C1
Gap
Identifies where AI operates in daily life and understands its basic functions and limits.
No published educator resources currently tag this competency.
EPSRC AI Outreach Programme
AI Outreach PlatformCoverage Mapping
This view shows which AISfB competencies are currently covered by published educator resources.
Gap
Identifies where AI operates in daily life and understands its basic functions and limits.
No published educator resources currently tag this competency.
Gap
Engages with AI-driven tools and services thoughtfully, understanding both benefits and risks.
No published educator resources currently tag this competency.
Gap
Understands user rights, choices and complaint routes when AI affects access, pricing, or critical services and opportunities.
No published educator resources currently tag this competency.
Gap
Understands how personal data is collected, processed, and used to train and personalise AI systems.
No published educator resources currently tag this competency.
Gap
Takes active steps to protect personal data and manage privacy across AI enabled platforms.
No published educator resources currently tag this competency.
Gap
Shares only what is necessary, understands consent choices, and reviews permissions regularly.
No published educator resources currently tag this competency.
Gap
Demonstrates awareness of AI-generated material and understands its implications for information integrity.
No published educator resources currently tag this competency.
Gap
Critically assesses the reliability and fairness of AI-generated outputs before accepting or sharing them.
No published educator resources currently tag this competency.
Gap
Demonstrates awareness of the risks of sharing AI-generated content by pausing, checking context, and adding sources when appropriate.
No published educator resources currently tag this competency.
Gap
Detects and avoids harmful or deceptive uses of AI, including fraud, manipulation, or misinformation.
No published educator resources currently tag this competency.
Gap
Recognises and responds to instances of unfairness, exclusion, or bias in AI systems and promotes equitable practices.
No published educator resources currently tag this competency.
Gap
Knows where and how to report AI-related scams, abuse, or unfair outcomes and helps others do the same.
No published educator resources currently tag this competency.
Gap
Contributes to conversations about AI with respect and evidence.
No published educator resources currently tag this competency.
Gap
Contributes to AI related discussions by actively listening, sharing perspectives and respecting diverse experience.
No published educator resources currently tag this competency.
Gap
Makes space for different experiences and needs so public conversations about AI are fair and inclusive.
No published educator resources currently tag this competency.
Covered
Comply with data protection policies and safeguard sensitive information when using AI systems.
Covered
Use AI-powered platforms confidently and effectively in everyday work.
Gap
Explore and experiment with AI tools responsibly, ensuring alignment with organisational policies.
No published educator resources currently tag this competency.
Covered
Demonstrate and promote ethical awareness in everyday AI use by respecting privacy, questioning outputs, and encouraging responsible practices among colleagues.
Gap
Use AI safely and inclusively in collaborative settings, promoting transparency and equitable participation, with awareness of potential bias and accessibility limitations.
No published educator resources currently tag this competency.
Gap
Be transparent about the role of AI in producing work outputs.
No published educator resources currently tag this competency.
Covered
Apply AI tooling into workflows responsibly, ensuring alignment with organisational policies and practices.
Covered
Interpret AI-driven outputs critically and apply professional judgement.
Gap
Adapt to the changing nature of work through ongoing engagement with AI tools.
No published educator resources currently tag this competency.
Gap
Contribute to organisational learning about AI use.
No published educator resources currently tag this competency.
Gap
Serve as a local advocate for the effective and ethical use of AI tools and practices within their team or department.
No published educator resources currently tag this competency.
Gap
Provide first-line guidance and support to co-workers on appropriate AI use and troubleshooting common issues.
No published educator resources currently tag this competency.
Gap
Encourage compliance with organisational AI policies and data governance standards,
No published educator resources currently tag this competency.
Gap
Identify areas where AI can support efficiency, innovation, or service improvements, and share recommendations with leadership.
No published educator resources currently tag this competency.
Gap
Encourage participation in AI training, sharing resources and best practice examples with colleagues.
No published educator resources currently tag this competency.
Gap
Act as a liaison between frontline staff and senior leadership, feeding back on staff needs, adoption challenges, and success stories.
No published educator resources currently tag this competency.
Gap
Keep up to date with developments in AI tools and organisational policy, ensuring colleagues are aware of relevant updates and guidance.
No published educator resources currently tag this competency.
Gap
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.
No published educator resources currently tag this competency.
Gap
Demonstrate ownership of personal development and engage in continuous learning activities.
No published educator resources currently tag this competency.
Gap
Design and develop data-driven solutions and AI systems.
No published educator resources currently tag this competency.
Gap
Test and monitor AI systems to assess performance and accuracy.
No published educator resources currently tag this competency.
Gap
Ensure that AI systems are designed and developed in an ethical, safe and responsible way.
No published educator resources currently tag this competency.
Gap
Project and change management through delivery of innovative projects.
No published educator resources currently tag this competency.
Gap
Apply rigorous methodology to generate, validate and share knowledge that supports responsible AI practices.
No published educator resources currently tag this competency.
Gap
Design and maintains data architectures, pipelines, and infrastructure that support reliable, secure, and scalable AI operations.
No published educator resources currently tag this competency.
Gap
Evaluate human-AI collaboration and ensure AI systems are aligned with user needs.
No published educator resources currently tag this competency.
Gap
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.
No published educator resources currently tag this competency.
Gap
Uphold professional standards in data stewardship, model evaluation and stakeholder engagement.
No published educator resources currently tag this competency.
Gap
Design AI architectures that align technical, ethical, and organisational objectives.
No published educator resources currently tag this competency.
Gap
Effectively select, integrate, and contribute to open-source tools, frameworks, and libraries that support robust and reproducible AI system development.
