Google stops AI image generation. All because of controversy

Google stops AI image generation.  All because of controversy

Google, one of the technology giants, was flooded with a wave of criticism from Internet users, moments after the release of its latest version of the artificial intelligence model, Gemini. The platform, which aims to generate realistic images based on user descriptions, has come under heavy criticism for its portrayal of ethnic and gender diversity.

Gemini, like many other models, is supposed to learn in a way that avoids dangerous or hateful content and introduces diversity in its content. However, users report that the model is overly focused on generating images of women and non-white people, leading to inaccurate historical images.

Google has an AI problem. Gemini under fire

For example, some Internet users noted that Gemini depicts women and people of color in historical contexts that are inappropriate, such as images of Vikings or German soldiers from World War II. Google, reacting to this controversy, announced a temporary suspension of the Gemini model’s generation of images of people. The company also assured that it is working to improve the algorithm to eliminate errors of this type.

The Gemini model was described by Google as their “largest, most capable and most general” artificial intelligence system, but it still did not avoid problems with representing diversity. For this reason, the company decided to temporarily suspend the generation of human images in order to make corrections and release an improved version of the model.

Artificial intelligence problems

Google isn’t the only one struggling with challenges related to generative AI models. Other companies such as OpenAI and Meta are also experiencing similar problems. Therefore, it is important that these companies continue to work on improving their algorithms and ensure that their products are as diverse and bias-free as possible.

The pursuit of improving the quality of generated content and eliminating errors and biases is becoming more and more important, especially today, where artificial intelligence plays an increasingly important role in creating and processing information. Ultimately, issues related to diversity and accuracy are crucial to the success and trust of these technologies in society.

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