Coverage Mapping

Educator Resource Competency Mapping

This view shows which AISfB competencies are currently covered by published educator resources.

C1

Gap

Identifies where AI operates in daily life and understands its basic functions and limits.

No published educator resources currently tag this competency.

C2

Gap

Engages with AI-driven tools and services thoughtfully, understanding both benefits and risks.

No published educator resources currently tag this competency.

C3

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.

C4

Gap

Understands how personal data is collected, processed, and used to train and personalise AI systems.

No published educator resources currently tag this competency.

C5

Gap

Takes active steps to protect personal data and manage privacy across AI enabled platforms.

No published educator resources currently tag this competency.

C6

Gap

Shares only what is necessary, understands consent choices, and reviews permissions regularly.

No published educator resources currently tag this competency.

C7

Gap

Demonstrates awareness of AI-generated material and understands its implications for information integrity.

No published educator resources currently tag this competency.

C8

Gap

Critically assesses the reliability and fairness of AI-generated outputs before accepting or sharing them.

No published educator resources currently tag this competency.

C9

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.

C10

Gap

Detects and avoids harmful or deceptive uses of AI, including fraud, manipulation, or misinformation.

No published educator resources currently tag this competency.

C11

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.

C12

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.

C13

Gap

Contributes to conversations about AI with respect and evidence.

No published educator resources currently tag this competency.

C14

Gap

Contributes to AI related discussions by actively listening, sharing perspectives and respecting diverse experience.

No published educator resources currently tag this competency.

C15

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.

C18

Gap

Explore and experiment with AI tools responsibly, ensuring alignment with organisational policies.

No published educator resources currently tag this competency.

C20

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.

C21

Gap

Be transparent about the role of AI in producing work outputs.

No published educator resources currently tag this competency.

C24

Gap

Adapt to the changing nature of work through ongoing engagement with AI tools.

No published educator resources currently tag this competency.

C25

Gap

Contribute to organisational learning about AI use.

No published educator resources currently tag this competency.

C26

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.

C27

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.

C28

Gap

Encourage compliance with organisational AI policies and data governance standards,

No published educator resources currently tag this competency.

C29

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.

C30

Gap

Encourage participation in AI training, sharing resources and best practice examples with colleagues.

No published educator resources currently tag this competency.

C31

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.

C32

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.

C33

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.

C34

Gap

Demonstrate ownership of personal development and engage in continuous learning activities.

No published educator resources currently tag this competency.

C35

Gap

Design and develop data-driven solutions and AI systems.

No published educator resources currently tag this competency.

C36

Gap

Test and monitor AI systems to assess performance and accuracy.

No published educator resources currently tag this competency.

C37

Gap

Ensure that AI systems are designed and developed in an ethical, safe and responsible way.

No published educator resources currently tag this competency.

C38

Gap

Project and change management through delivery of innovative projects.

No published educator resources currently tag this competency.

C39

Gap

Apply rigorous methodology to generate, validate and share knowledge that supports responsible AI practices.

No published educator resources currently tag this competency.

C40

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.

C41

Gap

Evaluate human-AI collaboration and ensure AI systems are aligned with user needs.

No published educator resources currently tag this competency.

C42

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.

C43

Gap

Uphold professional standards in data stewardship, model evaluation and stakeholder engagement.

No published educator resources currently tag this competency.

C44

Gap

Design AI architectures that align technical, ethical, and organisational objectives.

No published educator resources currently tag this competency.

C45

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.

C46

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.

C47

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.

C48

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.

C49

Gap

Collaborate effectively in multidisciplinary AI development teams.

No published educator resources currently tag this competency.

C50

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.

C51

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.

C52

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.

C53

Gap

Design and operate AI systems with due consideration for environmental and social sustainability.

No published educator resources currently tag this competency.

C54

Gap

Apply AI governance and risk management principles to ensure compliance and accountability.

