Ethos Issue 27

Ethos Issue 27, Forthcoming
ETHOS Issue 27

Artificial intelligence tools are become ever more pervasive and capable, with an impact that is quickly being felt across all sectors of society. This edition of ETHOS examines how the Public Service is readying itself to thrive, and to help Singapore succeed, in the age of AI, and considers what else can be done to fully harness its potential for the public good, while mitigating its excesses. The full line-up will feature contributions from colleagues across the Ministry of Digital Development and Information and the Department of Statistics, as well as external experts from Accenture, Harvard and the Tony Blair Institute.

Here are some of the pre-published articles for your reading pleasure. The full issue and the print edition will be available soon!

AI in the Public Service: Here for Good

The AI revolution is an opportunity—and responsibility—for the Public Service to harness technological progress in pursuit of a better Singapore.

AI, Technology & Singapore: Preparing for the Future

Given economic, societal andvgeopolitical trends, the rise of AI may have complex aftershocks that could challenge prevailing policy positions and assumptions.

Putting Our Feet to the Fire: The Challenge of Nurturing an AI-Ready Culture in the Public Service

Two leaders of Singapore’s AI push want public officers to be talking, tinkering and trying more to make things better using the new digital opportunities now available.

How Generative AI Can Open New Frontiers in Public Service Delivery and What’s Needed to Get There

To realise the promise of this bold new technology, public agencies must reimagine their workflows and reinvigorate their people.

Supercharging Statistics with AI

The Singapore Department of Statistics (DOS) is pairing (generative) artificial intelligence and machine learning technologies with analytical rigour to boost its data products and statistical services.

LLMs In The Public Sector: Minding What's Missing

Leading researchers argue that users must be able to evaluate and tune AI outputs for their specific needs while using the technology, in order to mitigate some of its key limitations.

Strategising AI at the National Level

Effective national approaches to AI governance account for the technology’s multifaceted and dynamic nature. The Tony Blair Institute for Global Change outlines key dimensions and emerging best practices.