Aggregate open data on spending, contracts, donations, and ownership. Use ML and graph analysis to flag irregularities like shell firms or nepotism. Build a secure whistleblower portal with AI to filter tips. Visualize illicit networks via interactive dashboards. Use blockchain for tamper-proof audits and SingularityNET for crowdsourced checks. Offer token rewards for data validation, ethical reporting, and community compliance efforts.
This project embodies DeepFunding’s vision of decentralized, beneficial AI for social good. It proposes deploying its analysis services on SingularityNET to crowdsource oversight and incentivize community participation. By promoting transparency and citizen engagement, it aligns with Beneficial General Intelligence principles of AI aiding humanity ethically. The open-source, token-incentivized design reflects SingularityNET’s commitment to collective innovation against global challenges. In tackling corruption, it directly serves public interest and strengthens democratic institutions.
Corruption and illicit financial flows remain hidden due to fragmented public records. Nepotism and fraud are hard to trace, and citizens, journalists, and regulators lack tools to analyze complex money networks. Whistleblowers face risks without secure, AI-supported platforms. Without automation and transparency, corruption thrives—diverting resources from development and eroding trust in institutions.
The system aggregates spending, contract, and registry data, using ML to detect anomalies. An encrypted whistleblower portal uses NLP to prioritize credible tips. Dashboards visualize suspicious ties in spending and ownership. Deployed on SingularityNET, communities validate findings and earn rewards for verified evidence. Automating detection and crowdsourced oversight empowers citizens and institutions to drive accountability and reduce corruption.
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