Reporting AI Use to Funders and in Annual Reports

Understanding Reporting Requirements

Charities must maintain transparency when using artificial intelligence systems, particularly when receiving funding from public or private sources. Funders want to know how AI tools affect their investment and whether the organization manages risks appropriately. Annual reports serve as formal documentation of AI usage and outcomes.

The reporting process involves documenting AI implementation, outcomes, and any issues that arose during use. This information helps stakeholders understand the organization’s approach to AI adoption.

Most funding bodies require detailed explanations of how technology affects beneficiary outcomes. This includes describing AI tools used, their purpose, and any changes in service delivery. The reporting framework should align with existing financial and operational reporting structures.

Organizations must identify which AI systems require reporting and establish consistent documentation processes. Regular updates ensure funders understand ongoing AI activities rather than receiving information only at annual review periods.

Key Elements for Funders

• AI System Description – Clearly explain what AI tools are being used, including names, purposes, and how they integrate with existing processes
• Risk Assessment – Document identified risks related to AI usage and explain mitigation strategies
• Beneficiary Impact – Show how AI affects service delivery to beneficiaries, including any improvements or concerns
• Financial Details – Include costs associated with AI implementation, maintenance, and training
• Compliance Status – Demonstrate adherence to relevant regulations and organizational policies

For example, a local food bank using AI to predict demand might report that the system helps reduce waste by 15% while ensuring adequate supplies for those in need. The report would explain that this improvement occurred through better inventory management rather than reduced human attention to beneficiary needs.

Funders appreciate specific examples that show practical benefits without compromising vulnerable populations.

Organizations should prepare separate sections for AI reporting within their existing financial statements. This approach makes it easier to maintain consistency and reduces administrative burden. The AI section should include timeline information showing when systems were implemented and any significant changes during the reporting period.

Regular updates through quarterly reports or newsletters help maintain transparency throughout the year.

Annual Report Integration

Annual reports provide an opportunity to showcase AI’s role in organizational success. The AI section should demonstrate both achievements and challenges faced during implementation. This balanced approach shows honest evaluation of technology use.

The section should explain how AI contributed to meeting organizational goals while maintaining focus on beneficiary welfare.

Specific examples help readers understand AI’s practical impact. A charity providing mental health support might describe how AI chatbots handle initial inquiries, freeing human staff for complex cases. The report would note that these systems maintain confidentiality standards and that human oversight remains essential.

Such details reassure readers that AI enhances rather than replaces human care.

Reporting should include any training provided to staff using AI tools. This demonstrates investment in proper implementation rather than simply purchasing technology. The annual report might mention that staff received workshops on AI limitations and ethical considerations.

These efforts show commitment to responsible AI use. The section should also address any feedback from beneficiaries regarding AI interactions, including concerns or suggestions for improvement.

Organizations must ensure their AI reporting meets ISO 31000 risk management standards. Clause 4.3 requires identification of AI-related risks and establishment of controls. Clause 5.2 covers risk assessment processes that should apply to AI systems.

Clause 7.2 addresses communication of risk information to relevant parties. These requirements ensure proper documentation of AI activities and their management. The reporting process should demonstrate these elements through concrete examples of AI implementation and oversight.

Regular review of reporting processes helps maintain accuracy and relevance. Organizations should assess whether their AI reporting meets funder expectations and identifies areas for improvement. This ongoing evaluation ensures that reporting remains useful for both internal management and external stakeholders.

The goal is clear communication that builds trust through transparency rather than technical jargon or vague statements about AI benefits.