AI Governance & Compliance

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Bias, Fairness & the Duty of Non-Discrimination: Governing AI Equity in the Caribbean Enterprise

April 10, 2026by Dr Dawkins Brown

The Bias Problem Is Not a Technical Problem When discussions of AI bias arise in boardrooms, they are often quickly handed to technical teams with a mandate to ‘fix it’. This reflects a fundamental misunderstanding. AI bias is not primarily a technical problem — it is a governance problem that has technical manifestations. It...

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Auditing the Algorithm: What AI Assurance Looks Like in Practice

April 9, 2026by Dr Dawkins Brown

Beyond Traditional IT Audit Many Caribbean internal audit functions have responded to the AI governance imperative by extending their existing IT audit methodology to cover AI systems. While this is a reasonable starting point, it is insufficient. AI systems present audit challenges that traditional IT audit is not designed to address: statistical model behaviour, training...

AI & Automation AI and Cloud Integration AI Assurance & Auditing AI Assurance Auditors AI Governance & Compliance AI in Audit AI in Regulated Industries AI Risk & Governance AI Risk Management AI Standards & Certifications AI Strategy for Business Governance Governance & Assurance Governance & Compliance Governance & Disputes Governance Pillar Governance Risk & Compliance Governance Risk and Compliance GRC (Governance

AI Risk Classification: Governing by Consequence, Not by Technology

April 9, 2026by Dr Dawkins Brown

The Case for Risk-Proportionate Governance One of the most common governance errors Caribbean enterprises make when building AI oversight frameworks is applying uniform governance requirements across all AI systems regardless of their risk profile. This approach is simultaneously too burdensome for low-risk applications and dangerously inadequate for high-risk ones. It produces compliance theatre — the...

Algorithmic Accountability: Who Answers When AI Gets It Wrong?

April 9, 2026by Dr Dawkins Brown

The Accountability Vacuum When an AI-driven loan origination system denies credit to a qualified applicant due to a biased training dataset, who is responsible? When an AI recruitment screener systematically filters out candidates from a particular demographic, who is accountable? When an autonomous pricing algorithm produces outputs that harm consumers or distort a market, who...

AI & Automation AI and Cloud Integration AI Assurance & Auditing AI Assurance Auditors AI Governance & Compliance AI in Audit AI in Regulated Industries AI Risk & Governance AI Risk Management AI Standards & Certifications AI Strategy for Business Artificial Intelligence Artificial Intelligence (AI)Artificial Intelligence & Data Governance Audit & Assurance Insights

The AI Governance Stack: Principles, Policies, and Procedures for Caribbean Boards

April 9, 2026by Dr Dawkins Brown

Why Architecture Matters Many Caribbean enterprises have responded to AI governance pressure by publishing a values statement or appointing a digital ethics champion. These are useful signals of intent, but they are not governance. Governance requires architecture — a layered, interlocking set of principles, policies, procedures, roles, and controls that together create the institutional conditions...

AI & Automation AI and Cloud Integration AI Assurance & Auditing AI Assurance Auditors AI Governance & Compliance AI in Audit AI in Regulated Industries AI Risk & Governance AI Risk Management AI Standards & Certifications AI Strategy for Business Artificial Intelligence Artificial Intelligence (AI)Artificial Intelligence & Data Governance Audit & Assurance Business Intelligence (BI)

From Automation to Accountability: Why AI Governance Is the Boardroom’s Newest Imperative

April 9, 2026by Dr Dawkins Brown

The Governance Deficit at the Heart of Enterprise AI For much of the past decade, the dominant narrative around artificial intelligence in business has been one of possibility — what AI can automate, optimise, predict, and create. Boards across the Caribbean and beyond have enthusiastically greenlit AI initiatives, often without an equally disciplined conversation about...

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The Digital CFO: How Caribbean Finance Leaders Are Replacing Spreadsheets with Strategic Intelligence

March 7, 2026by Dr Dawkins Brown

The CFO Who Spent Seventy Per Cent of Her Time Looking Backward The CFO of a Caribbean conglomerate with operations in manufacturing, retail, and property management managed a finance team of fourteen people across three territories. She was experienced, technically competent, and trusted by the board. She was also exhausted — and she knew...

AI Assurance Auditors AI Governance & Compliance Artificial Intelligence (AI)Artificial Intelligence & Data Governance Cybersecurity Assurance ESG Assurance Non-Financial Reporting Sustainability

Assurance Beyond Financial Statements: ESG, Cybersecurity, and Non-Financial Reporting

March 6, 2026by Dr Dawkins Brown

The Request the Company Was Not Prepared For The investor relations manager of a Caribbean conglomerate listed on a regional stock exchange received an email from the portfolio manager of an institutional investor that held approximately six per cent of the company’s outstanding shares. The portfolio manager’s fund had recently adopted an enhanced due...

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The Transformation Playbook : A 12-Month Implementation Guide for IAVANTAGE™ Level 3

February 20, 2026by Dr Dawkins Brown

From Knowledge to Action Over the past ten articles, we have explored every dimension of Internal Audit transformation: the expectation gap and its causes, the maturity journey from compliance function to strategic partner, the seven pillars that define audit value, the business case that secures investment, the technology roadmap that enables capability, the leadership...

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Risk Discipline — Turning AI Ambition into Controlled Advantage (Dawgen TRUST™ Framework)

February 8, 2026by Dr Dawkins Brown

Executive Summary Most AI failures are not “model problems”—they are risk discipline failures: unclear risk appetite, weak controls, poor monitoring, and no escalation path when things go wrong. As organisations move from pilots to production (and from copilots to agents), leaders must treat AI risk like any other enterprise risk: identified, assessed, controlled, monitored, tested,...

Newer Posts

Older Posts

Bias, Fairness & the Duty of Non-Discrimination: Governing AI Equity in the Caribbean Enterprise

Auditing the Algorithm: What AI Assurance Looks Like in Practice

AI Risk Classification: Governing by Consequence, Not by Technology

Algorithmic Accountability: Who Answers When AI Gets It Wrong?

The AI Governance Stack: Principles, Policies, and Procedures for Caribbean Boards

From Automation to Accountability: Why AI Governance Is the Boardroom’s Newest Imperative

Assurance Beyond Financial Statements: ESG, Cybersecurity, and Non-Financial Reporting

The Transformation Playbook : A 12-Month Implementation Guide for IAVANTAGE™ Level 3

Risk Discipline — Turning AI Ambition into Controlled Advantage (Dawgen TRUST™ Framework)

June 29, 2026How Jamaica’s VASP Framework Compares to MiCA, the UK, Singapore and the Cayman Islands

June 29, 2026The FSC VASP Consultation Explained: Timeline, Instruments and What Happens Next

June 29, 2026From Registration to Licensing: Why the FSC Chose a Tougher Model

June 29, 2026What Is a Virtual Asset Service Provider Under Jamaican Law?

June 28, 2026Proof of Reserves Explained: The New Quarterly Audit for Jamaican Exchanges and Custodians

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