Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2023

Abstract

In recent years, AI research has showcased tremendous potential to impact positively 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., commonsense 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.

Discipline

Artificial Intelligence and Robotics

Research Areas

Information Systems and Management

Publication

IEEE Intelligent Systems

First Page

62

Last Page

69

ISSN

1541-1672

Publisher

Institute of Electrical and Electronics Engineers

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