AI identifies corruption risks in the draft law “The Law on Piloting Mail-in Voting” (Moldova)

Summary:

The AI platform BestAgreement.ai effectively, quickly and reliably identifies corruption risks in legislative acts, offering better results than traditional expert analysis. 

BestAgreement.ai analyzed the draft law “The Law on Piloting Mail-in Voting” (Moldova) in 30 seconds, whereas human analysis requires significantly more time. BestAgreement.ai identified 17 corruption risks, whereas the traditional legislative analysis conducted by the National Anti-Corruption Center of the Republic of Moldova revealed only 4 potential corruption factors.

Problem Statement:

Traditional analysis of laws for corruption risks conducted by legal experts is time-consuming and susceptible to bias. Experts may face pressure to deliver specific conclusions and might lack comprehensive knowledge of all aspects of the issues at hand. This underscores the need for innovative approaches to detect corruption risks. Therefore, developing and applying new technological solutions, incorporating AI, to analyze legislation for the presence of corruption risks is essential.

BestAgreement.ai as a solution:

Bestagreement.ai employs advanced AI technology to analyze legal acts and identify potential corruption risks. Using Bestagreement.ai, Stopcorruption.AI analyzed the draft law “The Law on Piloting Mail-in Voting” (the Republic of Moldova) to identify potential corruption risks.

Comparative Analysis of AI results with traditional expert report on corruption risks:

The conclusions from the AI analysis prepared by BestAgreement.ai were compared with those from a traditional legal expert analysis of the same draft law. Here’s a summary of the findings:

1. Identification of corruption factors:

BestAgreement.ai identified 17 corruption risks, while traditional legislative analysis conducted by the National Anti-Corruption Center of the Republic of Moldova revealed only 4 potential corruption factors. The conclusions provided by AI and experts coincided in only two cases.

2. Time spent on research: 

• Bestagreement.ai: 30 seconds per legal act.
• Traditional legal expert analysis: 5+ days per legal act.

3. Conclusion:

• The comparison between the AI analysis (BestAgreement.ai) and the traditional legislative analysis (the National Anti-Corruption Center of the Republic of Moldova) clearly demonstrates the effectiveness of the AI-based solution.
• The AI analysis provided detailed descriptions and explanations of potential issues, demonstrating its reliability in identifying legal conflicts and corruption factors within the draft law.
• The findings suggest that AI tool BestAgreement.ai can complement traditional legal analyses by identifying potential issues that human experts might overlook.
• The implementation of BestAgreement.ai can greatly enhance the accuracy and efficiency of corruption risk assessments, offering a more robust and reliable tool for maintaining legislative integrity and transparency.

List of Documents: 

1. The draft law “The Law on Piloting Mail-in Voting” (the Republic of Moldova)  – download
2. The anti-corruption expertise report of the Law on Piloting Mail-in Voting prepared by the National Anti-Corruption Center of the Republic of Moldova – download
3. The AI analysis,  prepared by BestAgreement.ai –  download
4. Comparative Analysis of the anti-corruption expertise report of the Law on Piloting Mail-in Voting of the Republic of Moldova with the results of AI Analysis – download