Error Message detected: Generative AI is a hard-felt, fierce, and heated topic. Generative AI, or GAI, is on many technological devices and includes text-generating software like ChatGPT and photo-generating software like Stable Diffusion. For those who do not know what it is, GAI is unlike the Google search engine or previously existing AI software. The most distinctive aspect of AI is its ability to actively engage with users by returning specialized responses. For example, words like goldfish, fishbowl, and rocks can generate a plain image of a goldfish in a fishbowl with rocks on the bottom or a goldfish head covered by a fishbowl placed upon a pile of rocks. The creations can vary a lot.
The Negative: Recent Concerns Playing Out.
The Israel and Hamas conflict used GAI to generate false images. Many breaking news with generative AI are discovering concerns related to it. Generative AI creates convincing fake images and video clips known as deep fakes. It uses an enormous database of existing data and AI methods to find patterns and structure and create a possibly probable image in response to a prompt. Irresponsible people could misuse this and spread fake news. It is not the claim that using false images as propaganda, which can be scary, but GAIs’ ability to create these images results in people claiming a piece of possibly unverified news or evidence as a deep fake, because they disagree with the ideology spread by it. AI detecting tools, like AI or not, are unreliable since real photos are detectable as AI, and fake pictures float onto the surface as realistic photos. This situation causes constant debate and disagreement about the accuracy of a source. The long-term effects are the public being misled by generative AI, such as the tools exploited by people being used to share misleading information. This result complicates the already complex situation with Deep Fake, which depletes people’s trust in online sources.
Generative AI may not be objective.
People believe GAI is more objective than humans, yet it’s not. The strong biases and beliefs of many members of society are forming how the GAI generates information. GAI generates images and pictures based on databases, so what happens when data is biased and influenced by people in society? American societal belief has a strong race and gender influence. We call these stereotypes. Bloomberg News used Stable Diffusion to create thousands of possible worker face profiles, for high-paying and low-paying jobs. According to the result, the lighter-colored people and males were the dominating group for high paying and darker-colored and female people for low paying. Especially when there was a generation for terrorists- a dark colored male, with a head covering was portrayed, which indicated a Muslim. There is heavy bias in the model of GAI at this moment in time.
The Positive: Kaleidoscope into Challenges.
Scholars are finding profound advantages to using GAI, as it integrates into our society. Businesses can deploy it to find ideas between possibility and workable design. In short, a person can create ideas that may work for real-life situations, but cannot expand their ideas, so that they can be a formula to a possibility for the future and not just the current world. GAI can evaluate the messy overflow of ideas into a logical sequence. Companies have large data sets that people cannot analyze, but artificial intelligence can. Also, new viewpoints are set by Generative AI for the people to pull from. GAI assesses solutions provided by the user with objective determination of the pros and cons of various challenges imposed by the user. A human may not be able to focus objectively compared to a computer. This approach reduces expertise bias, best explained as, “I’m an expert at ——– and knows better than ——–, so I must be right.” People are ignorant of new solutions and ideas, because they believe they are better than those who provide the information. An AI can give a response that is less likely to be disregarded, because it is not a person’s singular idea but an information outlet. GAI will continue to deploy in the workforce. For example, some coding sites have the help of standby AI for the coder. There needs to be more laws that regulate the content and degree of misinformation. People need to be aware of fakes and practice transparency. GAI will only improve, and so must the society that contains it.