AI in the Workplace: Opportunities, Ethics, and Best Practices

Who should attend

This course is aimed at Policy Officers, Legal Advisers, Campaigners, Communications teams, Scientists and business decision makers.

Prerequisites

No experience of working with AI, Chatbots, or other IT systems is assumed. We encourage you to bring an open mind and plenty of your own questions to the session.

Live, instructor-led online and on-site training

This AI training course is available for private / custom delivery for your team - face-to-face, on-site at your location of choice, or remotely via MS Teams or your own platform - get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.

1. Introduction to AI

• What is AI? – Definitions and key concepts (Machine Learning, Deep Learning, Generative AI)
• Types of AI – Narrow AI vs. General AI and examples in daily life
• Current AI Trends in the Workplace – How AI is being used across industries

2. AI in the Context of Your Work

• Applications relevant to policy, law, communications, and science
• AI for research and data analysis (e.g., literature reviews, environmental modelling)
• AI in policy decision-making (e.g., predictive analytics, risk assessments)
• AI in public engagement and communication (e.g., chatbots, content summarisation)
• Limitations and risks of AI in your specific context
• Discussion: Where do you see AI fitting (or not) into your work?

3. Ethical Considerations of AI in the Workplace

• AI Bias and Fairness – How AI can reinforce biases and how to balance against this?
• Transparency and Accountability – Who is responsible for AI-driven decisions?
• When Should AI Be Used? – Decision framework for responsible AI adoption
• Privacy and Data Protection – Legal and ethical considerations (GDPR, confidentiality)
• Interactive Scenario:
• Review and discuss a real-world AI ethical dilemma relevant to your work

4. Practical AI Governance and Best Practices

• Regulatory Landscape & Policies – Overview of AI-related laws and guidelines
• AI Governance in Organisations – Developing internal AI policies and ethical guidelines
• The Human-in-the-Loop Approach – Balancing AI automation with human oversight
• AI and Sustainability – Considerations for environmental impact and responsible AI use

5. Wrap-Up & Open Discussion

• Key Takeaways – Summary of key learnings
• Q&A & Discussion – exploring your own concerns and challenges
• Next Steps & Resources – Further reading, AI tools to explore, internal discussions