Agencies – ABCDQI

Definition: Agentic AI refers to autonomous AI systems that proactively make decisions and gather information to assist with tasks, such as facilitating citizen inquiries or applications.
Benefits for Agencies and Citizens: Enhances government interactions by expediting application processes and improving the overall citizen experience through chatbots and internal tools.
Implementation Challenges: Agencies face security and fairness concerns while implementing agentic AI, necessitating adherence to strict data handling and privacy policies.
Employee Integration: Training programs are crucial to help employees adapt to agentic AI, emphasizing that it will augment their roles rather than replace them, while also considering cost implications.
Future of Government Services: Agentic AI has the potential to revolutionize government services by improving efficiency, but must prioritize data security and privacy to be effective.

A report from New Zealand’s Chief Archivist reveals widespread non-compliance with the Public Records Act 2005 among government agencies, with two-thirds at early maturity stages in recordkeeping.
Only seven agencies have achieved compliance levels above 50%, highlighting significant challenges such as reliance on manual processes and reduced information governance capabilities.
The decline of records personnel by over 15% in the last two years exacerbates issues in effectively meeting regulatory and ethical obligations.
Automated tools, including AI platforms, are being implemented by some agencies to improve compliance, enhance information transparency, and streamline record management without increasing workloads.
The report stresses the importance of responsible information management beyond public agencies, noting that gaps in recordkeeping can harm vulnerable groups and emphasize the need for enhanced governance in handling sensitive information.

Tag: Agencies