Key details

Companies and organisations that utilise AI in their day-to-day processes have an obligation to ensure its use does not go unquestioned. Your use of AI must be ethical, fair, legal and accurate.

This course teaches core principles to ensure your use of AI in the workplace meets these responsibilities. You’ll learn techniques for:

• Identifying risks relating to unethical use of AI, and recognising bias and unfairness.
• Implementing ethical safeguards and establishing frameworks ensuring your use of AI applications are within legal and ethical bounds.
• Navigating accountability questions.

Sessions include:

• Foundations of AI ethics
• Understanding AI bias
• Fairness frameworks
• Transparency and explainability
• Privacy and data protection
• Consent and autonomy
• Accountability and responsibility
• Ethical decision-making frameworks
• Implementation and governance
• Emerging challenges
• Stakeholder perspectives
• Building your ethical AI toolkit.

Ethical AI training is arranged on-request, i.e. one-to-one training or a ‘closed course’ for your group. Your training can be tailored to take into account any existing knowledge you have, and the work you’re going to be doing.

In-class or online

This course is available in-class at eight centres or live online.

Expert trainers

Copilot courses are hosted by AI experts. See Expert trainers.

How will I learn?

Training combines lecture, demonstration and hands-on practice.

Practical exercises provide activity-based experience. These exercises can be tailored to deal with issues specific to your business. You have ample opportunity to discuss specific requirements with the trainer.

Applications used

This course is hands-on and practical, and so you’ll need access to one of the following:

• ChatGPT Plus.
• Copilot Premium.

Training guide and certificate

Course delegates receive:

• A practical training guide, to refer to during the course and use as a refresher after. Choose from a printed guide or PDF.
• An e-certificate confirming successful completion of a Ethical AI training course.

After course support

Following AI training, delegates are entitled to 30 days’ email support from their trainer to help with any post-course issues. For further details, see Support.

General information

Payment

Payment for Ethical AI training can be made by:

• Bank transfer. Please call 01527 834783 for our bank details.
• Card. Visa, Mastercard and American Express cards accepted. Payment can be made securely online or over the phone. Armada doesn’t record or store your card details.
• Buy now pay later. Available for private bookings; pay in 4 x interest-free fortnightly instalments. Facility provided by Clearpay. For details, see Clearpay terms of service.

Purchase orders

We accept purchase orders from UK registered companies with turnover in excess of £1m, and public sector organisations

Accommodation

See Accommodation local to our training centres.

Cancellations and postponements

If an on-request Ethical AI course booking is cancelled giving less than 20 working days’ notice, a cancellation fee is payable. View cancellation terms.

If an on-request Ethical AI course booking is postponed giving less than 20 working days’ notice, a postponement fee is payable. View postponement terms.

Terms and conditions

Expert trainers

Simon Dry

Simon is a highly-experienced design professional and AI expert, whose previous roles have included Designer, Project Manager and Creative Director. He has expert knowledge of a range of applications, including Adobe InDesign, Illustrator and Photoshop, hosting courses in these applications at all levels. Simon continues to work as a graphic designer, working on a variety of projects for Blue-Chip clients in areas including press and digital ads, photography, website design, social media.

Course content

Foundations of AI ethics

• What is AI ethics and why it matters now
• Core ethical principles for AI
• Regulatory landscape (EU AI Act, UK frameworks)
• Real-world case studies of ethical failures

Understanding AI bias

• Sources of algorithmic bias (training data, selection, historical)
• How bias amplifies through AI systems
• Protected characteristics and discrimination law
• Mitigation strategies and best practices

Fairness frameworks

• Different definitions of fairness
• Individual vs group fairness
• Demographic parity, equal opportunity, predictive parity
• Trade-offs between fairness metrics
• Choosing appropriate criteria for your context

Transparency and explainability

• The ‘black box’ problem
• Levels of transparency required
• Explainability techniques – LIME and SHAP
• Legal and ethical requirements for explanation
• Trade-offs: accuracy vs interpretability

Privacy and data protection

• GDPR and UK data protection fundamentals
• Lawful basis for processing and data minimisation
• Privacy by design principles
• AI-specific risks (re-identification, inference attacks)
• Individual rights (access, rectification, erasure)

Consent and autonomy

• Meaningful consent in AI contexts
• Dark patterns and manipulative design
• Automated decision-making rights (GDPR Article 22)
• Designing for informed choice
• Protecting vulnerable populations

Accountability and responsibility

• Stakeholder responsibilities
• Documentation and audit trails
• Human oversight requirements
• Liability and insurance considerations
• Creating effective oversight mechanisms

Ethical decision-making frameworks

• IEEE Ethically Aligned Design
• EU Ethics Guidelines for Trustworthy AI
• UK Government’s AI ethics framework
• Practical application steps
• Case study analysis and peer review

Implementation and governance

• Building an ethical AI culture
• Establishing governance structures (ethics committees, review boards, etc)
• Creating policies and procedures
• Red flags: when to pause or stop
• Continuous monitoring and evaluation

Emerging challenges

• Generative AI and misinformation
• Deepfakes and synthetic media
• AI environmental impact
• Employment displacement and worker rights
• Medical AI and clinical decision support

Stakeholder perspectives

• Understanding different viewpoints
• Balancing competing interests
• Meaningful stakeholder engagement
• Negotiating ethical requirements

Building your ethical AI toolkit

• Checklists and templates
• Impact assessment forms
• Documentation standards
• Bias detection and explainability tools
• Privacy-preserving techniques
• Resources for continued learning

Live online training

Live online training lets you participate in a course from your place of work or home.

We do everything possible to make your online training experience as close as possible to actually being in the classroom. You can:

• See and hear our trainer, and the other delegates participating in the course…
  
• Interact by speaking, using chat, or raising your ‘virtual hand’ if you need assistance.
• Share your screen with our trainer, and allow them to take control to explain something.

Like our in-class courses, online courses…

• Are presented by expert instructors.
• Give you plenty of opportunity to carry out assisted, practical exercises.
• Offer 30 days’ email support from your trainer.

All you need is an Internet-connected computer with a webcam and audio capability. We provide everything else…

• Links to download the files, resources, etc. you’ll use in your course.
• A training guide. For most courses, you can choose from a printed copy that we post to you, or a PDF.

In the week before your course, we’ll send you an email containing everything you need to prepare for and participate in the training. We’re available in the days ahead of your course to assist if you need any help.

Please note that we are not able to record scheduled online courses for privacy reasons.

When you attend live online training, you’re participating in a real course, hosted by a real trainer, in real time