Recently I have seen a few new answers popping up for questions which are a few months or years old, the answers are not bad per-se but they feel like they were generated by an AI, e.g. Chat GPT.
stackoverflow reacted by banning such answers, but the problem of identifying them remains.
This is one example from SQA SE, I really don't know if it was written by a person or generated by an AI but it has the problem Chat GPT has- it "dances" around the point but don't properly answers it while keeping perfect language and structure.
Edit: here's an example
I copied the text of this question to ChatGPT and got a VERY similar answer:
When it comes to test automation for a chatbot, there are a few things that you should pay attention to:
Test Data Generation: Chatbots are designed to understand and respond to natural language input, which makes test data generation a critical aspect of chatbot testing. You'll need to create test data that includes a variety of scenarios, including different intents, entities, and user inputs.
RestAPI: RestAPI can be used to provide test data to your chatbot, but it may not be sufficient on its own. You'll need to develop a strategy for testing the chatbot's functionality and behavior as well.
Sandbox environments: It's often helpful to have access to sandbox environments for testing your chatbot. This will allow you to test your chatbot in an environment that mimics the production environment, but without the risk of affecting real users.
Guidelines: It's important to follow industry best practices when developing your chatbot test automation framework. Some key guidelines to consider include using version control, using continuous integration and delivery, and developing a robust test suite.
Differences from other test automation solutions: Chatbot testing can be more complex than other test automation solutions because chatbots are designed to handle natural language inputs. This requires specialized tools and techniques for generating test data and analyzing the chatbot's responses.
In terms of whether RestAPI is sufficient for testing your chatbot, it really depends on your specific use case. While RestAPI can be a useful tool for providing test data, it's likely that you'll need to incorporate other types of tests as well, such as functional tests that evaluate the chatbot's behavior in different scenarios.