Online A.I. Image Recognition Technology is Rapidly Advancing
In an effort to step up its Google Plus social network with advanced features that dwarf Facebook pictures can now be auto-tagged by Google. After all who likes to type redundant information when computers can do it?
The real question is how long before this feature makes it over to other Google properties like YouTube or Google Glass. The neat thing about your Google Plus profile is that you can Tag your own face in your pictures and have yourself rank very high and compete with those mugshots. Keep in mind Google favors its own properties in search results. So the more content you give them about yourself and make public the more of you they can and will display in their search results. The more galleries you have on G+ the better if you are looking to bury your mugshots.
In recent years, there has been a surge in the popularity of artificial intelligence. This has been seen from the widespread use of A.I. across consumer industries such as advertising, finance, and manufacturing to name just a few. While the traditional form of artificial intelligence has been limited to more mundane tasks such as inventory control and customer service, it is now being used more and more in image recognition technology. This new application has some very promising potential but also carries some risks.
Automation will cut down on manual labor and promote a more efficient workplace, also potentially reducing embezzlement and errors in data entry. Recent advancements in Artificial Intelligence and Machine Learning have led to a new breakthrough: the ability to recognize images online. This technology is still in its early stages, but it has immense implications for use on websites, social media profiles, and even dating apps. These new technologies are able to determine if someone is male or female, their age range, what they are wearing, what kind of background they are against, how many people are in the image, and more.
Privacy is an issue for consumers since they don’t themselves control the information generated by the algorithms. Every day, more and more of the world’s population becomes connected to the internet. This makes for a vast amount of data that can be collected and analyzed by A.I., which is already being used in a number of situations. Image recognition is one such technology that has been explored, but there are still some limitations. Another factor affecting privacy is inequality. If you’re rich enough to afford an iPhone X, then you’ll likely be recognized as such when using your phone in public. Conversely, if your house catches fire, there may be no way to identify who was inside unless the security footage shows them leaving.
One limitation is that computers can only work with what they are given while humans can take any information and make sense of it. Computers do not have a worldview, but people do, so there will be differences in how we tell the story of the world to each other.
Alex Adekola is a thought leader in the reputation management industry who has targeted mugshot publishers since 2012. Alex Adekola is the longest-serving reputation and crisis management strategist and has written a book on mugshot removal. He is the creator and director of strategy at RemoveMyMugshot.org and Incept Technologies, LLC.