AI in the Workplace: Risk, Responsibility & Best Practice

AI in the Workplace: Risk, Responsibility & Best Practice is a UK-focused professional development course for non-technical staff in any sector, including employees, managers, HR, legal, compliance and operations. It runs to about 10 hours of guided study and is current as of October 2026.

It has ten modules in four phases:

1. Foundations: what AI is and where it sits in the workplace, the main risks, and the principles of responsible use.
2. People and data: data protection and privacy (including automated decision-making under the Data (Use and Access) Act 2025), and bias and discrimination under the Equality Act 2010.
3. Reliability and rights: accuracy and human responsibility, intellectual property and content, and employment, monitoring and worker rights.
4. Security and governance: security, confidentiality and supplier risk, and building a responsible AI workplace, including incident response.

Each module uses real cases, diagrams, worked “think it through” scenarios and a five-question knowledge check. Legal material is labelled by status (UK law, regulatory guidance, government policy, EU law and so on), so learners can tell what is binding from what is advice. It makes clear that the UK has no single comprehensive AI Act.

The course ends with a 40-question scenario-based final assessment with explanations for every answer option, pass mark 70%. Successful learners receive an AIGA Professional Development Certificate

 is a UK-focused professional development course for non-technical staff in any sector, including employees, managers, HR, legal, compliance and operations. It runs to about 10 hours of guided study and is current as of October 2026.

It has ten modules in four phases:

1. Foundations: what AI is and where it sits in the workplace, the main risks, and the principles of responsible use.
2. People and data: data protection and privacy (including automated decision-making under the Data (Use and Access) Act 2025), and bias and discrimination under the Equality Act 2010.
3. Reliability and rights: accuracy and human responsibility, intellectual property and content, and employment, monitoring and worker rights.
4. Security and governance: security, confidentiality and supplier risk, and building a responsible AI workplace, including incident response.

Each module uses real cases, diagrams, worked “think it through” scenarios and a five-question knowledge check. Legal material is labelled by status (UK law, regulatory guidance, government policy, EU law and so on), so learners can tell what is binding from what is advice. It makes clear that the UK has no single comprehensive AI Act.

The course ends with a 40-question scenario-based final assessment with explanations for every answer option, pass mark 70%. Successful learners receive an AIGA Professional Development Certificate