![\"\"](\"\/Themes\/Release\/images\/responsive\/ettelecom-default.jpg\")
The feature, first released in 2020, claims a 100x zoom rate, and Samsung<\/a> used sparkling clear images of the Moon in its marketing.
Ibreakphotos took his own pictures of the Moon -- blurry and without detail -- and watched as his phone added craters and other details.
The phone's artificial intelligence<\/a> software was using data from its \"training\" on many other pictures of the Moon to add detail where there was none.
\"The Moon pictures from Samsung are fake,\" he wrote, leading many to wonder whether the shots people take are really theirs anymore -- or if they can even be described as photographs.
Samsung has defended the technology, saying it does not \"overlay\" images, and pointed out that users can switch off the function.
The firm is not alone in the race to pack its smartphone cameras with AI -- Google<\/a>'s Pixel<\/a> devices and Apple<\/a>'s iPhone<\/a> have been marketing such features since 2016.
The AI can do all the things photographers used to labour over -- tweaking the lighting, blurring backgrounds, sharpening eyes -- without the user ever knowing.
But it can also transform backgrounds or simply wipe away people from the image entirely.
And the debate over AI is not limited to hobbyists on message boards -- professional bodies are raising the alarm too.
Sidestepping the tech
<\/strong>
The industry is awash with AI, from cameras to software like Photoshop<\/a>, said Michael Pritchard of the Royal Photographic Society of Britain.
\"This automation is increasingly blurring boundaries between a photograph and a piece of artwork,\" he told AFP.
The nature of AI is different to previous innovations, he said, because the technology can learn and bring new elements beyond those recorded by film or sensor.
This brings opportunities but also \"fundamental challenges around redefining what photography is, and how 'real' a photograph is\", Pritchard said.
Nick Dunmur of the Britain-based Association of Photographers said professionals most often use \"RAW\" files on their digital cameras, which capture images with as little processing as possible.
But sidestepping the tech is less easy for a casual smartphone shooter.
Ibreakphotos, who posted his finding on Reddit, pointed out that technical jargon around AI is not always easy to understand -- perhaps deliberately so.
\"I wouldn't say that I am happy with the use of AI in cameras, but I am OK with it as long as it is communicated clearly what each processing pipeline actually does,\" he told AFP, asking not to use his real name.
Not 'human-authored'
<\/strong>
What professional photographers are most concerned about, though, is the rise of AI tools<\/a> that generate completely new images.
In the past year, DALL-E 2, Midjourney and Stable Diffusion have exploded in popularity thanks to their ability to create images in hundreds of styles with just a short text prompt.
\"This is not human-authored work,\" Dunmur said, \"and in many cases is based on the use of training datasets of unlicensed work.\"
These issues have already led to court cases in the United States and Europe.
According to Pritchard, the tools risk disrupting the work of anyone \"from photographers, to models, to retouchers and art directors\".
But Jos Avery, an American amateur photographer who recently tricked thousands on Instagram by filling his feed with stunning portraits he had created with Midjourney, disagreed.
He said the lines drawn between \"our work\" and \"the tool's work\" were arbitrary, pointing out that his Midjourney images often took many hours to create.
But there is broad agreement on one fundamental aspect of the debate -- the risk for photography is not existential.
\"AI will not be the death of photography,\" Avery said.
Pritchard agreed, noting that photography had endured from the daguerreotype to the digital era, and photographers had always risen to technical challenges.
That process would continue even in a world awash with AI-generated images, he said.
\"The photographer will bring a deeper understanding to the resulting image even if they haven't directly photographed it,\" he said.
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读到
特性,首先在2020年发行,索赔100 x变焦率以及三星用闪闪发光的月亮在其营销的清晰图像。
月球Ibreakphotos拍了自己的照片,模糊的,没有细节,看着他的手机添加陨石坑和其他细节。
手机的人工智能软件使用数据从“培训”在许多其他的照片添加细节,没有月亮。
“月亮三星的照片是假的,”他写道,导致许多人怀疑,拍摄真的是他们的了,或者他们甚至可以被描述为照片。
三星技术进行了辩护,说它不“叠加”图像,并指出,用户可以切换功能。
该公司并不是唯一一个在比赛中与人工智能——包其智能手机相机谷歌的像素设备和苹果的iPhone自2016年以来一直在营销这些特性。
AI可以做所有的事情摄影师用来劳动——调整照明,模糊背景,削尖的眼睛——用户都毫不知情。
但这也可以改变背景或简单地擦去图像完全的人。
和人工智能的争论并不仅限于业余爱好者在留言板上——专业机构也敲响了警钟。
规避科技
行业充斥着人工智能,从相机到软件Photoshop迈克尔·普里查德说,英国皇家摄影学会的。
“这自动化照片之间的界线也越来越模糊,一件艺术品,”他告诉法新社。
人工智能的本质是不同于以前的创新,他说,因为这项技术可以学习和带来新的元素之外的记录的电影或传感器。
这会带来机遇,也“基本挑战:重新定义什么是摄影,以及“真实”是“一张照片,普里查德说。
尼克Dunmur英国摄影师说协会的专业人士最常使用“原始”文件的数码相机,捕捉图像尽可能少的处理。
但回避技术不容易随意智能手机射击游戏。
Ibreakphotos在Reddit上公布他的发现,指出技术术语在AI并不总是容易理解——也许故意如此。
“我不会说我满意使用人工智能相机,但我好,只要它是每个处理管道确实沟通清楚,”他告诉法新社,要求不使用他的真实姓名。
而不是“human-authored”
不过,专业摄影师所最关心的崛起AI工具生成全新的图像。
在过去的一年中,DALL-E 2, Midjourney稳定扩散人气暴涨,得益于他们的能力来创建图像在成百上千的款式只有一个短的文本提示。
“这不是human-authored工作,“Dunmur说,“在许多情况下是基于训练数据集的使用许可的工作。”
这些问题已经导致美国和欧洲法庭案件。
根据Pritchard工具的风险,扰乱人的工作”摄影师,模型,修图师和艺术导演”。
但乔斯艾弗里,美国业余摄影师最近欺骗数千Instagram,填补他加上惊人的肖像与Midjourney创建,不同意。
他说,“我们的工作”三者之间的关系和“工具的工作”是任意的,指出他的Midjourney图像经常花许多小时创建。
但有广泛共识的一个基本方面的争论——摄影并不存在的风险。
“摄影AI不会死亡,”艾弗里说。
普里查德表示同意,称摄影经历从数字时代的银版照相法,和摄影师一直上升到技术挑战。
这一进程将继续甚至在世界充斥着AI-generated图片,他说。
“摄影师将更深入地理解生成的图像,即使他们没有直接拍摄它,”他说。
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