Artificial Intelligence in 2026: Predicting Breakthroughs and Challenges

Dr. Ahmad, Al-Faisal (2024) Artificial Intelligence in 2026: Predicting Breakthroughs and Challenges. American Journal of Engineering, Mechanics and Architecture, 2 (7). pp. 107-115. ISSN 2993-2637

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Abstract

As we approach the mid-2020s, artificial intelligence (AI) continues to evolve at a rapid pace, significantly influencing various sectors including healthcare, finance, transportation, and entertainment. This article explores the anticipated breakthroughs and challenges in AI by 2026, drawing on current trends, technological advancements, and expert predictions. Key breakthroughs expected include enhanced natural language processing capabilities, significant strides in autonomous systems, and the proliferation of AI-driven personalized medicine. However, these advancements come with challenges, such as addressing ethical concerns, ensuring data privacy, and mitigating biases in AI algorithms. Additionally, the article examines the potential societal impacts of widespread AI adoption, including shifts in the job market and the need for robust regulatory frameworks. By analyzing these developments, this article aims to provide a comprehensive overview of the future landscape of AI, highlighting both its transformative potential and the obstacles that must be navigated to realize its full benefits.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	07 Aug 2024 10:40
Last Modified:	14 Aug 2024 09:58
URI:	http://eprints.umsida.ac.id/id/eprint/13955

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