Anthropocene – AI Experimentation


TASKS: Experimentation with AI

Produce relevant blog posts using combination of images and text:

1. RESEARCH Define what AI is and how it is used to generate images and visual content using new technology. Produce a moodboard of images for inspiration to develop your own set of AI images – see Resources below > 1 blog post


2. EXPERIMENTATION: Select appropriate images from Anthropocene project and produce at least 5-10 different versions of images using generative AI in Photoshop, or any other AI Image generating software, such as DreamStudio, Midjourney, DALL-E 2, Dream by Wombo, Craiyon.

Either ‘train’ AI on your original images or add elements to your photographs using relevant text prompts linked to the Anthropocene project. Use key terminology, such as specific words and phrases linked to subject matter, capturing moment, locations & places, points of view, approaches, composition and formal analysis, camera handling and techniques.

Show creative process using a combination of screen grabs and annotation > 1 blog post

3. PRESENTATION: Evaluate your creative outcomes and select a set of final images for printing and save to this folder below > 1 blog post

M:\Radio\Departments\Photography\Students\Image Transfer\Yr 12 ANTHROPOCENE

RESOURCES

What is artificial intelligence (AI)?

” It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.”John McCarthy’s definition in his 2004 paper, What is Artificial Intelligence?

Artificial intelligence (AI), is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition and now generating content by text prompting producing images, music and films.

The birth of the artificial intelligence conversation was denoted by Alan Turing’s seminal work, “Computing Machinery and Intelligence” , which was published in 1950. In this paper, Turing, often referred to as the “father of computer science”, asks the following question, “Can machines think?”  From there, he offers a test, now famously known as the “Turing Test”, where a human interrogator would try to distinguish between a computer and human text response. While this test has undergone much scrutiny since its publish, it remains an important part of the history of AI as well as an ongoing concept within philosophy as it utilizes ideas around linguistics.

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At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms which seek to create expert systems which make predictions or classifications based on input data.

Over the years, artificial intelligence has gone through many cycles of hype, but even to skeptics, the release of OpenAI’s ChatGPT seems to mark a turning point. The last time generative AI loomed this large, the breakthroughs were in computer vision, but now the leap forward is in natural language processing. And it’s not just language: Generative models can also learn the grammar of software code, molecules, natural images, and a variety of other data types.

The applications for this technology are growing every day, and we’re just starting to explore the possibilities. But as the hype around the use of AI in business takes off, conversations around ethics become critically important. To read more on where IBM stands within the conversation around AI ethics, read more here.

More information about AI can be found here on IBM or see RESOURCES below.

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AI Image generating software: DreamStudio, Midjourney, DALL-E 2, Dream by Wombo, Craiyon and new version of Photoshop with AI

Photoshop AI (beta version)

A general tip in Photoshop is just to get familiar with Layers, Selections, Masking, and Groups. Almost every complex task just involves being better at these and most problems proceed from small misunderstandings in them. There are free videos explaining any of these, for people who want targeted learning there is a short video on every tool available on Phlearn. The site will try and get you to pay for Premium Content, but there’s loads of free stuff. 

For example, these are all free/quick, the presenter is great, and most contain free sample files to practice on.You can teach yourself a good standard of Photoshop just by following along. Click here for tutorials.

Introduction from Adobe to Photoshop AI: Nearly three and a half decades since we first brought Photoshop to the world, we’re writing a new chapter in our history with the integration of Generative AI and Adobe Firefly into Photoshop. Today we deliver an incredible new capability into creators’ hands that empowers them to work at the speed of their imagination while fundamentally transforming the experience into something more natural, intuitive and powerful.

Generative Fill – Adobe Photoshop Quickly create, add to, remove or replace images right in Adobe Photoshop with simple text prompts powered by Adobe Firefly generative AI.

Learn the basics of Generative Fill that is now integrated into the Beta version of Adobe Photoshop. This technology allows you to write simple text prompts to enhance your own images directly in Photoshop.

What’s new in Photoshop

The new features introduced to Photoshop are designed to accelerate everyday creative workflows, streamline complex tasks, and reduce clicks.

Adjustment Presets

Image showing Adjustments presets.

Adjustment Presets are filters that speed up complex tasks by enabling you to preview and change the appearance of images in just a few steps to achieve a distinctive look and feel, instantly.

There are 32 new presets in the Adjustments panel that you can hover over to see what your image would look like with each preset applied before selecting it. Once a preset is selected, it can be further refined by editing the automatically created adjustment layers in the layers panel.

For more information go here.

Neural Filter

Neural Filters is a new workspace in Photoshop with a library of filters that dramatically reduces difficult workflows to just a few clicks using machine learning powered by Adobe Sensei. Neural Filters is a tool that empowers you to try non-destructive, generative filters and explore creative ideas in seconds. Neural Filters helps you improve your images by generating new contextual pixels that are not actually present in your original image. 

