Page 592 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

• Data-Driven Decision Making: AI-generated insights and risk scores will prioritize high-
risk cases, enabling government bodies and donors to allocate resources effectively and
focus audits on the top 5% of high-risk NGOs.
• Strengthened Public and Donor Confidence: By reducing fraud and enhancing
transparency, the system will boost trust in the NGO sector, increasing donor willingness
to fund legitimate social development initiatives by an estimated 20% over two years.

Ethical and Privacy Considerations:

• Data Privacy: All data will be encrypted and comply with India’s Personal Data Protection
Act, 2023. Access restricted to authorized personnel via secure APIs.
• Ethical AI: Models will be audited for bias (e.g., avoiding false positives for small NGOs).
Whistleblower data will be anonymized.
• Transparency: Audit trails for AI decisions will be maintained for accountability.

Use Case Status: The use case is part of a larger research project.

Partners

Partner: Indian Space Research Organisation (ISRO) ,Supplies satellite imagery for geospatial
validation of NGO projects.

2�2 Benefits of use case

Significant Reduction in Fraudulent Activities: The system is projected to reduce fraudulent
transactions by 30% within 12 months of pilot deployment by proactively detecting and
deterring misuse of funds, duplicate registrations, and shell NGOs.

Enhanced Operational Efficiency: Automation of registration verification, financial monitoring,
and audit prioritization is expected to decrease audit processing time by 50%, reducing manual
workload and enabling faster identification of suspicious activities.

Real-Time Detection and Intervention: Continuous monitoring will enable early detection
of irregularities, with 85% accuracy in risk scoring for high-risk NGOs, facilitating timely
investigations and preventing significant financial losses.

Robust Project Validation: Geospatial and satellite data analysis will validate 90% of reported
project locations, ensuring funds are utilized for legitimate initiatives and minimizing
discrepancies between reported and actual activities.

Increased Transparency and Accountability: Real-time tracking of financial transactions and
compliance, coupled with accessible audit trails, will ensure NGOs are held accountable,
fostering a transparent ecosystem for government and CSR funding.

Data-Driven Decision Making: AI-generated insights and risk scores will prioritize high-risk
cases, enabling government bodies and donors to allocate resources effectively and focus
audits on the top 5% of high-risk NGOs.

Strengthened Public and Donor Confidence: By reducing fraud and enhancing transparency,
the system will boost trust in the NGO sector, increasing donor willingness to fund legitimate
social development initiatives by an estimated 20% over two years.

556