This module provides a foundational understanding of generative artificial intelligence (AI), exploring its core concepts, underlying principles, and historical evolution. It is designed to equip students with comprehensive knowledge about the workings of generative AI tools and their applications across various industries. The module lays the groundwork for understanding more advanced aspects of generative AI in subsequent modules.

1. Analyse and explain the fundamental concepts, principles, and historical development of generative AI, demonstrating a clear understanding of its theoretical foundations.
2. Compare and distinguish key generative AI models including GANs, VAEs, and diffusion models evaluating their structures, functions, and appropriate use cases.
3. Analyse and interpret practical applications of generative AI across creative, business, and scientific sectors, demonstrating how these technologies generate value in real‑world contexts.
4. Evaluate the ethical and societal implications of generative AI, including issues of bias, misinformation, privacy, and responsible data practices.
5. Communicate generative AI concepts, findings, and applications clearly and effectively to both technical and non‑technical audiences using appropriate digital tools and media.
6. Investigate emerging trends, models, and tools in generative AI through self‑directed research, critically reflecting on their potential impact on work, society, and future technological development.

This module is designed to offer hands-on experience with various generative AI tools, enabling students to interact with and utilize these technologies effectively. The focus is on practical application, understanding tool functionalities, and developing content using generative AI. This module builds upon the foundational knowledge gained in the previous module and applies it in practical settings.

1. Operate and evaluate a range of generative AI tools, demonstrating proficiency in selecting and using appropriate platforms for individual content creation.
2. Apply generative AI effectively in individual projects, demonstrating the ability to implement these tools in real‑world or professional scenarios.
3. Analyse and critically evaluate AI‑generated content in terms of quality, relevance, accuracy, and effectiveness, demonstrating informed judgement and analytical skill.
4. Troubleshoot and optimise the use of generative AI tools by identifying common issues and applying problem‑solving strategies to enhance performance and outputs.
5. Produce creative and innovative AI‑generated outputs while critically reflecting on the ethical, legal, and societal implications of generative content.
6. Communicate insights from AI‑driven projects clearly and effectively to both technical and non‑technical audiences, demonstrating reflective practice and awareness of tool capabilities.

This module explores the legal and ethical considerations, societal implications, and future potential of generative AI technologies. It aims to provide students with a comprehensive understanding of the broader impacts of generative AI, beyond its technical capabilities. The module emphasizes critical thinking about the responsibilities and consequences of deploying generative AI in various sectors.

1. Critically evaluate key ethical theories, principles, and frameworks relevant to the development, deployment, and use of generative AI.
2. Analyse the societal, legal, and policy implications of generative AI, examining its influence on issues such as privacy, employment, intellectual property, and misinformation.
3. Interpret current trends to forecast potential future developments in generative AI, demonstrating insight into its evolving technological and societal trajectory.
4. Design and justify strategies for the responsible governance, implementation, and use of generative AI in professional, organisational, and creative contexts.
5. Communicate balanced, evidence‑based perspectives on the ethical, legal, and future implications of generative AI to diverse audiences using appropriate formats and media.
6. Critically reflect on the role and potential long‑term impact of generative AI across different sectors of society, evaluating both opportunities and challenges.