The Bangko Sentral ng Pilipinas (BSP) has fired the starting gun on responsible artificial intelligence in finance, not with a heavy-handed ban, but with a governance blueprint that places human accountability above algorithmic convenience. Through Memorandum No. M-2026-031, issued in June 2026, the central bank introduced “Governance Principles for Artificial Intelligence (AI) in Financial Services,” a guidance paper that sets minimum supervisory expectations for banks, e-wallet operators, and other supervised financial institutions. The framework is non-binding, but its influence is already rippling through boardrooms and compliance departments across Metro Manila.
The STARS Acronym and What It Demands
At the heart of the guidance sits the STARS framework: sustainability, transparency, accountability, responsibility, and security. These five principles are not abstract ideals. They translate into concrete obligations. Financial institutions are encouraged to disclose when AI output influences a product or decision, to keep humans “ultimately accountable” for AI-driven outcomes, and to ensure that training data is well-prepared and representative. The BSP explicitly warns that without clear safeguards, AI systems may perpetuate biases, leading to unfair practices and the exclusion of individuals from financial products and services.
Why Human Oversight Matters More Than Ever
The guidance arrives at a moment when AI is no longer a back-office experiment. A 2024 BSP survey found that 44% of responding financial institutions had already deployed at least one AI system, with fraud detection, electronic know-your-customer checks, credit scoring, and personalized recommendations among the most common uses. GCash and UnionBank have publicly acknowledged using AI to analyze transaction patterns, detect scams, and assist employees making account-related decisions. As these use cases expand, the risk of opaque decision-making grows. The BSP’s answer is not to slow innovation but to embed accountability at every stage of the AI lifecycle.
Proportionality: A Flexible Approach for Different Institutions
Crucially, the BSP recognizes that financial institutions are at different stages of AI maturity. Governance and risk management should be proportionate to the nature, scale, complexity, and materiality of an institution’s AI systems, as well as its overall operational complexity and risk profile. This means a large universal bank with sophisticated machine-learning models faces different expectations than a smaller rural bank testing a chatbot. The guidance is designed to be scalable, allowing institutions to develop AI governance frameworks that fit their specific risk exposure.
The Road Ahead for Philippine Banks
The voluntary nature of M-2026-031 does not diminish its significance. It signals that the BSP is watching, and that institutions that treat AI governance as an afterthought may find themselves at a competitive and regulatory disadvantage. Deputy Governor Lyn Javier framed the principles as a tool for innovation, not a constraint: “We want BSFIs to take advantage of AI, especially to serve their customers, and do so while being guided by developing global standards”. For Philippine banks, the message is clear: the age of unchecked algorithmic decision-making is over. The STARS framework is now the compass.
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