From the course: CompTIA A+ Core 2 (220-1202) Cert Prep

Unlock this course with a free trial

Join today to access over 25,300 courses taught by industry experts.

Limitations

Limitations

- There are two major types of artificial intelligent models, generative AI and predictive ai. Generative AI is able to develop data such as text, images, code, and more, and predictive AI analyzes data to produce forecasts and predictions. Generative AI is perhaps the AI form that is growing the fastest, regardless, either and in both of these, AI models can produce biases and inaccurate results that reflect any flaws in the training data. AI training data is typically a very large data set that is used to teach AI and machine learning models how to reach a conclusion or perform a task. This data can be text, images, sound, video, and more, in whatever format it's in, training data is essential to develop an AI system. However, should there be any biases or misalignments in the training data, it is very likely that it will be reflected in the results produced by the ai. AI basically works through algorithms, which can only reflect the data provided to them. If the data has a bias or…

Contents