# The Development of an OpenAI-Based Solution for Decision-Making
## 1 Introduction
Incorruptibility means that local modifications of the data cannot alter the validity or history of the chain. Similarly, transparency--achieved by distributing data among all nodes--enables everyone to verify the validity of transactions and view the complete history at any moment. Although blockchain technology was initially implemented in cryptocurrency systems (primarily to maintain a transaction ledger), its function has gradually expanded to other domains, such as decision-making. Previous research has explored using AI and blockchain in decision-making, especially using voting systems for decision-making in financial markets [17], aiding in other democratic matters like elections [18], and solving frauds in elections [19]. However, there is a lack of evidence in terms of using AI and blockchain technology for organizational decision-making. Furthermore, existing AI decision-making tools like Decision Mentor and GiniMachine have certain weaknesses. Decision Mentor may struggle to evolve based on user preferences, and GiniMachine relies heavily on the quantity and quality of data--if data are sparse, its predictive power weakens and it may lack transparency. The current model aims to address these weaknesses by incorporating blockchain technology for greater transparency. Blockchain provides a decentralized environment where no single entity controls the decision-making process, and it ensures that data cannot be tampered with. In conventional blockchain operations, each newly created list of transactions (block) in the ledger includes a reference (hash) to the previous block, allowing them to validate each other. Different techniques have demonstrated how this idea can support decision-making. For example, one can maintain a comprehensive record of decisions, which can be used to support future decisions. By analyzing past data with AI or Big Data to extract patterns, more effective solutions can be obtained [20]. The Proof of Authority (PoA) algorithm is an efficient method for reaching consensus on the blockchain while protecting data privacy. PoA leverages the value of identities by authenticating nodes designated as trustworthy, maintaining a high standard of security [21]. This approach allows businesses to preserve their privacy while still gaining the benefits of blockchain technology [5]. Prior research shows that AI can enhance efficiency, accuracy, automation, and predictive data analysis [9]. However, research also highlights that in decision-making, AI faces challenges like ethical concerns [22], biases [23], issues of interpretability and explainability [24], and difficulties in human-AI collaboration [25]. To address these challenges, we designed a decision-making system that incorporates blockchain technology. Integrating blockchain into decision-making can shorten the gap between efforts and outcomes; it also helps incorporate feedback, improve input quality, and provides an intrinsic ability to enforce choices. These benefits complement areas where using AI models alone is weak [26]. Therefore, this study aims to explore the use of OpenAI-based solutions for organizational decision-making. Although AI-based decision applications such as 'Decision Mentor' and 'GiniMachine' exist, they do not utilize blockchain to overcome AI-related challenges. Moreover, most existing applications and models for AI decision-making lack an exclusive focus on organizational settings. This study addresses that gap by designing and implementing an OpenAI-based organizational decision-making application. The research objectives are as follows:  
1. To design the frontend and backend of an application for organizational decision-making. 2. To practically design and test the decision-making application with a real-world organization. 3. To assist in organizational decision-making in organizations requiring voting and a transparent medium for decision-making.