Role of AI in Improving Decision Making in Daily Human Activities

Abstract

Artificial Intelligence (AI) has become a key tool that helps improve decision-making in many everyday tasks that people do. This paper examines how AI aids both individuals and organizations in making faster, more informed, and more accurate decisions in everyday life. By analyzing large amounts of data, identifying patterns, and generating useful insights, AI enables people to make informed choices. The importance of AI in decision-making is increasing because there\'s a growing need to handle more complex choices in areas such as healthcare, finance, education, transportation, and personal task management. AI-powered applications provide users with suggestions, predictive insights, and automated support, thereby minimizing manual tasks and reducing the risk of errors. For example, in healthcare, AI helps doctors diagnose illnesses and plan treatments; in finance, it assists individuals in tracking their spending, identifying fraudulent transactions, and making informed investment decisions. Intelligent assistants, navigation tools, and recommendation engines help make everyday choices easier. The results show that AI significantly enhances the speed, accuracy, and reliability of decisions, thereby increasing human productivity and improving the overall quality of life

Introduction

The text discusses the growing role of Artificial Intelligence (AI) in improving human decision-making across various areas of daily life. AI is a branch of computer science that enables machines to perform tasks that normally require human intelligence, such as learning, pattern recognition, problem-solving, language understanding, and decision-making. AI systems use algorithms, machine learning models, and large datasets to analyze information and generate useful insights.

The paper explains that decision-making is an essential part of everyday life in areas such as healthcare, education, finance, transportation, shopping, and communication. While humans often struggle to process large amounts of information or predict future outcomes, AI can quickly analyze data, identify patterns, and provide accurate recommendations. This helps individuals and organizations make smarter, faster, and more reliable decisions.

The literature review highlights how AI-based decision support systems (DSS) are widely used to handle complex datasets and assist users in choosing the best solutions. In healthcare, AI helps doctors diagnose diseases and recommend treatments using patient records and medical images. In finance, AI is used for fraud detection, risk analysis, investment planning, and budgeting. In education, AI supports personalized learning, tracks student progress, and improves teaching strategies. Studies show that AI enhances efficiency, accuracy, and decision quality, though researchers also emphasize the importance of ethical use, transparency, and reliability.

The paper’s objectives include:

• Understanding the concept and growth of AI
• Studying how AI supports decision-making in everyday life
• Identifying sectors where AI is widely applied
• Evaluating the benefits of AI, such as improved speed, accuracy, and efficiency
• Examining challenges like privacy concerns, ethical issues, and overdependence on technology

The research uses a qualitative and descriptive methodology based mainly on secondary data sources such as research papers, journals, books, and case studies. The collected information is analyzed to identify common patterns in how AI supports decision-making and to evaluate both its advantages and challenges.

The paper also discusses AI applications in several key domains:

1. Healthcare – AI assists in early disease detection, diagnosis, and treatment recommendations.
2. Financial Planning – AI supports budgeting, fraud detection, investment analysis, and financial forecasting.
3. Education – AI enables personalized learning and intelligent tutoring systems.
4. Personal Productivity – AI-powered assistants and recommendation systems help manage tasks and schedules efficiently.
5. Workplace Decision-Making – Businesses use AI for customer analysis, marketing, hiring, and resource management.

Conclusion

Artificial Intelligence (AI) has become a strong tool that helps and makes better decisions in everyday activities people do. This study looked at how AI helps people and groups by looking at a lot of data, finding patterns, and giving helpful information to make better decisions. The research talked about how AI tools are being used more and more in key areas like healthcare, planning money matters, teaching students, helping people stay organized, and managing work environments. The results of this study show that AI enhances the speed, accuracy, and efficiency of decision-making processes. AI systems help minimize human errors, offer data-driven recommendations, and support in forecasting future outcomes. In healthcare, AI helps doctors identify illnesses and create treatment plans. In finance, it assists people in handling their investments and spotting any dishonest or illegal actions. In education, AI facilitates personalized learning and enhanced academic planning. AI tools help people work more efficiently and support important business decisions in the workplace. The study also points out some challenges, like worries about data privacy, biased algorithms, dependable results, and ethical problems. These challenges highlight the necessity for responsible development and appropriate regulation of AI technologies. In short, Artificial Intelligence helps people make better decisions by offering smart support and powerful tools for analyzing information. As AI technology continues to advance, it is anticipated to further enhance the quality and effectiveness of decisions in everyday human life.

References

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Copyright

Copyright © 2026 Shubham Kumar Bhariya, Ms. Heena Kausar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.