On January 14, 2014, photographer Narciso Contreras was dismissed by AP for editing a war photo, raising issues of journalistic integrity and trust. Recent advancements like the Content Credentials metadata framework aim to restore authenticity in images, flagging edits and AI involvement. Major tech companies, camera manufacturers, and news agencies are adopting this transparency standard, signaling a paradigm shift in the credibility of visual content.Continue Reading

assorted beans in white sacks

Major tech companies like Google, Meta, and OpenAI are labeling AI-generated images as “AI-generated” to distinguish them from authentic photos. These labels support the C2PA standard which is gaining industry support, emphasizing transparency for consumers and protection against deceptive imagery. An upcoming panel will discuss the effectiveness and future of these labeling practices, although the system isn’t foolproof due to the potential to manipulate image metadata. The industry is also exploring AI detection tools as another method to identify AI-generated content.Continue Reading

Deepfake technology struggles with the uncanny valley not just in visuals but in narrative believability. Effective deepfakes are subtle, avoiding suspicion by mimicking mundane reality. The major challenge for deepfakes, as illustrated by elections and AI-generated images, lies in crafting convincing stories, not just in visual realism. Education helps people discern truth, highlighting the need for vigilance in the face of potential misuse of digital manipulation.Continue Reading

Preamble: Photography is the process of creating images by recording light. The word comes from the Greek words photo, meaning “light,” and graphé, meaning “to draw”. Datagraphy is the process of creating images using data, as per with generative AI. It blends “data,” referring to numerical or structured information, with “-graphy,” aContinue Reading

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Generative AI has revolutionized content creation, allowing businesses to produce high-quality, personalized content at scale. However, with this technology comes a significant challenge – the trust issue. One of the main concerns with generative AI is that it may produce false or misleading content, which can harm the credibility ofContinue Reading

An arachnid man once said: ” with great power comes great responsibility”. In the case of AI, this statement could not be more accurate. With the quick appearance and large availability of generative AI, issues around ethics and responsible behaviour have increased, forwarding the debate to the front of manyContinue Reading

As photography replaced drawing in some of its functions, the same is happening with synthetic media and photography. As we extend our plane of existence into becoming partly digital – think metaverse – tools like light-produced photography become inadequate. And while we accept a new representation of reality, the discourseContinue Reading

a screen with s lot of photos on it

The age of the camera is slowly coming to an end—especially the bulky DSLR and all its associated declinations. In a very short while, all that will be left will be those pesky in-object cameras, like the one in our cell phones and a query type box in our browser.Continue Reading

2020 has made screens our primary interface to the world. While pre-pandemic, we were mostly physically interacting with the world, using all of our six senses, the past year has been essentially just visual.  Except for our immediate family, it is via a digital representation, text, photos, or video thatContinue Reading