Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy
This work addresses the need for structured monitoring in AI policy-making, but it is incremental as it applies an existing evaluation framework to a specific national context.
The paper tackles the problem of effectively monitoring a National Artificial Intelligence Strategy by proposing a methodology to identify relevant indicators and assess their alignment with strategic actions, using the Brazilian AI strategy as a case study.
How can a National Artificial Intelligence Strategy be effectively monitored? To address this question, we propose a methodology consisting of two key components. First, it involves identifying relevant indicators within national AI strategies. Second, it assesses the alignment between these indicators and the strategic actions of a specific government's AI strategy, allowing for a critical evaluation of its monitoring measures. Moreover, identifying these indicators helps assess the overall quality of the strategy's structure. A lack of alignment between strategic actions and the identified indicators may reveal gaps or blind spots in the strategy. This methodology is demonstrated using the Brazilian AI strategy as a case study.