We ask various language models to answer our questions and discuss the results
Designing and developing tests for artificial cognition:
To design and develop tests that provide concrete evidence for artificial cognition, we can adopt the following steps:
a. Define the dimensions of cognition: Identify the key cognitive elements such as perception, learning, memory, problem-solving, decision-making, and language understanding.
b. Set performance benchmarks: Establish performance benchmarks for each cognitive element, based on human-level or superhuman-level abilities.
c. Develop specific tasks: Design tasks that target the different cognitive dimensions. For example, use CAPTCHAs to test perception, the Turing Test for language understanding, and the Winograd Schema Challenge for common sense reasoning.
d. Continuous evaluation: Monitor the performance of AI systems on these tasks to assess their progress over time.
Update the tasks as needed to ensure they remain challenging and relevant.