Digital Innovation and Transformation

AI Ethics and Responsible AI Design

As AI influences decisions about people, organisations must ensure systems are fair, transparent, accountable and safe. This course explores ethical principles, sources of bias, explainability, privacy, human oversight, impact assessments and practical methods for designing and governing responsible AI.

5 days Classroom or live online English

Smart Horizon Certified - Global Leadership Consultants

Take the course details with you.

Download the full standard outline: why attend, methodology, objectives, audience, competencies, the daily outline and current plans.

Download course PDF

Why attend

From knowledge to real-world impact.

Irresponsible AI can harm individuals, damage reputation and breach regulation. This course gives you practical tools to build trust into AI systems.

Workplace challenges

Professional Problems This Course Is Designed to Solve

The programme explores practical approaches to the following challenges. Results depend on how the learning is applied in your organisation.

Difficulty translating subject knowledge into practical workplace decisions.
Inconsistent approaches to the activities covered in the course outline.
Lack of a structured plan for applying and reviewing new skills.

Course methodology

How you will learn.

The course uses case studies of AI failures, bias analysis exercises, impact assessment workshops and governance design.

Course objectives

What you'll take away.

By the end of this course, participants will be able to:

Explain key principles of responsible AI
Identify sources and types of bias in AI systems
Apply fairness, explainability and transparency methods
Conduct AI impact assessments
Design human oversight and accountability
Establish responsible AI governance

Target audience

Who should attend.

This course is suitable for:

AI and data professionals
Product managers
Risk, compliance and legal professionals
Ethics officers
Business leaders deploying AI

Target competencies

Capabilities you will build.

Participants will develop competencies in:

AI ethics
Bias detection
Explainability
Impact assessment
Human oversight
Responsible AI governance

Course outline

Your learning journey.

A focused, practical outline with time to explore, apply and reflect.

Day 1Responsible AI Principles

09:00–09:54Why AI ethics matters
09:54–10:48Principles and frameworks
10:48–11:00Stakeholders and harms
11:00–11:30Coffee break
11:30–12:12Stakeholders and harms (continued)
12:12–13:06Regulation overview
13:06–14:00Exercise: Analysing AI incidents

Day 2Bias and Fairness

09:00–09:54Sources of bias
09:54–10:48Fairness definitions
10:48–11:00Testing for bias
11:00–11:30Coffee break
11:30–12:12Testing for bias (continued)
12:12–13:06Mitigation techniques
13:06–14:00Lab: Bias analysis

Day 3Transparency and Explainability

09:00–09:54Explainability methods
09:54–10:48User communication
10:48–11:00Documentation and model cards
11:00–11:30Coffee break
11:30–12:12Documentation and model cards (continued)
12:12–13:06Limits of explanation
13:06–14:00Workshop: Transparency design

Day 4Privacy, Safety and Oversight

09:00–09:54Privacy-preserving approaches
09:54–10:48Safety and robustness
10:48–11:00Human-in-the-loop
11:00–11:30Coffee break
11:30–12:12Human-in-the-loop (continued)
12:12–13:06Accountability
13:06–14:00Case study: AI in recruitment

Day 5Governance

09:00–09:54Impact assessments
09:54–10:48Policies and review boards
10:48–11:00Monitoring
11:00–11:30Coffee break
11:30–12:12Monitoring (continued)
12:12–13:06Culture and training
13:06–14:00Capstone: Responsible AI framework

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Dates & venues

Find a session that works for you.

Confirmed dates accept registration requests. Tentative dates are enquiry only.

Good to know

A few things to know.

How is the course delivered?

Our classroom programmes combine facilitated discussion, case studies, exercises and reflection. The precise format will be confirmed before enrolment.

Can you deliver this programme for our team?

Yes, you can enquire about a tailored programme. Share your goals, group size and preferred dates with our learning team.

Will I receive a certificate?

Participants who complete the programme receive a Smart Horizon certificate of attendance. Smart Horizon programmes are not externally accredited and do not award a professional qualification, licence or designation. Where a course title or outline refers to a professional certification (for example, AACE International's Certified Cost Professional), the programme supports learning and preparation only; the credential itself is awarded solely by the relevant professional body under its own application and examination requirements.

What should I confirm before booking travel?

Please confirm the session, exact venue, accessibility arrangements, fees and any visa requirements with the team before arranging travel. Tentative dates are not confirmed sessions.

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