Challenges of AI for future generation

Artificial Intelligence

Artificial intelligence has advanced significantly and has had a notable impact on various fields such as finance, healthcare, education, and transportation. By using intelligent systems, complex problems can be solved, tedious tasks can be automated, and decision-making can be improved. However, the growing usage of intelligent systems has led to the emergence of several challenges, including security, safety, fairness, robustness, and energy consumption. These challenges have the potential to affect the effectiveness and reliability of intelligent systems and could lead to serious consequences if not addressed. As artificial intelligence moves from narrow to super intelligence, the challenges it poses, including security, will need to be viewed in a different light. Moreover, designing intelligent systems with human-level intelligence is only possible by addressing all the challenges that come with it. Despite this, a comprehensive summary of the challenges of designing artificial intelligence is currently absent in the literature. The purpose of this paper is to address this gap by reviewing these challenges and answering important research questions about their future dynamics and relationships.

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