Causal Reasoning: A Fairly Overlooked Piece in Artificial Intelligence
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This is a short article on where artificial intelligence (AI) currently stands on stage and what some of the possible next steps are. I argue that AI has had significant progress in many applications and areas, but its inability in causal reasoning must not be overlooked. ...learn more
Project status: Published/In Market
Overview / Usage
This project looks at causality: one of the most important aspects of advanced artificial intelligence (AI). The reasons for why it is crucial to incorporate the knowledge of and ability to infer about causality is explained. Various scholar opinions have been discussed and active frameworks that enable researchers to gain more insight and apply causal inference in AI are presented.
Methodology / Approach
Both frameworks of structural causal models (SCMs) by Pearl and potential outcomes model by Rubin are presented.
Technologies Used
This is an article.