Risks of AI integration and policy recommendations

The report examines the risks of AI integration in the ASEAN power sector, highlighting data limitations, regulatory uncertainty, and cybersecurity vulnerabilities. It argues that while AI is a 'low-hanging fruit' for accelerating the energy transition, its success depends on strengthening data foundations, updating grid codes, and building AI-ready workforces through phased roll-outs and 'AI sandboxes'.

• AI integration in the ASEAN power sector faces systemic pressures, including the rapid growth of data centres which could account for 2–30% of national electricity demand across ASEAN (excluding Viet Nam) by 2030. These facilities often rely on natural gas to meet stable load requirements, which increases emissions.
• Data limitations—including poor quality, lack of standardisation, and restricted access—increase the risk of unintentional AI failures, such as bias, extrapolation errors in safety-critical operations, and model misalignment with operator goals.
• The transition to decentralised energy systems and the ASEAN Power Grid (APG) increases cybersecurity vulnerabilities. While Singapore and Malaysia have high capacity, countries like Cambodia, Myanmar, and Lao PDR are below the world average. Cyber threats are intensifying, with a typical gas and electricity utility facing over 1500 attacks per week in 2024.
• Regulatory and liability gaps discourage large-scale AI adoption because existing grid codes were not designed for probabilistic AI decision-making. Proposed solutions include 'human-in-the-loop' systems, explainable AI models, and the use of digital twins and virtual commissioning to validate behaviour before deployment.
• To safely scale AI, the report recommends a phased roll-out using 'AI sandboxes'—isolated digital spaces for testing without impacting real-world operations—and the implementation of Machine Learning Operations (MLOps) for continuous monitoring and anomaly detection.

APA

Ember (2026). Risks of AI integration and policy recommendations. https://ember-energy.org/chapter/risks-of-ai-integration-and-policy-recommendations/

Chicago

Ember. Risks of AI integration and policy recommendations. 2026. https://ember-energy.org/chapter/risks-of-ai-integration-and-policy-recommendations/.

Wikipedia

{{cite report |author=Ember |title=Risks of AI integration and policy recommendations |date=3 March 2026 |url=https://ember-energy.org/chapter/risks-of-ai-integration-and-policy-recommendations/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{ember2026risks, author = {{Ember}}, title = {{Risks of AI integration and policy recommendations}}, institution = {Ember}, year = {2026}, month = mar, url = {https://ember-energy.org/chapter/risks-of-ai-integration-and-policy-recommendations/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }