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C1: Identifies where AI operates in daily life and understands its basic functions and limits. C2: Engages with AI-driven tools and services thoughtfully, understanding both benefits and risks. C3: Understands user rights, choices and complaint routes when AI affects access, pricing, or critical services and opportunities. C4: Understands how personal data is collected, processed, and used to train and personalise AI systems. C5: Takes active steps to protect personal data and manage privacy across AI enabled platforms. C6: Shares only what is necessary, understands consent choices, and reviews permissions regularly. C7: Demonstrates awareness of AI-generated material and understands its implications for information integrity. C8: Critically assesses the reliability and fairness of AI-generated outputs before accepting or sharing them. C9: Demonstrates awareness of the risks of sharing AI-generated content by pausing, checking context, and adding sources when appropriate. C10: Detects and avoids harmful or deceptive uses of AI, including fraud, manipulation, or misinformation. C11: Recognises and responds to instances of unfairness, exclusion, or bias in AI systems and promotes equitable practices. C12: Knows where and how to report AI-related scams, abuse, or unfair outcomes and helps others do the same. C13: Contributes to conversations about AI with respect and evidence. C14: Contributes to AI related discussions by actively listening, sharing perspectives and respecting diverse experience. C15: Makes space for different experiences and needs so public conversations about AI are fair and inclusive. C16: Comply with data protection policies and safeguard sensitive information when using AI systems. C17: Use AI-powered platforms confidently and effectively in everyday work. C18: Explore and experiment with AI tools responsibly, ensuring alignment with organisational policies. C19: Demonstrate and promote ethical awareness in everyday AI use by respecting privacy, questioning outputs, and encouraging responsible practices among colleagues. C20: Use AI safely and inclusively in collaborative settings, promoting transparency and equitable participation, with awareness of potential bias and accessibility limitations. C21: Be transparent about the role of AI in producing work outputs. C22: Apply AI tooling into workflows responsibly, ensuring alignment with organisational policies and practices. C23: Interpret AI-driven outputs critically and apply professional judgement. C24: Adapt to the changing nature of work through ongoing engagement with AI tools. C25: Contribute to organisational learning about AI use. C26: Serve as a local advocate for the effective and ethical use of AI tools and practices within their team or department. C27: Provide first-line guidance and support to co-workers on appropriate AI use and troubleshooting common issues. C28: Encourage compliance with organisational AI policies and data governance standards, C29: Identify areas where AI can support efficiency, innovation, or service improvements, and share recommendations with leadership. C30: Encourage participation in AI training, sharing resources and best practice examples with colleagues. C31: Act as a liaison between frontline staff and senior leadership, feeding back on staff needs, adoption challenges, and success stories. C32: Keep up to date with developments in AI tools and organisational policy, ensuring colleagues are aware of relevant updates and guidance. C33: Demonstrate effective use of AI by modelling good practice of AI use in day-to-day tasks, showcasing practical and responsible applications that inspire peers. C34: Demonstrate ownership of personal development and engage in continuous learning activities. C35: Design and develop data-driven solutions and AI systems. C36: Test and monitor AI systems to assess performance and accuracy. C37: Ensure that AI systems are designed and developed in an ethical, safe and responsible way. C38: Project and change management through delivery of innovative projects. C39: Apply rigorous methodology to generate, validate and share knowledge that supports responsible AI practices. C40: Design and maintains data architectures, pipelines, and infrastructure that support reliable, secure, and scalable AI operations. C41: Evaluate human-AI collaboration and ensure AI systems are aligned with user needs. C42: Contribute to the design, development and deployment of AI systems in alignment with defined purpose, policy and ethical standards that include safety, robustness and reliability. C43: Uphold professional standards in data stewardship, model evaluation and stakeholder engagement. C44: Design AI architectures that align technical, ethical, and organisational objectives. C45: Effectively select, integrate, and contribute to open-source