AI Integration Helps Build the Next Generation of E-Government

Author: Stephane Gagnon Abstract Academic research must rely on a clear research agenda leveraging the latest technologies for innovative applications. Hence it is essential to analyze the next research challenge in AI – that is, integrating Machine Learning (ML), Knowledge Graphs (KG), and Multi-Agent Systems (MAS). References [1] Reference [2] Reference [3] Reference Full Article

Anonymity Is Key to Protecting Personal Information​

Anonymity Is Key to Protecting Personal Information. Government has an appetite for AI, but can’t expose PII. Why a sound governance strategy is crucial to data use. By Arnold Toporowski Governments are eager to explore the benefits of artificial intelligence. AI has the potential to streamline services and provide better risk management for government departments.

Use 'AI' to ensure [data security]


AI AGAINST AI The specific strategy to protect AI products and systems against cyber-attacks is in its infancy: data scientists and the Security IT team must put on their creative Seven League Boots to deal with the fast-moving threat. By Hubert Laferrière Data security Cybersecurity is of the outmost importance for the AI community. AI

February Issue of Analytics in Government Quarterly

The New Issue of Analytics in Government Quarterly Addresses Data Security Issues In this Analytics in Government Quarterly (AGQ), we explore issues related to data security. Arnold Toporowski discusses the use of data that include personal information and anonymization approaches that might help relieve privacy issues. Hubert Laferrière examines cybersecurity and the potential of using