Click here for a tutorial on how to use Generative Fill

Gradients update

The Gradients feature has been significantly improved, and the workflow has been expedited.

The feature enables you to create gradients in just a few steps and now includes new on-canvas controls which help you have precise controls over many aspects of the gradient in real-time. A live preview that’s created automatically shows you instantly how the changes you make affect your image.

You can now also make non-destructive edits to your gradients, which means you can go back and make changes to your gradient without permanently altering your original image.

For more information go here.

Remove Tool

Image showing how to use the Remove Tool.

The Remove Tool is an AI-powered feature that enables you to replace an unwanted object by simply brushing over it, preserving the integrity of nearby objects and providing an uninterrupted transition on complex and varied backgrounds.

The Remove Tool is particularly powerful when removing larger objects and matching the smooth focus shift across the image. For example, the tool can remove an entire building or car from an alpine landscape image while seamlessly maintaining the fidelity of the progression from meadow to mountains.

Use the Remove tool for:

  • Big objects
  • An object near other objects
  • An object on a varied-focus background
  • An object with structure behind it (think lines, like a fence or horizon)

For more information go here.

Contextual Task Bar

The Contextual Task Bar is an on-screen menu that recommends the most relevant next steps in several key workflows, reducing the number of clicks required to complete a project, and making the most common actions more easily accessible.

Image showing how to use the Contextual Task Bar.

For example, when an object is selected, the Contextual Task Bar appears below your selection and suggests actions for selection refinement that you might want to use next, such as Select and Mask, Feather, Invert, Create Adjustment Layer, Fill Selection, or generate something with the new Generative Fill capabilities.

For more information go here.

Generative Fill

The revolutionary and magical new suite of AI-powered capabilities grounded in your innate creativity, enabling you to add, extend, or remove content from your images non-destructively using simple text prompts. You can achieve realistic results that will surprise, delight, and astound you in seconds. 

Click here for a tutorial on how to use Generative Fill

DreamStudio

Tutorial as we explore the amazing capabilities of DreamStudio, from creating realistic portraits to coming up with prompts and structuring your work for maximum impact,
Follow more advanced tutorial here
Explore AI artist: Rune S Nielsen site here

Midjourney

Explore examples here, Next Steps in Midjourney: Photorealistic Experience with AI Art

On the left: the old output from V4. On the right: the result of the same prompt in the new V5. Image credits: created with Midjourney by CineD
An example of a picture generated in Cinemascope by adding “–ar 21:9” to the prompt. Image credit: created with Midjourney V5 by CineD

Read article here on: How to get great results with Midjourney learning bout being more precise with your text prompts.

DALL-E 2

DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called “prompts”. DALL-E was revealed by OpenAI in a blog post in January 2021, and uses a version of GPT-3 modified to generate images. In April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that “can combine concepts, attributes, and styles”.

For inspiration and ideas – see RESOURCES below of artists using AI.

Further Inspirations > Experimentation > Development

A FORT REGENT INSPIRED ART EXHIBITION RECREATING THE STRANGE HOLD CHILDHOOD SPACES HAVE ON ADULT MEMORIES

The work in this exciting exhibition recreates the strange hold that childhood spaces have on our adult memories, all centred around the Jersey childhood mecca of old Fort Regent. 

Will Lakeman is a photographer who has nurtured an obsessive interest in ‘the Fort’, and has spent his adult life revisiting weird dreams of this iconic building and its heyday in the early 1990s. With the works accompanied by a custom soundscape, smell and touch, Playtime encourages visitors to revisit their own dreams. The exhibition opens with a special preview evening on Wednesday 24 May between 5.30pm and 7pm and runs through until Sunday 2 July 2023. 

If you were ever a visitor to Pluto’s Playtime, spun around the roller disco on your Bauers, felt bilious on the pirate ship or slunk around in the shadows of the Exploratorium, this exhibition is without question for you. In a broader sense though, this exhibition is about nostalgia and how it is not always reliable. You can’t photograph a place that has long ceased to exist, so Will Lakeman has responded by using photo manipulation, collage and new technologies of artificial intelligence to recreate the Fort as he remembers it, not as it ever really was. The resulting images try to evoke the odd, fantastical memories we carry of childhoods everywhere.

Artist Will Lakeman said of the upcoming exhibition “I’m really excited for people to see this show, which I now realise I’ve been trying to make for most of my adult life. I have a really intense interest in a specific era of Fort Regent’s history – the funfair and swimming pool – but I have hardly any photos of myself there. I had to try and recreate my memories, and the more I tried the stranger the results became. The show involves photographs, reconstructions made with Artificial Intelligence, a soundscape, found objects and even some smells. Although it’s rooted in “the Fort” I tried to capture something universal in the experience of being a child, beyond excited to go to the leisure centre. I hope it says something to everybody. 

