Identifying AI Risks and Limitations
Identifying AI Risks and Limitations involves understanding and interpreting the inherent uncertainties and ethical implications of AI technologies. This capability proactively detects potential failures and issues in AI systems. The ability to manage these risks enhances control, responsibility, and trust in AI applications, supporting more informed and objective decision-making processes.
Level 1: Emerging
At a foundational level you are aware that AI systems can have risks, limitations, and ethical issues. You recognize that mistakes and biases may occur, and you know when to flag potential concerns to others. This helps you contribute to a culture of responsibility and caution when working with or around AI tools.
Level 2: Proficient
At a developing level you are starting to recognize common risks and limitations in AI tools you use at work. You can spot obvious issues, such as bias in data or unclear results, and raise them with your team. This helps build a more careful approach to using AI and supports better decision-making in your role.
Level 3: Advanced
At a proficient level you are able to recognize common risks and limitations in AI systems and explain their potential impact on your work or team. You seek out relevant information and raise concerns when you identify possible issues, ensuring risks are addressed early. By doing this, you help build trust in AI and shape responsible adoption in your area.
Working with AI-Augmented Processes
Working with AI-Augmented Processes is the proficiency to participate in, manage, or create workflows integrated with artificial intelligence. In the context of AI-Fluency, it encompasses comprehension of AI-driven systems, digital data feeds, and delivering AI-backed solutions. Effectively mastering this capability elevates operational efficiency, enhances decision-making, and drives innovation within the organization.
Level 1: Emerging
At a foundational level you are able to recognize when AI is used within workplace processes and can follow simple instructions to interact with AI-driven tools. You understand the basic role AI plays in supporting tasks and improving workflow efficiency. Your awareness helps you contribute to team activities where AI is part of the process.
Level 2: Proficient
At a developing level you are able to follow established AI-supported processes and use basic AI tools as part of your daily tasks. You understand how AI fits into your workflow and can identify when to seek help or clarification. This allows you to contribute reliably to AI-driven projects and build confidence using AI at work.
Level 3: Advanced
At a proficient level you are able to confidently use and adapt AI-augmented processes in your day-to-day work, recognizing where AI can improve existing workflows and outcomes. You understand how to interpret AI-driven insights and use them to make well-informed decisions for your team or projects. Your capability helps foster better efficiency and drives consistent, measurable improvements in business operations.
Understanding Data Inputs and Bias
Understanding Data Inputs and Bias' is the ability to identify and analyze the sources and types of data used in AI processes. The individual demonstrates an understanding of how bias may infiltrate AI systems and algorithms through these data inputs. The impact is in formulating unbiased, robust AI outputs that provide equitable, accurate solutions and decisions.
Level 1: Emerging
At a foundational level you are able to recognize where data used in AI comes from and note obvious examples of bias in it. You understand that biased or poor-quality data can lead to unfair or inaccurate AI outcomes. This awareness helps you flag concerns early so more informed, equitable decisions can follow.
Level 2: Proficient
At a developing level you are able to recognize different types of data used in AI systems and can describe basic examples of how bias might enter through these data sources. You begin to spot potential issues and understand why fair data matters. This helps you contribute to discussions about data selection and identify where further review may be needed.
Level 3: Advanced
At a proficient level you are able to recognize and explain how the sources and types of data used in AI influence outcomes, including where bias might arise. You routinely analyze data inputs, questioning their origin and representativeness. This enables you to help your team create fairer, more accurate AI solutions that better serve all stakeholders.
Understanding AI Fundamentals
Understanding AI Fundamentals is the ability to grasp the key concepts of Artificial Intelligence and its applications. This involves recognizing the potential and risks of AI, as well as identifying relevant use cases. As a result, individuals will be equipped to better utilise AI technologies and contribute to informed decision-making within an AI-Fluency framework.
Level 1: Emerging
At a foundational level you are aware of basic AI concepts and can recognize common examples of how AI is used in everyday tasks at work and beyond. You understand that AI has both benefits and limitations, and are able to identify simple situations where it could be useful. This means you can join discussions about AI and spot potential opportunities or risks for your team.
Level 2: Proficient
At a developing level you are beginning to recognize basic AI concepts and can identify simple examples of AI in your workplace or industry. You understand that AI has both opportunities and potential risks, and can describe these in general terms. This helps you start conversations about AI and seek guidance when exploring new possibilities.
Level 3: Advanced
At a proficient level you are able to clearly explain core AI concepts and recognize both the opportunities and risks of applying AI in your work. You can identify suitable use cases and help others understand where AI can add value. This means you contribute to responsible and informed decisions about when and how to use AI in your organization.
recognizing AI Use Cases in Role
recognizing AI Use Cases in Role is the ability to identify and understand the potential application of artificial intelligence within one's job or function. Its core is the discernment to differentiate where AI can enhance effectiveness or introduce new possibilities. This capability directly impacts strategic decision-making and influences the adoption of AI-driven initiatives.
