In recent years, artificial intelligence (AI) research has showcased tremendous potential to positively impact humanity and society. Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision making, sense disambiguation, sarcasm detection, and narrative understanding as these require advanced kinds of reasoning, e.g., common-sense reasoning and causal reasoning, which have not been emulated satisfactorily yet. To address these shortcomings, we propose seven pillars that we believe represent the key hallmark features for the future of AI, namely, multidisciplinarity, task decomposition, parallel analogy, symbol grounding, similarity measure, intention awareness, and trustworthiness.

中文翻译：

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人工智能未来的七大支柱

近年来，人工智能（AI）研究展现出对人类和社会产生积极影响的巨大潜力。尽管人工智能在分类和模式识别相关的任务中经常胜过人类，但在处理诸如直觉决策、意义消歧、讽刺检测和叙事理解等复杂任务时，它仍然面临挑战，因为这些任务需要高级推理，例如常见的推理。 - 意义推理和因果推理，尚未得到令人满意的模拟。为了解决这些缺点，我们提出了七个支柱，我们认为它们代表了人工智能未来的关键标志特征，即多学科性、任务分解、并行类比、符号基础、相似性度量、意图意识和可信度。