
Explore the pillars of responsible AI—fairness, transparency, accountability, privacy, and safety—and learn to spot bias, assess AI outputs, protect data and IP, and raise governance concerns.
Assign accountability across developers, deploying organizations, managers, and end users when AI makes harmful decisions. Guard privacy and safety by understanding data use and maintaining human oversight.
Spot bias in AI tools at work by watching for patterns in outcomes, homogeneous outputs, and stereotypes. Document observations and escalate through proper channels, pausing use until reviewed.
question AI outputs as a professional responsibility, not skepticism; assess consequences, task suitability, and known limitations like hallucinations, bias, and outdated data.
Learn how personal data extends beyond names and emails to location data, IP addresses, biometric data, and inferences, and how consent, data minimization, and need-to-know protect individuals in AI.
Raise AI concerns through the right channels, with specific observations, and rely on whistleblower protections and AI governance committees to oversee policy and accountability.
This course contains the use of artificial intelligence.
AI is transforming how we work — but are we using it responsibly? From biased hiring algorithms to privacy violations and opaque decision-making, the risks of unchecked AI use are real and growing. This course gives you a practical, jargon-free foundation in ethical AI — so you can use AI tools confidently, fairly, and in line with your organisation's expectations.
Whether you work in HR, legal, compliance, operations, finance, marketing, or any other function, this course explains AI ethics in plain language and connects every concept to situations you're likely to encounter on the job.
What This Course Covers
What AI is, how it works, and how it's already influencing decisions in your workplace and daily life
The core pillars of responsible AI — fairness, transparency, accountability, privacy, and safety
How to identify and respond to AI bias in tools used for hiring, healthcare, financial services, and more
Global AI frameworks including the EU AI Act and NIST AI RMF — and what they mean for your role
How to apply your organisation's AI use policies and avoid the consequences of non-compliance
The "black box" problem — why AI decisions are hard to explain and when human review is essential
Do's and don'ts of using AI tools at work, including how to avoid automation bias and over-reliance
What data you should never enter into consumer AI tools — and how to protect sensitive information
Intellectual property and copyright risks when using generative AI outputs
Privacy by design, data minimisation, and how to report privacy incidents involving AI
Who Will Benefit
Employees and managers in any industry beginning to use AI tools in their daily work
HR, legal, compliance, and operations professionals managing AI-related risk and policy
Business leaders who need a non-technical but informed perspective on responsible AI governance
No technical background is required. This course is built for professionals across all functions and seniority levels — not just IT or data teams.
By the end of this course, you will have a clear understanding of your responsibilities when using AI, the ability to spot and flag ethical risks, and the confidence to contribute to a responsible AI culture in your organisation — wherever your role sits.