Understand AI ethics, bias, data privacy and governance and use AI responsibly and confidently in your professional role
1 day course 10am - 5pm Live Online or Classroom-based
What you will learn
- Understanding why AI ethics and responsible use matter, giving you a clear framework for professional AI decision-making.
- How to recognise bias in AI systems, identifying risks in recruitment, content and data-driven decisions before they cause harm.
- Applying GDPR principles to AI tool use, ensuring personal and commercially sensitive data is handled securely and lawfully.
- How to approach transparency in AI-generated content, understanding disclosure obligations and the professional risks of hallucination.
- Understanding intellectual property rights in AI-generated outputs, protecting your organisation from copyright and licensing risks.
- Applying human oversight principles to high-risk AI decisions, maintaining clear accountability and escalation processes within your organisation.
- How to navigate major AI governance frameworks, applying the EU AI Act and ISO 42001 to build effective organisational policy.
- Building a responsible AI approach for your team, creating practical guidelines that embed ethical principles into everyday workflows.
Related Courses
This AI Ethics, Responsible AI and Governance course includes
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Authorised Certificate
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Lifetime support after your course
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Course materials
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Live Instructor-led training
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Refreshments all day
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Latest Mac or PC ready to go
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Authorised Trainers
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Hands-on exercises
Book this course
We offer AI Ethics, Responsible AI and Governance as a private course.
You can select a date which suits you or your team.
The course content can be fully customised to your exact learning requirements.
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Course Outline for AI Ethics, Responsible AI and Governance
Understanding AI and Why Responsible Use Matters
- Reviewing how AI tools work at a practical level: what they can and cannot do and why outputs vary
- Understanding the difference between narrow AI, generative AI and emerging AI systems in a professional context
- Recognising why AI ethics and governance have become business-critical concerns for organisations of all sizes
- Exploring real-world examples of AI failures, unintended consequences and reputational harm caused by unethical AI use
- Establishing a shared vocabulary for responsible AI: fairness, transparency, accountability, privacy and human oversight
Understanding Bias in AI and How to Recognise It
- Understanding how bias enters AI systems through training data, model design and human decision-making
- Recognising the different types of bias relevant to professional contexts: historical, representation, measurement and feedback bias
- Exploring documented examples of AI bias in recruitment, lending, healthcare and content moderation
- Understanding the difference between intentional and unintentional bias and why the latter is often harder to detect
- Developing practical strategies for identifying and reducing bias in AI-generated outputs used in professional workflows
Data Privacy and Security When Using AI
- Understanding what happens to data when it is entered into AI tools: storage, training use and third-party access
- Reviewing the data privacy implications of using consumer AI tools such as ChatGPT, Claude and Gemini with business information
- Understanding GDPR obligations and how they apply to the use of AI in processing personal data
- Identifying which types of information should never be entered into a public AI tool: personal data, client data and commercially sensitive content
- Reviewing best practice for using AI tools securely within an organisational context, including enterprise-tier AI products
Transparency and Honesty in AI-Generated Content
- Understanding the obligation to be transparent about AI involvement in content, decisions and communications
- Reviewing emerging sector guidelines and regulatory expectations around disclosure of AI-generated material
- Exploring the risks of passing off AI-generated content as entirely human-produced in professional and public-facing contexts
- Understanding hallucination: why AI tools sometimes produce plausible but factually incorrect outputs
- Developing a personal and organisational approach to reviewing, verifying and responsibly attributing AI-generated content
AI and Intellectual Property
- Understanding the intellectual property landscape as it applies to AI-generated text, images, code and other content
- Reviewing the current legal position on copyright ownership of AI-generated outputs in the UK and internationally
- Understanding the risks of AI tools reproducing copyrighted material and how to mitigate them in professional workflows
- Exploring the implications of using proprietary data, brand assets or third-party content as inputs to AI tools
