About the course
This interactive short course provides a foundational understanding of Artificial Intelligence (AI) and its implications for various professional fields, including policy, law, communications, and science.
You will explore key AI concepts, real-world applications, and ethical considerations, equipping you with the knowledge to engage with AI responsibly in your workplace.
Online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the globe.
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- Define core Artificial Intelligence concepts, including Machine Learning, Deep Learning, and Generative AI, and distinguish between different types of AI.
- Recognise current AI trends and discuss their relevant applications within specific professional contexts (e.g., policy, law, communications, science).
- Evaluate the potential limitations, risks, and challenges associated with AI implementation in their own work environments.
- Identify and critically discuss key ethical considerations of AI, such as bias, fairness, transparency, accountability, privacy, and data protection.
- Understand fundamental frameworks for responsible AI adoption and best practice for developing internal AI policies and ethical guidelines.
- Discuss the importance of a 'Human-in-the-Loop' approach and consider AI's role in broader sustainability efforts.
- Formulate questions and identify resources for ongoing learning and discussion about AI's evolving role in their professional fields.
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This workshop is ideal for a broad audience of professionals across various sectors who wish to gain a foundational understanding of AI's impact on the workplace. It's particularly relevant for:
Professionals in Policy, Law, Communications, and Science seeking to understand AI's specific implications for their fields.
Managers and Team Leaders needing to comprehend AI's potential to transform workflows, teams, and decision-making processes.
Individuals new to AI who want a practical and ethical introduction to its opportunities and challenges in a professional context.
Decision-makers and strategists interested in the responsible adoption and governance of AI technologies within their organisations.
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No prior technical knowledge of Artificial Intelligence, programming, or advanced statistics is required.
An eagerness to learn and engage in discussions about the evolving role of AI in professional settings.
Basic computer literacy and familiarity with online collaboration tools.
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This AI training course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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This half-day interactive workshop covers essential AI concepts, ethical considerations, and practical best practice for responsible AI integration in the workplace.
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.
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?
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's 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.
Practical AI Governance and Best Practice
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.
Summary and Q&A
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.
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