Four Foundational Fallacies of AI: A Winding Path to AGI

This article explores Melanie Mitchell's four foundational fallacies of artificial intelligence: equating narrow AI progress with Artificial General Intelligence (AGI); underestimating the difficulty of common-sense reasoning; using anthropomorphic language to mislead the public; and ignoring the importance of embodied cognition. The author argues these fallacies lead to hype cycles and dangerous trade-offs in the AI field, such as prioritizing short-term gains over long-term progress, sacrificing public trust for market excitement, and forgoing responsible validation for speed to market. Ultimately, the author advocates for a synthesis of the 'cognitive paradigm' and the 'computationalist paradigm', infusing current AI practices with scientific principles for safer and more responsible AI development.