Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy

TL;DR

This paper proposes a methodology to identify relevant indicators for monitoring national AI strategies and assesses their alignment with strategic actions, demonstrated through the Brazilian AI strategy case study.

Contribution

It introduces a novel methodology for selecting and evaluating indicators to monitor and improve national AI strategies effectively.

Findings

Identified key indicators for monitoring AI strategies.

Assessed alignment between indicators and strategic actions.

Highlighted gaps in the Brazilian AI strategy.

Abstract

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.