I have lived through the move from paste-up to digital design, saw print reduced to almost nothing, led a photo team that was forced to pivot to video and helped design many apps that were supposed to save us all. None of those changes moved at the speed of generative AI.
After the U.S. Copyright Office put out a call for opinions on how copyright should work with AI-generated material, the world’s biggest AI companies had a lot to say.
As the lines between the real and the artificial blur, photography’s role in preserving and portraying reality becomes even more paramount. While GenAI forces a reevaluation of the purpose and essence of photography, it certainly doesn’t diminish its value. Instead, it pushes photographers to evolve, to be more discerning in their approach, and to capture the world with an authenticity that only they can provide.
Utilizing the latest cryptographic methods and decentralized web protocols, Reuters, Canon, and Starling Lab suggest that the pilot program can “ease concerns about content’s legitimacy.”
The world’s leading photo agencies and photographer associations have co-signed an open letter calling for legal protections against artificial intelligence (AI).
Given that geolocations can be time-consuming, researchers are always on the lookout for tools which can ease or automate parts of the process. That’s where new AI tools come in – particularly chatbots, with their impressive ability to find and process information.
In 2022, an AI-generated work of art won the Colorado State Fair’s art competition. The artist, Jason Allen, had used Midjourney – a generative AI system
Should the artists whose art was scraped to train the models be compensated? Who owns the images that AI systems produce? Is the process of fine-tuning prompts for generative AI a form of authentic creative expression?
Essentially, any aspect of a source image could be of use, provided that it has changed over time. Sometimes clues will be so obvious that it’s possible to immediately figure out the rough date of the source image from one detail alone.
According to a report from the Reuters news agency, companies such as Midjourney will have to reveal the material used to train its artificial intelligence (AI) models. It will be the same for generative language models like ChatGPT.
In this Op-ed, independent photography director and educator Amber Terranova discusses one of the most controversial AI imagery projects in recent weeks.
Getty Images has filed a case against Stability AI, alleging that the company copied 12 million images to train its AI model ‘without permission … or compensation.’
The year is coming to an end, and unlike the previous years, things are not quieting down. In fact, it’s increasing. 2022 is undoubtedly the year of Generative AI. And with it, not only a flurry of applications but many, many questions, if not anxieties. While other events might have happened in the visual space this past year, nothing will be as much remembered as the shockwave created by the successive public releases of DallE, Stable AI and Midjourney. It’s too bad because other technologies, like Neural Radiance Field ( NeRF), can certainly benefit from more exposure. If anything, 2022 has demonstrated that nothing is ever settled in the world of visual tech.
Adobe recently announced new Camera to Cloud integrations, following its recent acquisition of Frame.io. The Fuji X-H2S will become the first stills camera to natively shoot “to the cloud”. This might seem like a niche feature, however look beyond the headlines and this could be a generational step change. Not only because of the ability save to the cloud (like Google Photos) but because of what this then enables.
Understandably, new powerful technologies like generative AI triggers anxiety. But the conversation needs to evolve and move on from the fear of what it might potentially do if left unrestrained: From cataclysmic copyright infringement to the complete substitution of our reality, it is bringing a tsunami of society devastating changes. And if our elected political representatives do not protect us with the combined forces of ethics and legislation, the world, as we know it, will soon cease to exist. Or so they say.
The Vera C. Rubin Observatory’s key instrument is almost ready to be installed on the telescope, where it will image tens of billions of cosmic objects.
That’s when the telescope will begin collecting 20 terabytes of data every night for 10 years. With it, scientists will build a vast map of the sky as seen from the southern hemisphere, including 20 billion galaxies and 17 billion stars in the Milky Way
“Every camera has some imperfections in its embedded sensors, which manifest themselves as image noise in all frames but are invisible to the naked eye.”
Peter Molick’s photography collection brings us around the world, from the unforgiving polar nights of Russia’s Kola Peninsula, captured by Simon Roberts, to the sun-baked landscapes of the American West,…
“Despite having sold out a collection of my own, Crossings (Houston), I hadn’t fully bought into the idea of photographs sold as NFTs. But during this conversation, it really became clear to me that an NFT of a photograph is essentially the digital edition offered of that work by an artist, and it can be as simple as that.
In an effort to combat online misinformation, the Coalition for Content Provenance and Authenticity (C2PA) has released the first-ever technical specification designed to certify the source and history of digital media.
Within its half-open, half-closed status, 2021 will be remembered as a transition year: A melting pot between ending lockdowns, rising vaccines and masks mandates, new variants, ending and restarting restrictions. But if anything, it did nothing to slow down the pace of online innovation—quite the opposite. If visual tech experienced a landmark year, 2021 could be it.
