section_path: Philosophy/Evaluating approaches to AI/Narrow vs. general AI
section_name: Narrow vs. general AI
paragraph_text: Narrow vs. general AI
  
  AI researchers are divided as to whether to pursue the goals of artificial general intelligence and superintelligence directly or to solve as many specific problems as possible (narrow AI) in hopes these solutions will lead indirectly to the field's long-term goals. General intelligence is difficult to define and difficult to measure, and modern AI has had more verifiable successes by focusing on specific problems with specific solutions. The experimental sub-field of artificial general intelligence studies this area exclusively.