Read full press release here

“Everyone has the potential to make art that is meaningful to them. Anyone can be a good photographer, you do not need expensive gear, you just need to care. AI is the next thing that will become democratic. I would love to see other people’s weird dreams.”

Will Lakeman: ‘Through my work I try and communicate something of the weird, vivid sensations of my dreams and nightmares. I dream inside a world of intense colour and strange symbolism, but I also daydream in my waking hours as I drift around the place. I also experience synaesthetic hallucinations where my sensed become confused.

As a photographer I’m mainly inspired by cinema, especially the work of David Lynch, Alejandro Jodorowsky and Stanley Kubrick. I also love the writing of Philip K Dick and Kazuo Ishiguro. Photographers I enjoy include Todd Hido and Greg Girard.’

Explore Will Lakeman’s website here

David Lynch’s films: Twin Peaks (…), Eraserhead (..) and Mulholland Drive (…)

Read an interview with Will in Bailiwick Express here – see exerts below.

From ghostly pictures taken at night to eerie images of the Fort recreated by artificial intelligence, Will Lakeman has shared how dream and nostalgia inspire his work.

Pictured: Will says he didn’t take a single good photograph until he was 24.

“I did not take a single good photograph until I was 24,” he said. “I spent 24 years taking pictures that were not very interesting. It was not until I took one where I had an emotional experience that they started getting better. The first photo I took that I was really happy with was one of the Esplanade car park.”

As he started working at night, Will began working with nocturnal images, a series of which went on display at Private & Public Gallery in 2019. Those were partly inspired by his synesthetic hallucinations during which he can “taste colours and feel sounds.”

“I would try and get the sort of sense you get when you see something in a dream, bigger and clearer and more colourful,” Will explained.

Using artificial intelligence, Will has been manipulating images of Fort Regent based on his own dreams of the place.

Dreams and nostalgia are two big influences in Will’s work and both combine in his latest project. Using artificial intelligence, he has been manipulating images of Fort Regent based on his own dreams of the place.

Will had been wanting to focus on the Fort for a while but couldn’t find a way into it until he stumbled upon AI. His efforts have somewhat been stumped by the lack of pictures of the Fort, an appeal for images has not yielded much results so far, so Will has been creating his own collages and using pictures of the Fort as it is now, as well as the small number of archive images he has been able to find.

“I grew up here and I spent a lot of time there like many people,” Will said. “I am interested a lot about nostalgia, when people talk about what life was, they are not talking about reality but what their memory is.

Will wants his images to be “spooky, very colourful and weird”.

“I am interested in making those images, but I also understand that it is not reality and that you cannot go back there. I try to make them spooky, very colourful and weird, because even in a nice dream, there’s always something that happens that is a little bit weird. I wanted to try and capture that in an image, to make people remember and think about their own dreams.”

The process to create one image is a lengthy and somewhat fortuitous one. Will has to ‘feed’ the AI source images as well as instructions drawn from his dream diary until he “stumbles” upon something that looks right.

“The AI understands words and sentences but not in the same way as humans do,” he explained. “It’s like a painting where someone is throwing paint at the canvas rather than using a brush.

“Sometimes it’s really frustrating, you just do it over and over again and it looks nothing like you hoped it would, and then suddenly it looks exactly like it did in your dream.”

“It’s like a painting where someone is throwing paint at the canvas rather than using a brush,” Will said about the process.

The image comes out the size of a postage stamp so once Will is happy with it, he then has to make it “bigger and bigger”, adding elements as he goes, which he says can be quite “time consuming”.

While it’s an unusual process that Will says does not resemble any other type of creative process, he believes more artists will turn to AI in the future.

“Everyone has the potential to make art that is meaningful to them. Anyone can be a good photographer, you do not need expensive gear, you just need to care. AI is the next thing that will become democratic. I would love to see other people’s weird dreams.”

This article first appeared in the Dec/Jan edition of Connect magazine 2022, which you can read full version here. 

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Planet AI: Asking AI to Draw Famous People as Babies!

planet.ai. Artwork created by artificial intelligence. Subscribe here on Youtube to see examples of work or follow here on Instagram. They also sell prompts for Midjourney – see here for more details.

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AI generated pictures of Coronation after party. Check out Charles!!!

