Problems with Generative AI Chart

Nov 23, 2023 ·

Generative AI is a rapidly developing field of artificial intelligence that has the potential to revolutionize many aspects of our lives. However, there are still some problems with this technology that need to be addressed before it can reach its full potential. This article examines the nine most common issues surrounding AI generativity, as outlined in a single chart.

The first issue is that AI generative models are highly expensive due to their associated computing costs. This makes them difficult to scale and limits their usability in real-world applications. Additionally, these models have difficulty capturing small details such as background noise or subtle nuances in speech patterns, meaning they may not always be accurate when dealing with these more complex inputs.

Another problem with AI generative models is that they often require significant amounts of data to be trained accurately. This means that organizations may struggle to find the necessary data to train their models. Furthermore, the results of generative models can be unpredictable and can vary significantly depending on the training data used.

The final three issues discussed in the chart relate to the ethical implications of using AI generative models. Firstly, these models can be used to generate fake images and videos. Secondly, they can be used to perpetuate biases by replicating existing forms of discrimination in datasets. Finally, the use of AI generative models can lead to privacy concerns due to the possibility of creating personalized models based on individuals’ data.

In conclusion, although AI generative models offer immense potential, there are several issues that need to be addressed before they can reach their full potential. These nine issues discussed in this article highlight the key areas in which progress needs to be made so that AI generative models can be used in meaningful ways for the benefit of society.