ChatGPT when asked:
What happens when two types of dataset poisoning attacks that can corrupt AI system results?
Dataset poisoning attacks are a type of cyberattack where an attacker tries to manipulate the data used to train an AI system. There are two types of dataset poisoning attacks: data poisoning and model poisoning.
Data poisoning attack: In a data poisoning attack, an attacker tries to inject malicious data into the training data of an AI system. The goal of the attacker is to corrupt the model’s training process, leading to a model that is biased or performs poorly on certain tasks. The malicious data may be designed to look similar to legitimate data, but it can contain subtle variations that cause the model to make incorrect predictions.
Model poisoning attack: In a model poisoning attack, an attacker tries to manipulate the AI model directly. The attacker may try to modify the model’s parameters or its architecture to change its behavior. For example, an attacker may modify the model to classify certain images incorrectly or to ignore certain types of input data.
If both data poisoning and model poisoning attacks are used together, the result can be even more devastating. In this scenario, the attacker injects malicious data into the training set and simultaneously modifies the model’s architecture or parameters to increase the impact of the malicious data. As a result, the model becomes even more biased or performs poorly on certain tasks, leading to potentially disastrous consequences.
To protect against these attacks, AI developers can use various techniques, such as data validation, anomaly detection, and adversarial training. These techniques aim to detect and mitigate the effects of malicious data and model modifications, and to make AI systems more robust and secure.
That is a pretty good essay.
An AI like ChatGPT reflects the values, knowledge, and biases of its programmers and its users. You get out of it what the community puts into it.
Society appears to be swirling into various corners of insanity and delusions. We can expect AIs to mirror that confusion. Best not to connect them up to any powered equipment.