Phillip Toledano believes that a photograph should be like an unfinished sentence. Born in London, he lives and works in New York City, where after a decade as an advertising art director, he returned to his true passion, photography. Below are some recent images he has created using Midjourney that were shared in Instagram.

mrtoledano Political art usually works in two ways -either it points outwards, to support and encourage people to rise up, or it points inwards, at a political figure, to ridicule, to weaken, to enrage-that’s that’s hopefully the point of this particular series. Two of trumps (many) characteristics are his misogyny and his obsession with projecting strength -these images make him become his fears

If you look at images of trump, you begin to notice just how many emotions he seems to be missing-there’s plenty of him looking angry, or petulant, or stern, and then there’s what passes for a smile. But real laughter? sadness? Concern ? Joy? Completely and strangely absent – the only option is to create them with ai. Midjourney

Trump is so hyper masculine, so extraordinarily misogynistic, it made me wonder. This is an exploration of what might be his deepest fear-to become what he despises the most

One of the things I find utterly fascinating about Donald Trump is the carefully curated tough guy image he’s crafted over the years -there’s something interesting in piercing that hyper -masculine bubble and showing the world the softer side of Donald

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mrtoledano For the final act of the trump series, let’s think about who donald trump would be if he didn’t have his fathers money. If he hadn’t had a gilded life of privilege handed to him. What if he was just Donny from queens ? What would his life look like? What would he be doing ? 

Philip Toledano: I’ve noticed a lot of work uses ai to recreate photography as it is now-some sort of reflection of reality -but what’s utterly intriguing is that AI has its own voice. For instance, this image of the two men fighting I would argue is much more interesting than the one I posted yesterday (can you see what’s different ?) because (metaphorically) I allowed ai to have a say -now this image asks more questions (which is ALWAYS a good thing in art) 

I’m also surprised to see how it handles the animal images I’ve been doing -especially the monkeys and apes-the images have such emotion in them -and finally, I’m very much enjoying the way in which you can abstract the human form …

From his series, another America …

Photos courtesy of the latest version of Midjourney, an AI program which generates realistic deepfakes   –  Copyright  Reddit – Twitter. Read article here

AI-created images of Donald Trump, shared by @EliotHiggins’s account. – Twitter – Midjourney
AI-created images of Donald Trump, shared by @EliotHiggins’s account. – Twitter – Midjourney
David Fathi: False image generated by photographer David Fathi via Midjourney showing Emmanuel Macron in contact with police officers. Credit: David Fathi / Midjourney

David Fathi: The Machine Seems to Need a Ghost

The Machine Seems to need a Ghost (but the ghost cannot quite make itself at home in the machine) is a work in progress currently composed of three typologies that explore all these questions around the keywords of feedback loop, hauntology, meta, etc., as a neural network of linked ideas and images: 

OpenWalls Arles Vol. 4: TRUTH

The prompt for this year’s theme was French photographer Jacques-Henri Lartigue’s line that photography is “catching a moment which is passing, and which is true.” The aim of OpenWalls 2023 is to challenge Lartigue’s notion in a modern context – to not only interrogate the idea of truth in a post-truth age, but to insist upon photographic authority as collaborative, considering multiple truths from across the six continents from which the winning images are taken.

50 single image winners and two series will be shown together at Galerie Huit Arles, all responding to theme of Truth. Read more here BJP (British Journal of Photography)

Emmaline Zanelli. OpenWalls Arles Single image winner

My goal is not to uncover a single objective truth, but rather to explore the many subjective layers of a truth that are personal and relevant to the persons I am photographing

– Julia Gunther – OpenWalls Arles Single Image Winner


Ultimately, the winning image of this edition of OpenWalls projects demonstrate that truth can be wielded to empower an endless range of human impulses, whether preservation, rebellion, remembrance or imagination. Truth’s flexibility might be the most valuable legacy of the supposedly post-truth age.

Explore more of the winners here

Can a photograph lie?

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Robert Capa, Death of a Loyalist Soldier, 1936

Are all photographs reliable?

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Joe Rosenthal, Raising the Flag on Iwo Jima, February 23, 1945

A photograph is a certain delivery of facts?

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Jeff Wall, Mimic, 1982

Claims of truth that most people take for granted?

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Tom Hunter, Woman Reading a Possession Order, 1997, after Johannes Vermeer (1632-1675) A Girl Reading a Letter by an Open Window, 1647-49

You often hear a photographer saying: ‘the camera was there and recorded what I saw’.

A common phrase is to ‘shed light on a situation’ meaning to find out the truth.

‘A picture tells a 1000 words‘, is another aphorism that imply images are more reliable.

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Picasso famously said: ‘We all know that art is not truth. Art is a lie that makes us realise truth.’

Magritte’s painting La Trahison des Images in which he painted a picture of a pipe with the words ‘Ceci n’est pas une pipe’ (This is not a pipe) goes some way towards an explanation.

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Documentary photography’s central moral associations are:

depicting truth

recording life as it is

camera as a witness.

