Responsible & Ethical AI in Organisations
Overview
Responsible AI is about making sure systems are fair, transparent, safe and respectful of people's rights. This course turns ethical principles into practical decisions, helping professionals recognise ethical risks early, involve the right stakeholders and design AI uses that earn the trust of employees, customers and the public.
Who should attend
Managers, policy makers, HR, legal and compliance staff, and teams designing or buying AI solutions.
Training methodology
Facilitated discussion, practical frameworks, case studies from different sectors, group exercises, short demonstrations of AI tools, and an action plan for each participant's organisation.
Objectives
By the end of this course, participants will be able to:
- Explain core responsible AI principles
- Identify fairness, privacy and transparency risks
- Apply ethical review methods to real use cases
- Communicate AI use openly to affected people
- Embed responsible practices in daily work
Course outline
Day 1Principles of Responsible AI
- Fairness, accountability, transparency
- Safety and human oversight
- Cultural and regional perspectives
- Discussion of real incidents
- Values of your organisation
- Ethics versus legal compliance
Day 2Fairness and Bias
- Sources of bias
- Testing for unfair outcomes
- Mitigation approaches
- Case study: automated screening
- Inclusive design
- Exercise: fairness testing
Day 3Privacy and Transparency
- Personal data in AI systems
- Explainability for non-experts
- Informing users and customers
- Consent and choice
- Right to explanation and appeal
- Synthetic media and deepfakes
Day 4Ethical Review in Practice
- Ethics review checklists
- Stakeholder consultation
- Weighing benefits against harms
- Review workshop
- Environmental impact of AI
- Documenting ethical decisions
Day 5Building a Responsible Culture
- Codes of conduct for AI use
- Training and awareness
- Escalation and speaking up
- Personal commitments
- Responsible AI champions
- Measuring trust
