COURSE 09 · FOUNDATIONS

Cybersecurity, Data Privacy & Responsible AI

Recognise workplace AI risks and apply approved practices for information handling, verification and escalation.

15 lessons4 hours + risk-response challengeCertificate of completion
YOUR LEARNING PATH

15 lessons. A practical outcome.

Open a lesson to see what your team will learn.

01The Workplace AI Risk Map

Identify risks involving data, inaccurate outputs, cyber threats and inappropriate decisions. Match each risk to a realistic workplace activity and responsible owner.

02Approved Tools & Company Policies

Locate the organisation's tool list and acceptable-use rules. Practise checking approval, account configuration and permitted tasks before using a system.

03Classifying Information Before Sharing

Distinguish public, internal, confidential and sensitive information using company definitions. Decide what can be used, transformed or kept out of an AI workflow.

04Personal Data & Data Minimisation

Identify unnecessary personal details in sample inputs. Practise using the least information needed and routing unclear cases to the relevant company specialist.

05Retention, Access & Service Settings

Identify questions about storage, account access, reuse and deletion. Learn to request authoritative configuration information rather than assuming every tool handles data alike.

06Confidentiality & Intellectual Property

Recognise customer secrets, proprietary material and rights questions. Check permissions and approved sources before uploading or distributing content.

07Phishing, Impersonation & Deepfakes

Examine suspicious messages and simulated audio or video requests. Verify identity through established channels, especially before transferring funds or sharing information.

08Untrusted Documents & Prompt Injection

Spot embedded instructions that ask an assistant to reveal information or take actions. Apply approval boundaries and report suspicious content through the company's process.

09Checking High-Impact Outputs

Identify outputs whose errors could materially affect people or operations. Require appropriate evidence, specialist review and documented approval.

10Bias & Fairness in Practice

Inspect fictional outputs for stereotypes, exclusions and unjustified comparisons. Ask whose perspective is missing and how the result should be reviewed.

11Transparency & Accountability

Decide when AI assistance should be disclosed under company rules. Assign a human owner and keep enough evidence to explain the process and result.

12Human Oversight & Escalation

Define when to stop, ask a supervisor or consult security, privacy or another specialist. Practise resisting pressure to bypass controls for speed.

13Responding to an AI-Related Incident

Work through an accidental-upload or incorrect-output scenario. Follow the internal response route, record relevant facts and avoid further unauthorised disclosure.

14Build a Safe-Use Playbook

Create a concise checklist for approved tools, permitted inputs, verification, approval and incident reporting. Have the responsible company owners review it.

15Final Challenge: Handle Five Risk Scenarios

Respond to a suspected deepfake, confidential upload, unsupported claim, biased recommendation and malicious document. Explain the decision, safe next step and escalation route for each.

TAKE IT INTO WORK

Leave with something
you can use.

  • Role-specific safe-use checklist
  • risk register
  • escalation map
  • scenario response record

What the review looks for

Risk recognitionproportionate responsedata minimisationindependent verificationappropriate escalationclear responsibility

The final challenge brings the course together through practical work and review.

THE LEARNING JOURNEY

A path built around progress.

  1. 01

    Lesson

    Understand the concept.

  2. 02

    Exercise

    Practise with guidance.

  3. 03

    Task

    Apply it yourself.

  4. 04

    Review

    Reflect and improve.

RECOGNISE THEIR PROGRESS

Practical skills.
A certificate to show it.

Complete the assigned learning, submit the practical challenge and meet the agreed review requirements. Recognise that achievement with a certificate of completion.

Your programme brief confirms the requirements, reviewer and certificate delivery before you begin.

About certificates
AI Tutor.ILLUSTRATIVE CERTIFICATE

CERTIFICATE OF COMPLETION

Learning worth
recognising.

AI Literacy for Everyone

Learner name · Completion date · Course title
YOUR NEXT STEP

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