The photograph as evidence

Since its ‘invention’ in the 1830s, photographs have been used as sources of evidence. The direct (indexical) relationship between the sun’s rays and the resulting image makes photographs seem reliable as sources of information. No wonder that photography was enthusiastically embraced by organisations like the police who began to use photographs as sources of legal proof. And yet, from the beginning, artists working with photography began to create images which relied on the manipulation of their photographs using techniques like combination printing, undermining their evidential status. Photographs are very persuasive since they look so much like the things photographed. As Susan Sontag has pointed out, when we hear about something happening but doubt its occurrence, we tend to believe it to be true when shown a photograph of it. However, she also describes the way that photographs are peculiar in the type of evidence they provide:

The photographer was thought to be an acute but non-interfering observer – a scribe, not a poet. But as people quickly discovered that nobody takes the same picture of the same thing, the supposition that cameras furnish an impersonal, objective image yielded to the fact that photographs are evidence not only of what’s there but of what an individual sees, not just a record but an evaluation of the world. It became clear that there was not just a simple activity called seeing (recorded by, aided by cameras) but ‘photographic seeing’, which was both a new way for people to see and a new activity for them to perform.
​– Susan Sontag from On Photography

Some initial questions:

  • What can photographs be evidence of?
  • How many types of photographic evidence can you list?
  • Which of your official documents include a photograph of you?
  • Why are photographs considered, in some legal circumstances, to be a reliable source of evidence?
  • How reliable is your Instagram feed or family photo album as a record of your life?
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In 2016, the Michael Hoppen Gallery curated an exhibition of photographs entitled ‘? The image as question: an exhibition of evidential photography‘.

The exhibition featured a wide range of photographs from fields such as medicine, conflict, engineering, astronomy and crime. Originally used as evidence of something, torn from their original context and hung on a gallery wall, the photographs could be appreciated for their aesthetic qualities and artistry. 

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This was further emphasised by the exhibition hang which drew attention to the formal similarities between some of the photographs:

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A limited edition of 200 catalogues were produced to mark the show, again conferring on the photographs the status of art object:

Part of the fascination with all photography is that the medium is firmly grounded in the documentary tradition. It has been used as a record of crime scenes, zoological specimens, lunar and space exploration, phrenology, fashion and importantly, art and science. It has been used as ‘proof’ of simple things such as family holidays and equally of atrocities taking place on the global stage. Any contemporary artist using photography has to accept the evidential language embedded in the medium.
— Michael Hoppen Gallery website

Do you know what London really looks like? Take our quiz and see if AI can fool you

After an image of the Pope fooled the internet, test yourself and see if you’re still one step ahead of artificial intelligence. Click here

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TASKS: Produce a number of blog posts that show evidence of the following 

Mon-Tue: ESSAY > Write a 1000-1500 word comparative essay on photography’s association with truth using both historical and contemporary images as examples.

The essay question (hypothesis), Photography and Truth: Can a photography lie? is designed to explore the idea of photographs as forms of evidence. Of course this is relevant to all photographs. To what extent can any photograph be relied upon to tell us the truth? With new technology, such as generative AI that produce content from images and texts that already exist on the internet, it also raises questions about originality, appropriation and authorship. These issues are central to contemporary artistic and photographic practice and students should be alert to them. Is the photographer always the one who presses the shutter? Does it matter?

DEADLINE: MON 10 July

Follow these instructions:

  1. Select two images that have manipulated truth, one historical using camera technology, one contemporary using AI technology as examples to use in your essay
  2. Research history, theory and context of both images thoroughly and make notes.
  3. Read several sources (both online and on paper) to acquire sufficient knowledge and understanding
  4. Provide a critical perspective by referencing different points of view from sources.
  5. Select at least 2 quotes per image from sources you have read that is relevant to your essay question.
  6. Use Harvard System of Referencing and provide a bibliography
  7. Use key terminology specific to art and photography from the matrix/ sheet below.

Essay plan – use as a guideline

Hypothesis: Photography and Truth: Can a photograph lie?

Opening quote: to set the scene choose an appropriate quote from key texts or source that you have read and understood. Or select something Will Lakeman said in class discussion around ethics using AI in photography.

Introduction (250 words): Describe how photography from its invention as a new technology in 1839 was viewed as a threat to traditional artforms such as painting and drawing. Provide an overview of why photography (like all other art forms) is an illusion and a representation of reality (reflect on your essay earlier on the Origin of Photography). Explain what AI is as a new technology, and how it is already part of lives, give examples (Google, speech recognition, generative AI etc). Discuss both human and societal benefits and potential dangers of AI, again use examples such as Geoffrey Linton resigning from Google to bring awareness, or Sam Altman’s (CEO of OpenAI) being questioned by USA congress. Select one quote by either Linton or Altman and comment (either for or against). Introduce the two images that you have chosen as examples of the above.

Paragraph 1 (250-500 words): Describe how photography in the past (before the digital age) could be manipulated, both in-camera and in the darkroom (eg. reflect on Pictorialism’s use of chemicals and scratching surfaces in distorting images and earlier masking/ collaging technique sin the darkroom.) Provide an example of an image (see case studies below) from history of photography where the truth was distorted. Describe circumstances, context, different points of view and new discoveries or theories around the origin or meaning of your chosen image. Use either direct quote, paraphrasing or summary from sources and comment (for or against). Make sure you provide your own interpretation of the image too.

