, year after year, less than 60 percent of web traffic is human; some years, according to some researchers, a healthy majority of it is bot.”

Read, M. (2018)

It’s intriguing in itself that we have begun to question how much of the internet is real and how much is curated, as ultimately this concept is a tale as old as time, humans have arguably always portrayed themselves as a curated persona of ideals taken from aspects of the true self, selected for the audience the individual is dealing with, one has only to look at the unreal portrayals found in 18th century portraiture, by artists such as Gainsborough to find idealisation and an aestheticised romantic view of the self and the world around us.


Click Farms


Figure 2 Brennan, M. (2018) Chinese Clickfarm Tweet (Video from: 抖音 User Bailun304335634)

However given how much more connected we all are to the internet today, it is far easier to spot fakery and lies that don’t add up easier than ever before, as well as committing such fakery. A good example are social interactions on the internet that are manipulated using click farms (Figure 2), in the early 2010s this was relatively unheard of and easily went under the radar.

Figure 3 Kneissl, S. Lackner, M. (2017) Stop the Algorithm

Today it’s hard not to know of click farms, or of buying interaction through the vehicle of likes, comments, follows and reposts, that even the art world is commenting on the topic of click farms, with artists such as Tuleubek, Kneissl and Lackner creating installation pieces which directly look and question why click farms exist and attempt to mimic human interaction on the internet.

Figure 4 Tuleubek, A. (2017) The Invisible Handjob of the New Economy

“…this anxiety and intense fusion with their networked devices, people might experience feelings such as a vacation not being real unless it is publicized in the form of ‘vacation porn’ photos on Instagram, and even more, not unless those catchy frames receive many likes and comments of approval.”

Lynch, R. (2016)

Censorship


Engagement on the internet can be as forged now, as the image itself, the notion of reality and the unreal is further blurred and distorted with the evolution of the tech world, that everything and nothing can be pulled into question. Yet despite this blurred line of reality, rules on acceptability from the real world remain in play with censorship of content, in some countries this is more extreme than in others.

Figure 5 Mattes, E. & F. (2016-) From the series ‘Abuse Standards Violations’

These hidden censorship guidelines become more apparent and visible in the series by artist duo Eva and Franco Mattes in Abuse Standards Violations (2016-) which literally depicts corporate guidelines leaked to them on internet content moderation that is printed onto wall-mounted insulation panels. Such moderation is intended to make the internet a safer and more truthful place in comparison to the days of the early internet, yet technology itself pushes the grey lines arguably making it more difficult to moderate reality. Baldacci aptly explains that today:

“The shift of attention is thus all on the afterlife of images, on their ‘swarm circulation, digital dispersion, fractured and flexible temporalities’. Which means that in the digital realm the focus is no more on the ‘original’ image itself (the real thing) but on the conditions of its recurrent circulation (reality) and translation.”

Baldacci, C. (2019)

Hyper-digital


Figure 6 Galle, T. & Yuyi, J. (2016) Face Messenger

Her comments on recurrent circulation brings me to the artist Tom Galle whose work revolves around the hyper-digital internet meme culture with the intention of providing humourous commentary and questions on impact the internet has had, through reinterpreting modern cultural references. In the case of Face Messenger (2016) Galle collaborates with Yuyi to create a series of close ups of faces that have had temporary tattoos applied that look like visual content found on Facebook messenger.

References

Figures

Figure 1 Gainsborough, T. (1785) Mr and Mrs William Hallett (‘The Morning Walk’) [Online] Available from: https://www.nationalgallery.org.uk/paintings/thomas-gainsborough-mr-and-mrs-william-hallett-the-morning-walk [Accessed 20/03/2020]

Figure 2 Brennan, M. (2018) Chinese Clickfarm Tweet (Video from: 抖音/Douyin/TikTok User: Bailun304335634) [Online] Available from: https://twitter.com/mbrennanchina/status/1072114511212109824 [Accessed 20/03/2020]

Figure 3 Kneissl, S. Lackner, M. (2017) Stop the Algorithm. [Online] Available from: https://thephotographersgallery.org.uk/whats-on/exhibition/all-i-know-is-whats-on-the-internet [Accessed 20/03/2020]

Figure 4 Tuleubek, A. (2017) The Invisible Handjob of the New Economy. [Online] Available from: https://www.ayatgali.com/the-invisible-handjob-of-the-new-economy/ [Accessed 20/03/2020]

Figure 5 Mattes, E. & F. (2016-) From the series ‘Abuse Standards Violations’. [Online] Available from: http://0100101110101101.org/abuse-standards-violations/ [Accessed 20/03/2020]

Figure 6 Galle, T. & Yuyi, J. (2016) Face Messenger. [Online] Available from: http://tomgalle.online/Face-Messenger [Accessed 20/03/2020]

Bibliography

Baldacci, C. (2019) ‘Recirculation: The Wandering of Digital Images in Post-Internet Art’ [in] Holzhey, C.F.E and Wedemeyer, A. (ed.) (2019) Cultural Inquiry, 15: An Errant Glossary. pg 25-33. Berlin; ICI Berlin [Online]. Available from: https://www.ici-berlin.org/oa/ci-15/baldacci_recirculation.html [Accessed 20/03/2020]

Lynch, R. (2016) Institute of Network Cultures. ‘The Art of Flex: Network Lessons from Post Internet Art‘. [Online] Available from: https://networkcultures.org/longform/2016/06/22/the-art-of-flex-network-lessons-from-post-internet-art-2/ [Accessed 20/03/2020]

Read, M. (2018) How Much of the Internet is Fake? Turns Out, a Lot of It, Actually. [Online] Available from: http://nymag.com/intelligencer/2018/12/how-much-of-the-internet-is-fake.html [Accessed 20/03/2020]

The Photographers’ Gallery (2018-2019) All I Know Is What’s On the Internet. [Online] Available from: https://thephotographersgallery.org.uk/whats-on/exhibition/all-i-know-is-whats-on-the-internet [Accessed 20/03/2020]

Watermans (2020) Data Dating. [Online] Available from: https://www.watermans.org.uk/new-media-arts-archive/data-dating/ [Accessed 20/03/2020]

Yanes, J. (2018) The Technology that Creates Fake Reality. [Online] Available from: https://www.bbvaopenmind.com/en/technology/innovation/the-technology-that-creates-fake-reality/ [Accessed 20/03/2020]