tools, frameworks, and libraries that support robust and reproducible AI system development. C46: Engage with open-source communities in ways that uphold ethical, secure, and inclusive practices, promoting responsible participation in the AI ecosystem. C47: Collect and prepare the required datasets in line with organisation standards, ensuring accuracy, compliance and readiness for AI project use. C48: Support the application of AI and related technologies in ways that uphold rights, promote trust and deliver value. C49: Collaborate effectively in multidisciplinary AI development teams. C50: Implement, customise, and optimise low-code and no-code solutions that address organisational challenges, improve workflows, and enhance efficiency. C51: Advocate for and ensure automation solutions are implemented responsibly, with fairness, transparency, and consideration for workforce wellbeing. C52: Develop and apply methods to ensure AI explainability and interpretability to ensure that AI systems are transparent, interpretable, and understandable to appropriate audiences. C53: Design and operate AI systems with due consideration for environmental and social sustainability. C54: Apply AI governance and risk management principles to ensure compliance and accountability. C55: Support the development of AI systems to proactively manage potential workforce impacts. C56: Support the responsible, ethical and safe adoption of AI. C57: Ensure responsible governance, security and stewardship of data across the AI lifecycle. C58: Support documentation and auditability of AI systems and tooling. C59: Deploy data-driven and AI solutions and integrate them with organisation's systems. C60: Maintain and continuously improve deployed AI systems. C61: Ensure the security, robustness, and resilience of AI systems. C62: Contribute to the ongoing evaluation and refinement of solutions to ensure they remain effective and responsible, and aligned with evolving contexts. C63: Performance management and continuous improvement. C64: Engage senior leadership, end-users and relevant stakeholders across all phases of the Data and AI Lifecycle to ensure systems and data-driven solutions are fit for purpose. C65: Support leadership and advocate for responsible introduction of artificial intelligence solutions. C66: Communicate effectively with a range of audiences, ensuring clarity, transparency, and timeliness in reporting progress on AI throughout the AI project lifecycle. C67: Design and develop data-driven and AI solutions that are intuitive and human-centred. C68: Collaborate across disciplines to identify risks, integrate diverse perspectives and support responsible innovation. C69: Research, critically evaluate, and apply emerging knowledge to AI automation developments, ensuring practice remains current, ethical, and forward-looking. C70: Evaluate emerging AI technologies and their potential societal impact. C71: Support learning, mentorship, and capacity building in responsible and ethical AI practice. C72: Engage with and/or develop governance processes that enable validation, oversight and escalation. C73: Evaluate and oversee external AI vendors and third-party tools to ensure technical fitness, compliance, and responsible operation. C74: Define and communicate a coherent AI strategy that aligns with organisational goals and values. C75: Balance innovation with practical delivery in AI adoption. C76: Sponsor governance frameworks that safeguard lawful, ethical and responsible AI use. C77: Embed ethical principles in AI decision-making and operations. C78: Select AI vendors and suppliers through fair and evidence-based evaluation. C79: Select technology platforms that meet organisational needs and mitigate long-term risks. C80: Plan and manage workforce transformation resulting from AI adoption. C81: Drive reskilling and learning to prepare staff for AI-enabled roles. C82: Manage AI risks within the organisation’s broader enterprise risk framework. C83: Ensure readiness for AI-related audits and incidents. C84: Create a culture that enables responsible innovation in AI. C85: Build trust and transparency in organisational AI use. C86: Act as a credible advocate for the organisation in AI policy and regulatory discussions. C87: Build trust with the public and external communities on AI use. C88: Monitor regulatory changes and prepare the organisation for compliance. C89: Oversee the embedding of regulatory readiness into business processes. C90: Supports peers and communities to understand and use AI responsibly through clear guidance and examples. C91: Shares AI knowledge and practices in ways that are understandable to colleagues of different backgrounds. C92: Helps others understand their data and consumer rights and encourages the use of service settings that prevent unnecessary sharing of user data or contribution of content to model training.