Paragraph 2 (250 -500 words): Describe how photography now since the digital age has been altering the truth from faking images in-camera to using image manipulation software, such as Photoshop. Provide an example of an image (see case studies below) produced using artificial intelligence that looks ‘real’, but are in fact a digital construct. Provide analysis of how generative AI such as DreamStudio, Midjourney or DALL E 2 has increased our ability to create new images that has no relationship with either photography or the truth. Use same formula as above and use either direct quote, paraphrasing or summary from sources and comment (for or against). Make sure you provide your own interpretation of the image too.

Conclusion (250 words): Refer back to the essay question and write a conclusion where you summarise in your own words both similarities and differences between your two image examples. For example, compare and contrast how historical images in the past and digital images made today, using new technology such as AI, have altered reality and distorted truth. Conclude with a statement on how you envisage the future of photography and AI image-making might change our perception of reality, and attitude towards truth.

Bibliography: List all the sources that you have identified in alphabetical order. Apart from listing literature you must also list all other sources e.g. websites/online sources, Youtube/ DVD/TV.

Quotes and referencing: You MUST reference some of the sources that you have used either by incorporating direct quotes, paraphrasing or summarising of an idea, theory or concept, or historical fact.

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Use Harvard System of Referencing…see Powerpoint: harvard system of referencing for further details on how to use it.

CASE STUDIES

Explore case studies where images have ‘lied’ and truth has been manipulated, distorted, staged or altered. Choose two images – one historical and one contemporary – for your essay from case studies listed below that questions the notion of truth regarding the photographic image and its relationship with reality and explain why.

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Case Study 1: Roger Fenton, Valley of the Shadow of Death, April 23, 1855
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Case Study 2: Robert Capa, Death of a Loyalist Soldier, 1936
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Vu magazine, Sept. 23, 1936.  Robert Capa’s Spanish Civil War coverage with the “Falling Soldier” photograph
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Case Study 3: Joe Rosenthal, Raising the Flag on Iwo Jima, February 23, 1945

Joe Rosenthal’s original caption: “Atop 550-foot Suribachi Yama, the volcano at the southwest tip of Iwo Jima, Marines of the Second Battalion, 28th Regiment, Fifth Division, hoist the Stars and Stripes, signalling the capture of this key position.”
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Case Study 4: Steve McCurry, Taj Mahal and train in Agra, 1983.

The images of renowned photographer Steve McCurry, who made the famous and iconic image of an Afghan girl for a front cover of National Geography has recently been criticized for making ‘too perfect pictures’ which not only are boring but reinforces a particular idea or stereotype of the exotic other.

afghan-girl

Read this article by Teju Cole in the New York Times Magazine which compares McCurry’s representation of India with a native photographer, Raghubir Singh who worked from the late ’60s until his untimely death in 1999, traveling all over India to create a series of powerful books about his homeland.

Read this artcicle on Petapixel in In defense of Steve McCurry’s images

What is your view? Back it up with references to articles read and include quotes for or against.

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Subhas Chandra Bose statue, Kolkata, 1987. Raghubir Singh

Reference to Coldplay’s new video also highlight the idea of cultural appropriation that harks back to Britain’s colonial rule and exploitation of the Orient.




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Case Study 5 > Jeff Wall, Approach, 2014.

Jeff Wall is a Canadian artists known for his large scale tableaux image presented in light-boxes. Today, most of his images resemble reportage and, as such, are likely to incense his detractors, who claim he’s not a “true” photographer. His most contentious new work, called Approach, shows a homeless woman standing by a makeshift cardboard shelter in which we spy the foot of what could be a sleeping vagrant. Wall tells me it was shot under an actual freeway where the homeless congregate and that “it took a month to make, working hands-on” – but he won’t divulge just how staged it is. Is this an actual homeless woman, or an actor? Is the shelter real, or was it built by Wall’s team of assistants to resemble one?

Re-creating images from memory is crucial to Wall’s practice – perhaps because it flies in the face of the tradition of photography as an act of instant witnessing.

“Something lingers in me until I have to remake it from memory to capture why it fascinates me,” he says. “Not photographing gives me imaginative freedom that is crucial to the making of art. That, in fact, is what art is about – the freedom to do what we want.”

Read full interview with Jeff Wall here

In terms of truth or communicating an idea that make references to a real social problem such as homelessness, does it matter if the image is staged or not? Where does authenticity come into the picture?

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Jeff Wall exhibition with his trademark images presented in lightboxes.
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Case Study 6 > Boris Eldagsen. The Electrician, from the series PSEUDOMNESIA, 2022. Credit: Boris Eldagsen/Co-created with DALLE2/Courtesy of Photo Edition Berlin.

