Some courses treat ethics as a closing slide about being responsible. For a leader, that is the wrong weight entirely - governance is where your personal accountability sits.
What a serious course covers
- Data protection and lawful basis - what you may put into a third-party model, and where it is processed.
- Bias and fairness - how it enters through training data, and how it is tested for.
- Transparency - telling customers and staff when AI is involved.
- Human oversight - which decisions must keep a person in the loop.
- Accountability - who is answerable when the system is wrong.
- Vendor due diligence - the questions to ask before you sign.
If a syllabus has none of these, it is a tools course with an ethics sticker.
Why this is not the compliance team's problem
Governance decisions are made at the point of purchase and deployment, usually by a business leader under delivery pressure, long before legal sees anything. By the time it reaches compliance, the data has already moved. See the AI ethics every business leader should know.
The practical output to expect
You should leave able to write a short AI use policy for your team, run a risk assessment on a proposed use case, and interrogate a vendor's data handling. Not to recite principles.
Where LSBUK covers it
Governance runs through Leading AI Innovation & Organisational Transformation rather than sitting in one module. For depth, AI Risk Management & Security and Data Strategy, Governance & Ethics for AI Professionals go considerably further.
The bottom line
Yes, a good leadership course teaches it - and you should check the syllabus for the six items above rather than assuming. Related: the biggest risks of using AI in business and protecting customer data when using AI.