AI ethics and governance assessment
Phibon reviews AI use cases against their technical, legal, and data ethics implications, with a particular focus on the European regulatory landscape. Our work typically covers:
• Mapping the AI systems already in use across the organization, along with the data flows and governance practices behind them • Running risk assessments to surface legal, ethical, and operational issues before they become problems in production • Aligning systems with the EU AI Act and GDPR, including DPIAs, transparency obligations, and documentation duties • Translating findings into concrete recommendations that legal, technical, and business teams can actually act on
AI Ethics Policy and Corporate Communication
How an organization talks about AI internally and externally shapes whether its commitments are taken seriously. Phibon supports organizations through:
• Drafting internal AI policies that set clear expectations without slowing development down • Building communication materials that help staff turn abstract ethical principles into day-to-day decisions • Preparing external messaging for clients, partners, and regulators that holds up to scrutiny
Stakeholder Workshops on AI Ethical Principles
Our workshops are designed to move ethics out of policy documents and into the rooms where AI decisions are actually made. Each session is built to:
• Work through ethics principles that fit the organization’s specific context • Bring together legal, compliance, analytics, and technical teams so trade-offs are debated where they happen • Use the company’s own use cases to examine fairness, transparency, and the harder edge cases head-on
The aim is AI systems that hold up to both internal values and external regulatory scrutiny.