Contribute an Educator Resource

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.