Can AIs replace humans?
Due to developments in the field of artificial intelligence, more and more people are asking whether AIs can replace humans. There is no simple answer to this question. How many tasks an AI can perform depends, among other things, on the used training data and whether the AI is continuously supplied with new information. If the training data is outdated, then the AI’s knowledge is also outdated; in addition, false information found throughout the training set can be reflected in the knowledge of the model. AIs also like to use their acquired knowledge to abstract information, which means that they sometimes “invent” facts. Therefore, AIs are not infallible, which is why the generated results should always be checked carefully.
There is another challenge complicating the development and use of AIs: societal bias. People have different experiences in life, and they form different opinions on a topic and particular political outlooks. The values and prejudices of the AI developers or society at large are automatically incorporated into the programming of the AI, whether intentionally or unintentionally. The same applies to the selection and content of the training data, which is done by humans. This is a particular challenge when you consider the sheer volume of data that is needed for training.
In addition, AIs are only as good as the prompts that they receive. Depending on which prompt is entered, the result can differ greatly. Let’s illustrate our point with an example: We want the image AI Dall-E to generate an image of a house. In the first attempt, we give it the prompt "a house." In the second attempt, we offer a more detailed description of the house and the surroundings: "a photo of a red brick house with a green door and windows with green shutters and a small front yard with flowers enclosed by a white fence". Even though we offer a precise description, such as the color of the fence, for example, every image that is produced is not completely accurate.