No published educator resources currently tag this competency.
Gap
Engage with open-source communities in ways that uphold ethical, secure, and inclusive practices, promoting responsible participation in the AI ecosystem.
No published educator resources currently tag this competency.
Gap
Collect and prepare the required datasets in line with organisation standards, ensuring accuracy, compliance and readiness for AI project use.
No published educator resources currently tag this competency.
Gap
Support the application of AI and related technologies in ways that uphold rights, promote trust and deliver value.
No published educator resources currently tag this competency.
Gap
Collaborate effectively in multidisciplinary AI development teams.
No published educator resources currently tag this competency.
Gap
Implement, customise, and optimise low-code and no-code solutions that address organisational challenges, improve workflows, and enhance efficiency.
No published educator resources currently tag this competency.
Gap
Advocate for and ensure automation solutions are implemented responsibly, with fairness, transparency, and consideration for workforce wellbeing.
No published educator resources currently tag this competency.
Gap
Develop and apply methods to ensure AI explainability and interpretability to ensure that AI systems are transparent, interpretable, and understandable to appropriate audiences.
No published educator resources currently tag this competency.
Gap
Design and operate AI systems with due consideration for environmental and social sustainability.
No published educator resources currently tag this competency.
Gap
Apply AI governance and risk management principles to ensure compliance and accountability.
No published educator resources currently tag this competency.
Gap
Support the development of AI systems to proactively manage potential workforce impacts.
No published educator resources currently tag this competency.
Gap
Support the responsible, ethical and safe adoption of AI.
No published educator resources currently tag this competency.
Gap
Ensure responsible governance, security and stewardship of data across the AI lifecycle.
No published educator resources currently tag this competency.
Gap
Support documentation and auditability of AI systems and tooling.
No published educator resources currently tag this competency.
Gap
Deploy data-driven and AI solutions and integrate them with organisation's systems.
No published educator resources currently tag this competency.
Gap
Maintain and continuously improve deployed AI systems.
No published educator resources currently tag this competency.
Gap
Ensure the security, robustness, and resilience of AI systems.
No published educator resources currently tag this competency.
Gap
Contribute to the ongoing evaluation and refinement of solutions to ensure they remain effective and responsible, and aligned with evolving contexts.
No published educator resources currently tag this competency.
Gap
Performance management and continuous improvement.
No published educator resources currently tag this competency.
Gap
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.
No published educator resources currently tag this competency.
Gap
Support leadership and advocate for responsible introduction of artificial intelligence solutions.
No published educator resources currently tag this competency.
Gap
Communicate effectively with a range of audiences, ensuring clarity, transparency, and timeliness in reporting progress on AI throughout the AI project lifecycle.
No published educator resources currently tag this competency.
Gap
Design and develop data-driven and AI solutions that are intuitive and human-centred.
No published educator resources currently tag this competency.
Gap
Collaborate across disciplines to identify risks, integrate diverse perspectives and support responsible innovation.
No published educator resources currently tag this competency.
Gap
Research, critically evaluate, and apply emerging knowledge to AI automation developments, ensuring practice remains current, ethical, and forward-looking.
No published educator resources currently tag this competency.
Gap
Evaluate emerging AI technologies and their potential societal impact.
No published educator resources currently tag this competency.
Gap
Support learning, mentorship, and capacity building in responsible and ethical AI practice.
No published educator resources currently tag this competency.
Gap
Engage with and/or develop governance processes that enable validation, oversight and escalation.
No published educator resources currently tag this competency.
Gap
Evaluate and oversee external AI vendors and third-party tools to ensure technical fitness, compliance, and responsible operation.
No published educator resources currently tag this competency.
Gap
Define and communicate a coherent AI strategy that aligns with organisational goals and values.
No published educator resources currently tag this competency.
Gap
Balance innovation with practical delivery in AI adoption.
No published educator resources currently tag this competency.
Gap
Sponsor governance frameworks that safeguard lawful, ethical and responsible AI use.
No published educator resources currently tag this competency.
Gap
Embed ethical principles in AI decision-making and operations.
No published educator resources currently tag this competency.
Gap
Select AI vendors and suppliers through fair and evidence-based evaluation.
No published educator resources currently tag this competency.
Gap
Select technology platforms that meet organisational needs and mitigate long-term risks.
No published educator resources currently tag this competency.
Gap
Plan and manage workforce transformation resulting from AI adoption.
No published educator resources currently tag this competency.
Gap
Drive reskilling and learning to prepare staff for AI-enabled roles.
No published educator resources currently tag this competency.
Gap
Manage AI risks within the organisation’s broader enterprise risk framework.
No published educator resources currently tag this competency.
Gap
Ensure readiness for AI-related audits and incidents.
No published educator resources currently tag this competency.
Gap
Create a culture that enables responsible innovation in AI.
No published educator resources currently tag this competency.
Gap
Build trust and transparency in organisational AI use.
No published educator resources currently tag this competency.
Gap
Act as a credible advocate for the organisation in AI policy and regulatory discussions.
No published educator resources currently tag this competency.
Gap
Build trust with the public and external communities on AI use.
No published educator resources currently tag this competency.
Gap
Monitor regulatory changes and prepare the organisation for compliance.
No published educator resources currently tag this competency.
Gap
Oversee the embedding of regulatory readiness into business processes.
No published educator resources currently tag this competency.
Gap
Supports peers and communities to understand and use AI responsibly through clear guidance and examples.
No published educator resources currently tag this competency.
Gap
Shares AI knowledge and practices in ways that are understandable to colleagues of different backgrounds.
No published educator resources currently tag this competency.
Gap
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.
No published educator resources currently tag this competency.