AI-generated image wins photography award, but artist turns it downArtist wins photo award with AI generated image, sparking debate | DW News

Berlin-based photographer Boris Eldagsen rejected the recognition from Sony World Photography Awards, saying that artificial intelligence (AI) images and photography should not compete with each other in similar contests. In a statement published on his website, Erdagsen said that he applied to the competition “as a cheeky monkey” to find out if such events are prepared to handle AI-generated content. The photographer also urged for debate on the role of AI in photography. “We, the photo world, need an open discussion. A discussion about what we want to consider photography and what not,” wrote Eldagsen.

Read Boris Eldgasen’s own comments om his website here, where you will also find hyperlinks to many articles and interviews given about the image and his refusal to accept the Sony World Photography Awards 2023.

Seymour, Tom (18 April 2023), The camera never lies? Creator of AI image rejects prestigious photo award. The Art Newspaper. (Accessed 19 June 2023)

Boris Eldagsen has accused the Sony World Photograph Awards of failing to distinguish between a photograph and a DALL-E 2-created image, while the organisers condemn a ‘deliberate attempt at misleading us’

Bush, Lewis (20 April 2023), ‘AI photography is here to stay—here’s why we should be worried’. The Art Newspaper. (Accessed 19 June 2023)

Maybe we should direct our attention less on whether these images count as photographs, and more on the moral right or wrong of how they work

Grierson, J. (17 April, 2023) Photographer admits prize-winning image was AI-generated. The Guardian News & Media Ltd. (accessed 19 June 2023)

German artist Boris Eldagsen says entry to Sony world photography awards was designed to provoke debate.

Williams, Zoe (18 April, 2023), ‘AI isn’t a threat’ – Boris Eldagsen, whose fake photo duped the Sony judges, hits back. The Guardian News & Media Ltd. (accessed 19 June 2023)

The German artist caused uproar this week when he revealed the shot that won a prestigious award wasn’t what it seemed. But, he insists, AI isn’t about sidelining humans – it’s about liberating artists

Parshall, Allison, (April 21, 2023) How This AI Image Won a Major Photography Competition. Scientific American (accessed 19 June 2023)

Boris Eldagsen submitted an artificial-intelligence-generated image to a photography contest as a “cheeky monkey” and sparked a debate about AI’s place in the art world

Bartels, Meghan (March 31, 2023), How to Tell If a Photo Is an AI-Generated Fake. Scientific American (accessed 19 June 2023)

Artificial-intelligence-powered image-generating systems are making fake photographs so hard to detect that we need AI to catch them.

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Case Study 7: David Fathi > False image generated by AI using Midjourney showing Emmanuel Macron in contact with police officers and taking to the streets to protest against the retirement age reform in France.

Here is a statement by David Fathi: The Machine Seems to Need a Ghost about his new project and use of AI in his work.

‘Generative artificial intelligence and machine learning are rapidly advancing. Anyone can use image generation tools to create without needing specific technical or artistic skills. The images generated by these tools challenge the notions of work and creator, as if they were algorithmic ready-mades. Like Marcel Duchamp’s urinal, bottle rack or snow shovel, they are products of mechanization and automation (industrial for Duchamp, digital for these new creations) and displayed in an art gallery. The artist does not have to paint, photograph or sculpt; his choices and decisions shape the work. The algorithm draws from a huge database of images that mirror our world without replicating it accurately. The generated images look more and more realistic and close to reality but also act as a distorting mirror, exaggerating all the stereotypes and biases of our visual culture. 

We are at a turning point where human production has not yet been contaminated by artificial production. However this will soon change as the tools themselves use their own creations as input. Gradually the feedback loop, an endless cycle where culture ceaselessly refers to itself, will come to dominate the database, risking getting stuck in nostalgia for the past and trapped in a closed , meta-stable, system. Duchamp’s ghost still haunts us, an unavoidable reference in the history of contemporary art, often quoted, copied or parodied by generations of artists that followed. He became an art cliché despite himself. Duchamp himself described his own art as “meta-irony” to describe his art – a form of critical distance holding its own questioning. 

Artificial intelligence raises ethical, artistic and social questions that are only an acceleration of the same questions that have followed the inventions of printing, photography, computer or the internet. The growing automation only makes it harder to escape our current system and the “meta” has become a refuge. This constant self-reference, reflexivity, circularity of our art, our technologies, our culture is becoming a trap where the past’s ghosts still haunt our present thinking.’

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Case Study 8: Philip Toledano > Trump as a poor man

Philip Toledano: (mrtoledano) For the final act of the trump series, let’s think about who donald trump would be if he didn’t have his fathers money. If he hadn’t had a gilded life of privilege handed to him. What if he was just Donny from Queens ? What would his life look like? What would he be doing ? 