D1 (Citizen): Use AI-enabled services (e.g. online shopping recommendations, automated banking tools, healthcare chatbots) with awareness of their benefits and risks. D2 (Citizen): Manage personal data responsibly, including applying privacy settings and being selective about what information to share online. D3 (Citizen): Recognise when information may be AI-generated (e.g. images, news, or text) and know how to check for accuracy and reliability. D4 (Citizen): Identify potential harms, such as misinformation, bias, or scams, and takes steps to avoid or report them. D5 (Citizen): Engage critically in public debates about AI and its role in society. D6 (Worker): Engage with and adopt AI tools (e.g. office productivity, HR systems, finance platforms, customer service chatbots) to support day-to-day tasks. D7 (Worker): Apply professional judgement when interpreting AI outputs, ensuring decisions remain fair, accurate, and accountable by remaining compliant with regulatory and legal policies and practices D8 (Worker): Maintain awareness of the capabilities and limitations of the tools they use, including how outputs are generated, what data is involved and where human intervention is required. D9 (Worker): Safeguard sensitive or business-critical information when using AI systems, particularly when tools are external or not governed by organisational policies. D10 (Worker): Monitor how AI is changing their role, adapting to new responsibilities and highlighting opportunities for efficiency, or improvement. D11 (Worker): Raise concerns about potential job risks or ethical issues linked to AI use and contribute ideas for reskilling and upskilling. D27 (Worker): Engage in training and skill development to ensure they can use AI tools confidently and safely. D101 (Worker): Act as a trusted Change Champion by supporting colleagues to adopt AI responsibly, modelling good practice, escalating risks, and helping teams navigate the human and practical impacts of AI-enabled change. D12 (Professional): Contribute to the design, development, testing, or maintenance of AI systems to meet organisational or sector needs, ensuring they are technically robust, ethically sound, and aligned with intended outcomes. D13 (Professional): Ensure AI solutions comply with legal, regulatory, and ethical standards, including data protection and fairness requirements D27 (Worker): Engage in training and skill development to ensure they can use AI tools confidently and safely. D101 (Worker): Act as a trusted Change Champion by supporting colleagues to adopt AI responsibly, modelling good practice, escalating risks, and helping teams navigate the human and practical impacts of AI-enabled change. D12 (Professional): Contribute to the design, development, testing, or maintenance of AI systems to meet organisational or sector needs, ensuring they are technically robust, ethically sound, and aligned with intended outcomes. D13 (Professional): Ensure AI solutions comply with legal, regulatory, and ethical standards, including data protection and fairness requirements D14 (Professional): Produce clear documentation, audit trails, and model cards to enable transparency and accountability. D15 (Professional): Monitor system performance, identifying and resolving risks such as bias, security vulnerabilities, or degraded accuracy. D16 (Professional): Explain technical concepts and uncertainties to business process owners, including managers and regulators. D17 (Professional): Collaborate across disciplines to align AI solutions with business goals, user requirements, and contextually relevant societal considerations. D18 (Professional): Keep technical knowledge current and supports continuous learning for themselves and others. D100 (Professional): Support the responsible evaluation and ongoing oversight of external AI vendors and third-party tools. D19 (Leader): Set the organisation’s overall strategy for AI adoption and ensures it aligns with business objectives and values. D20 (Leader): Provide governance and oversight of AI use, ensuring compliance with laws, regulations, and ethical principles. D21 (Leader): Make procurement and investment decisions about AI tools, platforms, and external suppliers. D22 (Leader): Anticipate workforce impacts of AI and invest in upskilling, reskilling, and change management. D23 (Leader): Oversee risk management, ensuring organisational readiness for audits, assurance, and incident response. D24 (Leader): Promote a culture of responsible AI use, encouraging innovation within safe and transparent boundaries. D25 (Leader): Represent the organisation externally in discussions with regulators, partners, and the public on AI issues. D26 (Leader): Anticipate and drive the organisation's preparedness for future AI regulation. D28 (Citizen Advocate): Support others to recognise where AI is used in daily life and understand its benefits, risks, and limitations. D29 (Citizen Advocate): Promote responsible and informed use of AI-enabled tools within communities. D30 (Citizen Advocate): Help others recognise and respond to AI-generated misinformation, bias, or harm. D31 (Citizen Advocate): Build community confidence and inclusion in AI discussions and decision-making. D32 (Citizen Advocate): Connect communities with reliable information, learning opportunities, and support on AI. D33 (Citizen Advocate): Champion ethical awareness and responsible AI citizenship. D34 (Citizen Advocate): Continuously develop understanding of AI's societal effects and share learning with others.