At Asia Tech x Singapore (ATxSG) 2026, industry leaders, policymakers, and governance experts came together to discuss one of the most pressing questions shaping the future of artificial intelligence: how can organisations deploy AI responsibly while maintaining innovation, trust, and accountability?
The panel session, “Responsible AI in Practice: Governance, Accountability, and Trust in a Fragmented Global Landscape,” explored the growing complexity of AI governance across industries and jurisdictions. As AI adoption accelerates globally, the conversation highlighted the urgent need for practical governance frameworks that balance innovation with safety, transparency, and public trust.
The session brought together diverse perspectives from academia, policy, regional governance, and industry.
Representing the AI Asia Pacific Institute (AIAPI), Kelly Forbes joined the panel alongside Dr. Jason Grant Allen, Associate Professor at the SMU Centre for Digital Law; Victoria Wymark, Data and AI Transformation Director at Algnite Women; and Hazremi Hamid, Senior Officer for Digital Economy (AI Governance) at the ASEAN Secretariat. The session was moderated by Jonathan Gonzalez, Associate Director of AI Governance at Access Partnership.
Balancing Regulation and Innovation
One of the core themes of the discussion was the challenge of balancing effective regulation with the need to foster innovation. Panelists explored the tension between hard regulatory approaches and industry-led self-regulation, noting that both governments and private sector actors have critical roles to play in shaping responsible AI ecosystems.
The discussion highlighted how regulatory fragmentation across regions creates operational complexity for businesses operating internationally. In ASEAN especially, varying levels of digital readiness and AI policy maturity continue to present challenges for harmonisation.
The Growing Importance of Accountability
A recurring theme throughout the session was accountability.
As AI systems increasingly support or automate decision-making processes, organisations must establish clear lines of responsibility for how these systems are deployed and monitored. Panelists discussed the need for human oversight, particularly in high-risk environments where AI outputs may directly impact people, businesses, or public institutions.
The panel also explored the operational realities many organisations face, including outdated infrastructure, legacy systems, and governance processes that were not designed for AI-driven environments.
Rather than relying solely on static policies or compliance documentation, speakers stressed the importance of continuous monitoring and dynamic governance processes that evolve alongside AI systems.
ASEAN’s Role in Responsible AI Governance
The conversation placed strong emphasis on ASEAN’s emerging leadership role in responsible AI governance.
Panelists referenced regional frameworks such as the ASEAN Guide on AI Governance and Ethics, and which promotes principles including transparency, human-centricity, fairness, and data privacy. The discussion underscored the importance of cross-border collaboration and regulatory cooperation to ensure the region remains competitive while safeguarding public trust.
The panel also addressed the need to support micro, small, and medium enterprises (MSMEs), which make up a significant portion of ASEAN’s economy. Ensuring that responsible AI practices remain accessible and practical for smaller organisations will be critical to inclusive digital growth.
Designing AI Systems Around Human Needs
Another key takeaway from the session was the importance of human-centric AI design.
Speakers cautioned against implementing AI systems that fail to account for human cognitive capabilities and workplace realities. Poorly designed automation can create confusion, reduce accountability, and ultimately undermine trust.
The discussion reinforced the idea that successful AI governance ensures that AI systems genuinely improve outcomes for people, organisations, and society.
Looking Ahead
As AI adoption accelerates globally, conversations like these are becoming increasingly important.
The ATxSG 2026 panel highlighted that responsible AI governance requires ongoing collaboration, adaptive regulation, operational accountability, and a shared commitment amongst stakeholders to ensuring AI technologies are deployed safely and equitably.