No published educator resources currently tag this competency.

C55

Gap

Support the development of AI systems to proactively manage potential workforce impacts.

No published educator resources currently tag this competency.

C56

Gap

Support the responsible, ethical and safe adoption of AI.

No published educator resources currently tag this competency.

C57

Gap

Ensure responsible governance, security and stewardship of data across the AI lifecycle.

No published educator resources currently tag this competency.

C58

Gap

Support documentation and auditability of AI systems and tooling.

No published educator resources currently tag this competency.

C59

Gap

Deploy data-driven and AI solutions and integrate them with organisation's systems.

No published educator resources currently tag this competency.

C60

Gap

Maintain and continuously improve deployed AI systems.

No published educator resources currently tag this competency.

C61

Gap

Ensure the security, robustness, and resilience of AI systems.

No published educator resources currently tag this competency.

C62

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.

C63

Gap

Performance management and continuous improvement.

No published educator resources currently tag this competency.

C64

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.

C65

Gap

Support leadership and advocate for responsible introduction of artificial intelligence solutions.

No published educator resources currently tag this competency.

C66

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.

C67

Gap

Design and develop data-driven and AI solutions that are intuitive and human-centred.

No published educator resources currently tag this competency.

C68

Gap

Collaborate across disciplines to identify risks, integrate diverse perspectives and support responsible innovation.

No published educator resources currently tag this competency.

C69

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.

C70

Gap

Evaluate emerging AI technologies and their potential societal impact.

No published educator resources currently tag this competency.

C71

Gap

Support learning, mentorship, and capacity building in responsible and ethical AI practice.

No published educator resources currently tag this competency.

C72

Gap

Engage with and/or develop governance processes that enable validation, oversight and escalation.

No published educator resources currently tag this competency.

C73

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.

C74

Gap

Define and communicate a coherent AI strategy that aligns with organisational goals and values.

No published educator resources currently tag this competency.

C75

Gap

Balance innovation with practical delivery in AI adoption.

No published educator resources currently tag this competency.

C76

Gap

Sponsor governance frameworks that safeguard lawful, ethical and responsible AI use.

No published educator resources currently tag this competency.

C77

Gap

Embed ethical principles in AI decision-making and operations.

No published educator resources currently tag this competency.

C78

Gap

Select AI vendors and suppliers through fair and evidence-based evaluation.

No published educator resources currently tag this competency.

C79

Gap

Select technology platforms that meet organisational needs and mitigate long-term risks.

No published educator resources currently tag this competency.

C80

Gap

Plan and manage workforce transformation resulting from AI adoption.

No published educator resources currently tag this competency.

C81

Gap

Drive reskilling and learning to prepare staff for AI-enabled roles.

No published educator resources currently tag this competency.

C82

Gap

Manage AI risks within the organisation’s broader enterprise risk framework.

No published educator resources currently tag this competency.

C83

Gap

Ensure readiness for AI-related audits and incidents.

No published educator resources currently tag this competency.

C84

Gap

Create a culture that enables responsible innovation in AI.

No published educator resources currently tag this competency.

C85

Gap

Build trust and transparency in organisational AI use.

No published educator resources currently tag this competency.

C86

Gap

Act as a credible advocate for the organisation in AI policy and regulatory discussions.

No published educator resources currently tag this competency.

C87

Gap

Build trust with the public and external communities on AI use.

No published educator resources currently tag this competency.

C88

Gap

Monitor regulatory changes and prepare the organisation for compliance.

No published educator resources currently tag this competency.

C89

Gap

Oversee the embedding of regulatory readiness into business processes.

No published educator resources currently tag this competency.

C90

Gap

Supports peers and communities to understand and use AI responsibly through clear guidance and examples.

No published educator resources currently tag this competency.

C91

Gap

Shares AI knowledge and practices in ways that are understandable to colleagues of different backgrounds.

No published educator resources currently tag this competency.

C92

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.