Jakarta (ANTARA) - The advancement of artificial intelligence (AI) is\nmaking photos and videos increasingly realistic, making them difficult\nto distinguish from original content. The public needs to be more\ndiligent in checking sources, context, and digital footprints before\ntrusting or sharing such media.<\/p>\n
Generative AI technology is now capable of creating images and videos\nwith extreme detail that closely resembles reality. Human faces, voices,\nlocations, movements, and even specific environmental conditions can be\ncreated or modified using this technology.<\/p>\n
This situation makes the ability to verify content authenticity\nincreasingly important, especially when photos or videos are used to\ndisseminate information regarding ongoing events.<\/p>\n
Do not rely solely on visual appearance<\/strong><\/p>\n One initial way to check a photo or video is to look for unnatural\ndetails. In several pieces of AI-generated content, anomalies can be\nseen in the shape of hands and fingers, text, reflections, shadows,\nfacial expressions, or lip movements. However, these signs are becoming\nharder to detect as the quality of AI technology continues to evolve.\nTherefore, content that looks highly realistic does not automatically\nmean it is true.<\/p>\n Verify the content source<\/strong><\/p>\n The next step is to find out where the photo or video originated. If\na video claims to show a major event, check whether similar events are\nbeing reported by trusted media outlets or confirmed by official\ninstitutions. Pay attention to who first uploaded the content, when it\nwas uploaded, and whether the accompanying caption matches the claimed\nevent.<\/p>\n Photos or videos circulating only through anonymous accounts without\nclear sources should not be trusted immediately. For suspicious photos,\nreverse image searches can help determine if the image has appeared\npreviously on the internet. This method is useful for finding old photos\nthat are being reused with different captions or contexts. A photo\nclaimed to be a recent event might actually originate from an incident\nseveral years ago. However, the failure to find a matching image does\nnot automatically mean the photo is authentic; new or less widespread\ncontent may not yet appear in search results.<\/p>\n Observe metadata and digital footprints<\/strong><\/p>\n Metadata can provide additional information about a file, such as the\ndevice used, the time of creation, or other technical details. This data\ncan serve as a clue when examining a photo or video. However, metadata\nshould not be used as the sole evidence, as information within it can be\nlost or altered when files are processed and shared through certain\nplatforms. Verification can also be conducted by looking at the\npublication history and changes made to the content.<\/p>\n Recognise content credentials<\/strong><\/p>\n An evolving technology designed to help verify the origin of content\nis \u2018Content Credentials\u2019. This technology allows information regarding\nthe creation process and changes to a piece of content to be recorded\ndigitally. Users can determine whether a photo was captured with a\ncamera, edited with specific software, or involved AI. Content\nCredentials is one of the approaches being developed by the tech\nindustry to provide more transparent information regarding content\nhistory.<\/p>\n However, not all photos and videos possess this feature, so the\nabsence of Content Credentials does not necessarily mean the content is\nfake. Some technology companies are using digital watermarks to help\nidentify AI-generated content. Google, for example, uses SynthID to\nembed a digital watermark that is invisible to the human eye into\ncertain AI-generated content. This mark can be used to assist the\nverification process. By 2026, this technology has been expanded to\nassist in the examination of images and videos through specific\nservices. Nevertheless, the absence of a watermark cannot be used as\nproof that content is an original camera recording.<\/p>\n Do not over-rely on AI detectors<\/strong><\/p>\n Various tools are currently available that claim to determine whether\na photo or video was created using AI. While these tools can be helpful,\ntheir results should not be considered absolute. Detection technologies\nhave limitations and must constantly adapt to the developments in\ngenerative AI. A photo may even be a combination of original content and\nAI editing. For instance, an original photo of a person might be edited\nto change the background, remove objects, or add certain elements.\nTherefore, the question to be answered is not just whether a photo is\n\u2018AI or not\u2019, but also whether the photo has undergone alterations and to\nwhat extent those changes were made.<\/p>\n Be wary of videos featuring public figures<\/strong><\/p>\n Videos featuring public figures should be examined more carefully,\nespecially if they contain controversial statements, investment\npromotions, requests for money, or specific calls to action. Deepfake\ntechnology can make a person\u2019s face and voice appear as though they are\ntruly saying something they never actually said. If you encounter such a\nvideo, seek statements from the official accounts of the person involved\nor other trusted sources before believing it.<\/p>\n Another frequently overlooked factor is that the authenticity of a\nphoto does not always mean the accompanying caption is true. A photo may\nindeed be taken with a camera, but used to depict a different event. For\nexample, a photo of a disaster from several years ago may resurface and\nbe claimed as a recent occurrence. In such cases, the issue is not a\nfake photo, but misleading context. Therefore, checking the date,\nlocation, and related events of a photo is just as important as\nverifying its visual authenticity. Do not immediately share suspicious\ncontent.<\/p>",
"url": "https:\/\/jawawa.id\/newsitem\/how-to-distinguish-ai-generated-photos-and-videos-from-original-content-1789391077",
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"sponsor": "Okusi Associates",
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