28th Parliamentary Intelligence-Security Forum – Artificial Intelligence: Implications and Challenges (For Developing Countries)

Prof. Eduardo Araral discussed the utilization of Artificial Intelligence (AI) in the creation, preparation, implementation and evaluation of policy. He explained that AI can be used in drafting and reviewing legislation, and creating models for comparative legal and predictive outcome analysis and data-driven scenario-based simulations of social problems. It can examine public sentiment and conduct consultation analysis on constituents. AI can predict parliamentary reaction to proposed policies, and it can prepare the budget, identify cost-saving measures, and create an automated reporting system.

Prof. Araral also highlighted that AI-powered anti-corruption measures such as anomaly and fraud detection, risk assessment in tenders, real-time monitoring, and cross-referencing stated costs with public data could promote good governance. AI models which improve operational monitoring, automate compliance checks and service delivery, and track any issues in implementation could vastly improve the application of social policies.

Lastly, he said that AI could assist in evaluating the effectiveness of social policy by analyzing its outcome, examining the sentiments of constituents and assessing its impact. Data could also be gathered for future policies through automated reporting.