| dc.description.abstract | Artificial intelligence (AI) is a catch-all term for computers that can solve problems on their own. Neural networks are often used in such systems. Neural networks have a structure like the human brain and can reorganize themselves to improve accuracy and efficiency. In this way, we hope to create true computer brains that can solve problems faster and more efficiently than humans. Because AI can solve problems faster and more efficiently, it is often assumed that AI has the potential to replace accountants' job obligations. Therefore, this study surveyed ten (10), Bangladeshi accountants, on the job responsibilities and skills required to complete their day-to-day tasks. Additionally, the survey sheds light on accountants' perceptions of whether artificial intelligence can take over their jobs. Find out that accountants must earn higher degrees, such as AIS, CA, CFA, and CFMA, to make better financial decisions for organizations. AI, on the other hand, often follows common patterns or common problems to deliver results. Additionally, AI struggles to consistently provide solutions to unique problems. Therefore, this study conclude that AI can provide effective input to accountants' decision-making process like a friend or assistant. For example, instead of using handwritten ledgers and calculators, accounting professionals can now automate equations in spreadsheets. Spreadsheet software enables public accounting professionals to spend less time on mundane activities and more time on advanced issues. In addition, artificial intelligence can help accountants better track time-consuming and tiresome transactions. AI will enable you to extract data from receipt photos and automatically categorize them by expense category. It then populates the report, allowing it to be analysed in one place and reducing the likelihood of fraud. Finally, this project report concludes with recommendations for accountants to quickly adopt AI opportunities as they become available. This study further suggests that the same research could be conducted in multiple nations and different industry and professional contexts by incorporating the same constructs used in this research. | en_US |
