The distinction between genuine and simulated artificial intelligence (AI) is based on how machines or systems simulate or mimic human-like intelligence.
Genuine Artificial Intelligence
Genuine AI often refers to systems that possess true cognitive abilities, similar to the human mind. This means that such systems can learn, understand, draw conclusions, adapt to new situations, and make independent decisions without being explicitly programmed for each specific task. In Can Do, this applies to the assessment of resource overload (ignore, intervene immediately, etc.) and the finding of alternative resources.
The vision behind genuine AI is the creation of machines that can think and act independently, sometimes referred to as strong AI or general artificial intelligence (AGI).
Simulated Artificial Intelligence
In contrast, simulated AI, also known as weak AI, is designed for specific tasks and operates within a predefined framework. These systems simulate human-like behavior or intelligence without truly understanding or learning. They rely on algorithms and data to master tasks such as speech recognition, image recognition, or playing games but cannot act beyond their programmed scope or make generalizations in unknown domains. In Can Do, this includes, for example, the probability calculation of a risk in imprecise planning or the simulation of a person's organizational ability with multiple concurrent tasks.