Ethical Prompt Fluency | Libra Sentinel - Data Privacy & AI Compliance

COURSE SUMMARY

MODULE 1: ETHICAL FRAMING FOR PROMPTING

We start by connecting prompting to governance, compliance, and accountability. In regulated or high-stakes environments, the goal is not just to get accurate outputs, it’s to produce responses that are defensible, auditable, and aligned with policy. Under frameworks like the EU AI Act’s Article 4, ISO/IEC AI Management, and the NIST AI RMF, ethical prompting is a recognised workplace skill that protects both organisational integrity and your own professional credibility.
Design prompts that do more than get the right answer, make them defensible, transparent, and regulator-ready.
This module reframes prompting through the lens of governance, compliance, and organizational accountability, showing how to work within ethical and regulatory boundaries without sacrificing performance.
You’ll identify high-risk zones in AI use, align your prompts with recognized governance frameworks, and embed transparency features that make outputs auditable and trustworthy.
The result: prompts that meet both your operational needs and your organization’s ethical and legal obligations.

MODULE 2: GUARDRAILS, GOVERNANCE & RISK

Master the guardrails that keep GPT use accurate, compliant, and audit-ready in high-stakes workflows.
We start with the deployment spectrum—company-hosted, enterprise, and public ChatGPT—so you understand exactly where the risks shift and where they don’t.
You’ll learn how to structure prompts for governance compliance, maintain secure audit trails, and control what happens to your data across different hosting models.
We cover memory and retrieval risks in both ChatGPT and enterprise RAG systems, as well as human-factor safeguards to prevent overtrust and keep AI within its legal and operational boundaries.
Finally, you’ll design a role-based AI use playbook tailored to your workflows, complete with sector-specific safeguards, quality gates, and escalation rules—ensuring safe adoption without losing efficiency gains.

MODULE 3: AI WORKFLOWS IN REGULATED ROLES

Discover how to integrate GPT into the workflows that keep regulated and operationally critical teams running.
This module maps exactly where GPT adds value in legal, compliance, HR, audit, and client-service processes—supporting your expertise, not replacing it.
You’ll learn how to draft compliant external communications, translate complex policies for onboarding, and produce decision-ready summaries without losing context or accuracy.
We also cover liability checkpoints, scope control techniques, and review protocols so GPT becomes a reliable force multiplier under your governance.
The result: faster, sharper work that stands up to scrutiny from clients, regulators, and your own leadership.

MODULE 4: CHATGPT IN THE ENTERPRISE CONTEXT - TOOLS, INTEGRATIONS & RISK POINTS

This module uses ChatGPT, the most widely adopted public GPT as the reference point. The principles and governance considerations apply equally when evaluating enterprise/private GPT features, making this essential knowledge for both environments.
Even if your organisation is moving toward private or enterprise GPT deployments, understanding ChatGPT’s capabilities, limitations, and data handling is essential for professional fluency.
This module explores the most widely used public GPT through an enterprise lens, from its built-in tools and file uploads to Custom GPTs, integrations, and Agent Mode.
For each feature, you’ll see its governance implications, common risk points, and enterprise-grade equivalents.
You’ll learn how to evaluate GPTs in the public library, decide when to connect external platforms, and apply a risk–benefit lens before enabling advanced features.
By the end, you’ll know how to use ChatGPT safely in regulated workflows — and how to translate those lessons into secure enterprise environments.

Module 5: GPT-5 OVERSIGHT & SAFETY PATTERNS

New GPT-5 capabilities give you more control over autonomy, transparency, and ethical safeguards in AI workflows.
In this feature, you’ll learn how to set safe limits on the model’s initiative, use tool preambles for auditability, and write prompts that enforce refusals when information isn’t in the approved context.
We also cover prompt hygiene for sensitive outputs, helping you reduce bias, avoid hallucinations, and keep every AI action accountable.