Adopting AI in Sri Lanka’s public sector with vision & caution: Insights from LIRNEasia’s Merl Chandana at AI Asia Summit ’24


Posted on November 7, 2024  /  0 Comments

Artificial intelligence (AI) offers significant potential to enhance public services and drive innovation within Sri Lanka’s public sector. At the AI Asia Summit 2024 in Colombo, Merl Chandana, Research Manager and head of the Data, Algorithms, and Policy (DAP) team at LIRNEasia, shared insights on how the government can harness AI effectively and responsibly. Speaking on a panel titled “AI for National Economic Growth and Innovation: enhancing services and driving efficiency,” Merl outlined key considerations for adopting AI in ways that truly benefit citizens.

Practical steps for AI adoption in public services

Merl emphasized that while AI offers vast possibilities, public sector adoption must be both strategic and phased. After highlighting a few ongoing AI pilot initiatives in Sri Lanka’s public sector, he noted that these projects often begin with a strong data foundation and empowered decision-makers with deep expertise in their fields. These pilots also thrive in environments that incentivize collaboration and innovation, creating a solid base for AI to deliver real, actionable outcomes.

Unique challenges in the public sector

The public sector faces unique constraints, including limited resources, low state capacity, use of public funds and the obligation to be fair and just by all citizens. To navigate these challenges, Merl stressed the need for a clear AI strategy. Fortunately, much of this groundwork has already been laid out in Sri Lanka’s draft AI strategy, developed with input from government, academia, and industry. Rather than duplicating efforts, he encouraged leaders to build on these existing resources, fostering partnerships and aligning policies to make AI adoption more cohesive and efficient.

Start small, learn, and scale

He also advised against large, resource-intensive AI projects that may be hard to maintain. Instead, he recommended a gradual approach: starting with small, manageable projects that allow for learning and adaptation. Each phase should be documented to inform future policies and practices, creating a sustainable roadmap for AI in public services.

By taking small, strategic steps, Merl offered a path for Sri Lanka’s public sector to build capacity, develop valuable partnerships, and implement AI in ways that are impactful and responsible. The ultimate goal, he emphasized, is to ensure that AI serves the public good while being adaptable to the unique challenges of the sector.

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