- Keeping up to date with rapidly evolving AI and intellectual property legislation and guidance
Human Oversight and Accountability in AI Use
- Understanding why human oversight is essential when AI is used to inform or automate consequential decisions
- Exploring the concept of meaningful human control: what it means in practice and how to maintain it
- Reviewing high-risk AI use cases where automated decision-making requires particular caution: hiring, credit, health and legal contexts
- Understanding who is accountable when AI-generated content or decisions cause harm within an organisation
- Developing clear internal processes for escalation, review and sign-off when AI is used in sensitive or high-stakes situations
AI Governance Frameworks and Organisational Policy
- Reviewing major AI governance frameworks including the EU AI Act, the UK AI regulatory approach and ISO 42001
- Understanding how organisations are developing internal AI policies, acceptable use guidelines and governance structures
- Exploring the key components of an effective organisational AI policy: scope, permitted tools, prohibited uses and review processes
- Understanding the role of AI risk assessment in identifying and managing the ethical risks of new AI implementations
- Reviewing practical examples of AI governance in action across different sectors: financial services, healthcare, media and public bodies
Building a Responsible Approach to AI in Your Organisation
- Identifying the most significant AI ethics risks relevant to your own professional role and industry sector
- Developing practical guidelines for responsible AI use within your team or organisation
- Understanding how to evaluate a new AI tool for ethical risk before adopting it in a professional workflow
- Staying informed about AI ethics developments: key organisations, publications and regulatory bodies to follow
- Creating a personal action plan for embedding responsible AI principles into everyday professional practice
FAQs about the AI Ethics, Responsible AI and Governance course
Is this AI Ethics, Responsible AI and Governance course suitable for me?
This course is designed for people who are new to considering AI ethics or who have never had formal learning in the subject. If you are have any questions about whether the course could meet your needs, please speak to our customer service team, who will be delighted to advise you.
How is the content taught throughout the AI Ethics, Responsible AI and Governance course?
Our AI Ethics, Responsible AI and Governance course is extremely interactive. You will be covering AI governance and ethical issues throughout the day, working through examples and live projects under the guidance of our trainer, who will be inviting questions and supporting you through each step.
How many people are likely to be in the class when I attend the AI Ethics, Responsible AI and Governance course?
For private classes in AI Ethics, Responsible AI and Governance, we recommend a maximum of 8 to 10 people from the same company in the class. Please ask our customer service team to help you find the right balance of people per class and the number of days training you need.
Should I attend the AI Ethics, Responsible AI and Governance course in person or live online?
For in-person courses at our London training centre, you will receive a warm personal welcome, your choice of the latest Mac or PC and morning and afternoon refreshments. If you prefer to attend remotely, rest assured that you will be taught live by the same experts that deliver our in-person courses, covering the same training content, using the same exercises and materials. A second monitor is recommended but not essential.
What support is available after I attend the AI Ethics, Responsible AI and Governance course?
We offer ongoing support to our AI Ethics, Responsible AI and Governance course attendees through email and by arrangement, phone calls. You are welcome to ask any questions on topics covered during training. Our trainer will always do their best to explain principles and help you with any issues you encounter.
Will I receive a certificate upon completion of my AI Ethics, Responsible AI and Governance course?
Yes, you'll receive a certificate of completion from Transmedia, demonstrating your knowledge and attendance on our AI Ethics, Responsible AI and Governance course. Our certificates note our Authorised Training Centre status.
AI Ethics, Responsible AI and Governance — Team and Bespoke Training
Booking a private training session allows you to focus on your exact needs on dates that work best for you or your team.
- Sessions can be run online or in person, on your site or at our London training centre.
- We manage training for many of the UK’s largest companies, taking care of all the admin, working with you to ensure the perfect course.
- Our expert trainers will first understand your requirements and then tailor each session to your exact specification.
- We offer a free consultation service to work out every detail of your course.
Prices for bespoke sessions with our expert trainers start at £595 + VAT, depending on the course and number of people.
Costs include all preparation time to customise the course to your exact requirements.
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