Philip Toledano: I’ve noticed a lot of work uses ai to recreate photography as it is now-some sort of reflection of reality -but what’s utterly intriguing is that AI has its own voice. For instance, this image of the two men fighting I would argue is much more interesting than the one I posted yesterday (can you see what’s different ?) because (metaphorically) I allowed ai to have a say -now this image asks more questions (which is ALWAYS a good thing in art) 

READING > REFERENCES > SOURCES

Below are some background text on some of the topics of discussion, such as truth, ethics, realism, representation and genres of documentary photography and staged photography (tableaux). Reading a couple of these texts would provide you with the background knowledge and understanding that is required for you write a critical essay on the topic around photography and truth. It is your own responsibility to research relevant information and context around the two images that you have chosen from case studies above.

Documentary > Truth > Realism > Ethics > Representation

A short PPT on Documentary Photography

Bright, Susan (2019) Is it Real? in Photography Decoded. London: Octopus Publishing Group Ltd.

Sontag, Susan (1977) ‘In Plato’s cave’, Chapter 1 in On Photography. London: Penguin Books

Here some helpful resources on Sontag: On Photography from PhotoPedagogy

Max Pinckers Interview: On Speculative Documentary
How fact and fiction today in documentary photography is blurred

Here some helpful resources on ethical questions regarding the photographer’s position of being inside or outside from PhotoPedagogy

Tableaux Photography > Pictorialism > Narrative > Cinema

A short PPT on Tableaux Photography

Bate, David (2016) ‘Pictorual Turn’ in Art Photography. London: Tate Galleries.

How Tableaux has been influenced by Pictorialism

Tableaux-Photography

Susan_Bright_Narrative

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Artificial Intelligence > Ethics > Regulation > Media – current debates

In March, some prominent figures in tech signed a letter calling for artificial intelligence labs to stop the training of the most powerful AI systems for at least six months, citing “profound risks to society and humanity.” The letter, published by the Future of Life Institute, a nonprofit backed by Elon Musk, came just two weeks after OpenAI announced GPT-4, an even more powerful version of the technology that powers ChatGPT. In early tests and a company demo, GPT-4 was used to draft lawsuits, pass standardized exams and build a working website from a hand-drawn sketch.

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Lets watch this interview on CNN with Dr Geoffrey Hinton who says ‘AI could kill humans and there might be no way of stopping it.’. The man often touted as the godfather of AI quit Google, citing concerns over the flood of misinformation, the possibility for AI to upend the job market, and the “existential risk” posed by the creation of a true digital intelligence. For more context read articles in The Guardian and NYT (New York Times) too

‘Godfather of AI’ says AI could kill humans and there might be no way to stop it

other clips DeepMind CEO on AI Godfather Hinton’s Google Departure | Watch (msn.com)OpenAI CEO Sam Altman: “If this technology goes wrong, it can go quite wrong.”

AI Principles

The Asilomar AI Principles, coordinated by The Future of Life Institute (FLI) and developed at the Beneficial AI 2017 conference, are one of the earliest and most influential sets of AI governance principles. Read all principles listed, especially those linked with Ethics and Values.

https://www.facebook.com/watch/?v=538404941814298
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AI and Ethics Panel (vimeo.com)

AI and Ethics Panel

The University of Florida hosted a panel on ethics in artificial intelligence on Tuesday, May 2, 2023, with faculty members exploring the important role of ethics as scientists race toward increasingly sophisticated AI technologies. UF faculty members Amelia Winger-Bearskin, Duncan Purves, Tina Tallon and Sanethia Thomas participated in the online panel, which explored various topics related to the ethical implications of artificial intelligence, including algorithmic bias, ChatGPT and the social impact of AI on different communities.Josh Kline on the unfolding disasters of climate change and AI

Artforum editor in chief David Velasco visits Josh Kline at New York’s Whitney Museum of American Art to discuss “Project for a New American Century,” his first institutional survey in the US. Kline, whose work graces the cover of the April issue, reflects on his world-building art, the unfolding disasters of climate change and AI, and why he still sees the future as a place of hope. In the April issue: Colby Colby Chamberlain on the art of Josh Kline.

https://www.artforum.com/print/202304…

EXTRA:

In this project we will explore the theme of NOSTALGIA and respond to a number of different creative tasks, such as classic street photography on a trip to St Malo and produce a set images using AI (Artificial Intelligence) in response to the exhibition, PLAYTIME by Will Lakeman.

Theoretically, the project will explore photography’s fraught relationship with truth looking at seminal images from the history of photography that ‘lied’ and compare with how new technology such as AI generating digital images will potentially alter our perception of reality. This debate will also include discussing the ethics of AI technology, as a force for good that will benefit humanity and its potential dangers, and how it will impact our society as a whole in the future.

‘Godfather of AI’ Geoffrey Hinton warns of dangers of chatbots, quits Google | Newshub

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