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AI governance

7 stories across the archive

Monday, 3 August 2026

Emerging risks & trendsmediumUpdate

[UPDATE] EU AI Act's transparency rules and AI-fining powers go live; bank credit and AML rules stay delayed to Dec 2027

AI governance · Took effect 2 Aug 2026; high-risk bank rules now confirmed for 2 Dec 2027

As of 2 August, the EU AI Act's general transparency obligations — chatbot disclosure, deepfake labelling, AI-content marking — took effect as originally scheduled, and the European Commission's power to fine general-purpose-AI providers (up to 3% of global turnover or €15m) activated. This confirms in practice what May's Digital Omnibus agreed: the heavier high-risk regime covering bank credit-scoring and AML systems does not bite until 2 December 2027.

Why it matters — Banks operating or planning AI-driven credit and AML systems with EU exposure get more runway than originally drafted — but general disclosure and deepfake-labelling obligations, and GPAI enforcement risk, are live today, not in 16 months.

Source: GamingTechLaw

Sunday, 26 July 2026

Emerging risks & trendsmedium

Model governance named the top barrier to scaling bank AI, new index finds

AI governance

Wolters Kluwer's H1 2026 AI Risk and Governance Index finds more than a third of financial institutions cite model governance and validation — not technology or budget — as the primary barrier to scaling AI, alongside model drift, synthetic-data integrity and vendor dependency as the risks now defining AI at scale.

Why it matters — This lands squarely on the gap flagged locally: the FMA has already named AI governance in financial advice a 2026/27 priority, and this data suggests the binding constraint on every bank's AI roadmap is governance capacity, not appetite.

Source: Wolters Kluwer

Tuesday, 21 July 2026

Emerging risks & trendshigh

EU delays AI Act 'high-risk' rules for bank credit and AML systems by 16 months

AI governance · Provisional deal reached 7 May 2026; formal adoption expected before 2 Aug 2026

EU negotiators have provisionally agreed, via the Digital Omnibus, to push back the AI Act's high-risk compliance deadline for standalone systems — including bank credit-scoring, AML and underwriting models — from 2 August 2026 to 2 December 2027, with product-embedded high-risk systems deferred further to 2 August 2028. Formal publication in the Official Journal is expected before the original deadline lapses.

Why it matters — Banks and fintechs building EU-facing AI credit and compliance tools get significant runway relief, but the shifting timeline complicates global model-governance roadmaps and raises the risk that groups with EU operations miscalibrate compliance sequencing against other regimes moving in parallel (US Treasury FS AI RMF, RBI's draft kill-switch rules, FSB sound practices).

Source: Gibson Dunn · Pinsent Masons

Thursday, 16 July 2026

Emerging risks & trendsmedium

Philippines central bank issues voluntary 'STARS' AI governance principles for banks

AI governance · Memo dated 24 Jun 2026, reported 15 Jul 2026

Bangko Sentral ng Pilipinas has issued non-binding governance principles, branded STARS (sustainability, transparency, accountability, responsibility, security), requiring supervised banks and their outsourced AI vendors to keep a centralised AI system inventory and disclose when AI influences a financial decision.

Why it matters — Adds another Asia-Pacific regulator to the fast-growing patchwork of AI governance regimes banks must reconcile, alongside RBI's kill-switch mandate, MAS's SAFR framework and the FSB's forthcoming global standard.

Source: Newsbytes.ph · Philippine Daily Inquirer

Monday, 13 July 2026

AI & automation — banking, payments & beyondhigh

FMA flags AI governance in financial advice as a 2026/27 regulatory priority

AI governance · Financial Conduct Report published 30 June 2026

New Zealand's Financial Markets Authority named AI use in financial advice, credit underwriting and pricing a core focus in its second annual Financial Conduct Report, telling firms AI outputs must be reliable, explainable and open to challenge while sensitive data stays protected.

Why it matters — Signals the FMA will actively scrutinise how NZ banks and advisers deploy AI-supported advice and lending tools, raising the governance bar just as institutions accelerate rollout.

Source: Dentons New Zealand · Lexology

Friday, 10 July 2026

Regulatory — NZ horizon & global signalshighUpdate

[UPDATE] FSB to finalise AI 'sound practices' standard this year, scaled by bank size

AI governance · Finalisation timeline confirmed 7 Jul 2026

Fed Vice Chair Michelle Bowman, who chairs the FSB's supervisory-cooperation committee, confirmed the FSB's consultation on sound practices for AI in finance will be finalised later this year as a G20 deliverable, with standards proportional to a bank's size and risk profile rather than one-size-fits-all.

Why it matters — Gives RBNZ and FMA a firm timeline and a proportionality principle to anchor any future local AI-governance expectations, rather than an open-ended consultation.

Source: Federal Reserve · American Banker

Tuesday, 7 July 2026

Emerging risks & trendshigh

Financial Stability Board opens consultation on 12 sound practices for AI adoption in finance

AI governance · Published 10 June 2026; consultation closes 22 July 2026, final report due October 2026

The FSB published a consultation report proposing 12 sound practices spanning board-level AI governance, lifecycle risk management, and AI-related cyber/third-party risk, explicitly addressing generative and agentic AI.

Why it matters — Gives a global standard-setter benchmark that national regulators, including New Zealand's, are likely to reference when firming up local AI governance expectations, ahead of a hard October 2026 finalisation deadline.

Source: Financial Stability Board