real or fake? AI, editing tools make serious storms more difficult to verify photos
When severe storm is killed, many people arrive for their phones and cameras to catch images and videos that are happening around them.
And in Canada, organizations such as Storm Chaser and Environment and Climate Change Canada (ECC) partially rely on the public on monitoring serious weather activity.
But in recent years, people have begun to create weather stories using photo editing software to modify images, making photos and videos using AI (Artificial Intelligence) using AI (Artificial Intelligence) and lying about the date and time of taking a photo and even a photo.
“We have amazing satellites and radars, but they can only tell us a lot,” told CBC, a meteorologist at ECCC, but they can only tell us a lot. ”
Luke said that he rely on reports and photographs from the public for thunderstorms and heavy icy storms.
Luke said, “We can issue a warning saying that we have this size or trees report.” “And then if we later came to know that it was not true, it’s okay, now we have released that warning like a false alarm.”
He explained that there is not even a touch of editing in some images with the aim of cheating ECCC. Luke used an example of a tornado image that was presented in Ontario.
“It was a real picture of a real tornado, but it was just from a different place,” Luke said. “It was sent in this way (if it) happened only in South -Western Ontario.”
Before confirming the tornado, the organization tracked the image back into a newspaper located in Texas. Luke said that this is just an example of deception during serious weather events.
Reliability affected
Jenny Hagan is a storm chaser and serious meteorologist at Suskechewan. Trading storms as they are and documenting them for organizations such as ECCC is a major part of their job.
Hagan said that the report of false weather and the influx of images has started affecting the credibility of everyone’s work.
“It ruins the reliability of real work,” Hagan said. “Storm Chaser will spend years in respecting their skills and capturing these real moments. AI reduces the value of those efforts.”
“When we are educating the public on the security of storms and storms, this fabricated content can actually hurt the accuracy to pursue the storm.”
As a person who is very active on the social media pages of the weather, Hagan said that fake material is a trend that has begun to be removed.
“Everyone is focusing a little,” said Hagan. “This happens quite often, I think, between AI images and images, images shared under false excuses. I look at those people at least a week nowadays.”
He reported that a reliable storm like himself would edit the storms of the storm, such as removing a power pole to disrupt the scene of the cloud formation or to adjust brightness, if the camera does not capture a storm in the same way that we do our eyes.
But editing the image of a serious weather in any way can cause storm chaser and confusion to the public.
Last year, an image aired on social media created confusion in Suskechewan Storm World, Hagan said. A picture showing a tornado and how it changed during a storm, was confused to having an image of touching the image of six tornado in the province at a time.
Hagan is not fully writing the use of AI in its area. He said that new storm chasers often use it to break the model of complex weather or track some storm movement.
Hagan said that false severe weather images become more normal, there are some tips to determine whether any image is real, it is involved in search of the bold pop of color or unrealistic cloud structures, and using important thinking to determine whether the weather phenomenon can be completely.
Anatomy
Since wildfires in Canada become more common, the public now depends on the weather reports.
Manjula Selvarajah, a technology columnist for the CBC, said, “This is a time when people require really valid and verified information because their property and their lives depend on it.”
Selvaraj said that one of the easiest ways to detect a false image is by looking at his metadata: the time, date and exact location photo was taken. However, he said that there is still something that can be easily manipulated.
“Now it becomes meaningless, because if you see that important information, pictures, moving image and audio are used, then it can be generated by AI,” Selvarajah said. “So the level of evidence is now gone. I think it is going to be a real loss.”
Usually, the human eye can detect images that seem defective. Selvaraj said that the condition of serious weather is not such a thing that most people are accustomed to, which makes it difficult to separate the truth.
Since the ability to modify images is becoming more accessible, Selvaraj warned that it would be more difficult to determine which images are reliable.
“I think at a certain point, we are not really able to tell what is real,” he said. “We have really lost powerful tools to spread the story tell and information.”
