AI Ethics - Evaluation of AI governance frameworks for agri-food businesses

The AI Governance Framework Evaluation service empowers agricultural businesses to capitalise on the immense potential of AI while navigating safely its ethical complexities.Companies recognise the transformative power of AI in areas like precision farming, livestock management, and supply chain optimisation but seek guidance on ensuring responsible development and deployment. They understand the need to build trust with stakeholders, comply with evolving regulations, and mitigate potential risks to maximise the benefits of AI while upholding ethical values. This service provides the needed expertise and framework to achieve those goals. Before & after the service: Before The customer might have AI systems in place but lack a clear understanding of their full ethical implications, potentially overlooking opportunities for improvement. Data privacy compliance may be a challenge. Potential ethical risks may be overlooked. For example, employing facial recognition technology for livestock identification without addressing privacy concerns for farmworkers. After The customer will have a robust ethical framework, including bias detection protocols and transparent data practices, ensuring responsible and fair use of AI. Clear data governance policies and procedures are in place, protecting stakeholder data and adhering to regulations. Risks are identified and mitigated, minimising the likelihood of negative consequences.

Logistics The service starts with a consultation meeting and needs assessment, followed by framework evaluation, impact assessment and support upon request. Repetitions, like training or framework reviews, are tailored to client needs and scheduled accordingly (e.g., annually, ad hoc). Delivery Period The service can be performed throughout the year, focusing on ethical frameworks, data analysis, and algorithms, independent of the vegetation period. On-site impact assessments or training related to specific agricultural practices might be coordinated with the client's operations. Duration Initial phases (needs assessment, framework development, impact assessment) take 8-16 weeks, depending on the system complexity. Ongoing support can be provided upon request. Location The service can be performed remotely or on-site, depending on preference. On-site visits may be needed for observing AI systems or conducting interviews. No strict location requirement exists, but travel costs may apply. Customer Requirements The customer provides access to AI system documentation, data practices, existing guidelines, and key personnel for interviews. Data samples and AI platform access may be needed. Deliverables The customer receives a report documenting the gap analysis, framework, impact assessment, and recommendations, including actionable guidance and resources.

The service is customisable to meet the customer’s needs. Options include tailoring the ethical framework to specific agricultural domains or AI applications, emphasising particular ethical concerns, and adjusting impact assessment depth, training scope, and support level.