Level 1: Emerging
At a foundational level you are beginning to notice where AI could support or improve tasks in your role, even if you are still learning about its full potential. You can describe simple examples of AI in action and recognize conversations where AI solutions might fit. This helps you start thinking about how AI could be relevant to your everyday work.
Level 2: Proficient
At a developing level you are beginning to recognize where AI could be used in your daily work and can spot simple, relevant examples with guidance. You ask questions and seek out information about how AI might make tasks easier or more efficient. This helps you participate in early discussions about AI opportunities in your area.
Level 3: Advanced
At a proficient level you are able to spot clear opportunities for AI to improve tasks or solve problems within your role. You can explain how AI could make processes smarter or more efficient, and share these ideas with your team. Your awareness of practical AI use cases helps guide better choices and encourages adoption.
Prompting and Querying AI Tools
Prompting and Querying AI Tools' is the ability to interact effectively with AI platforms, utilising distinct enquiries and command prompts. It involves understanding how to phrase requests or questions to obtain accurate results or actions from AI technology. This proficiency enhances person-AI collaboration outcomes and boosts efficiency in data analysis and decision making.
Level 1: Emerging
At a foundational level you are able to enter simple, clear questions or instructions into AI tools to receive basic information or suggestions. You use straightforward prompts, recognizing that how you phrase your request affects the AI’s response. This helps you start to get useful results and become more comfortable working alongside AI in your daily tasks.
Level 2: Proficient
At a developing level you are able to use basic prompts or questions with AI tools to get straightforward results or answers. You recognize how changing your wording can improve the responses you receive, and you are becoming more confident in refining your requests. This helps you get more value from AI in your day-to-day work.
Level 3: Advanced
At a proficient level you are able to craft clear and specific prompts or questions that guide AI tools to deliver useful and accurate responses. You adapt your approach based on the tool and the task, knowing how to refine your input for better results. This means you can work efficiently with AI to support daily analysis and decision making.
Promoting Responsible AI Use
Promoting Responsible AI Use is the ability to apply ethical considerations whilst implementing AI in various scenarios. It requires critical discernment to anticipate potential dilemmas, alongside a strong grasp of regulations and best practices related to AI. The impact being mindful usage of AI, mitigating risks and fostering trust.
Level 1: Emerging
At a foundational level you are aware that using AI responsibly means following basic ethical principles and company guidelines. You can recognize when to be cautious and know who to ask if you spot something unclear or potentially risky. This helps you use AI tools in a way that builds trust and reduces possible harm.
Level 2: Proficient
At a developing level you are beginning to recognize the importance of ethical AI use and start to consider possible risks when using AI tools in your work. You seek guidance and follow established rules, but may need support to spot or handle complex issues. Your growing awareness helps build a more thoughtful and careful approach to AI in the team.
Level 3: Advanced
At a proficient level you are applying ethical guidelines and AI regulations to your daily work, making sure AI is used responsibly in different situations. You recognize potential risks and speak up when issues arise, promoting open conversations about safe AI use. This builds trust with your colleagues and helps protect your organization from unintended consequences.
Participating in AI Governance Practices
Participating in AI Governance Practices is the ability to engage proactively in the administration and management of AI systems. Specifically, it encompasses understanding ethical considerations, adhering to regulations and following standards of best practice. This participation enhances transparency, safety and fairness, strengthening the reliability and reputation of AI use in various contexts.
Level 1: Emerging
At a foundational level you are aware of basic ethical and regulatory considerations when working with or around AI systems. You follow set guidelines and procedures to help ensure AI is used responsibly in your day-to-day tasks. Your actions support a workplace culture of safety, fairness and transparency in AI use.
Level 2: Proficient
At a developing level you are beginning to engage with AI governance practices by following basic guidelines and asking questions when unsure. You understand the importance of ethical considerations and compliance, and you seek guidance on these aspects when needed. Your participation helps ensure that AI systems are used responsibly and align with organizational values.
Level 3: Advanced
At a proficient level you are actively involved in applying AI governance principles in your daily work, ensuring ethical standards and regulations are followed. You recognize potential risks and raise concerns when you see issues with AI systems or decisions. By doing this, you help your team build trust and confidence in how AI is used across the organization.
Interpreting AI-Generated Outputs
Interpreting AI-Generated Outputs is the ability to decipher, evaluate, and utilise data produced by artificial intelligence systems. It includes the understanding of AI context, discerning relevance of results, identifying biases in outputs, and the continual learning to adapt to AI's evolving capacities. This capability fosters informed decision-making, bridging the gap between AI potential and practical application.
Level 1: Emerging
At a foundational level you are able to recognize when information or results have been produced by AI and understand their basic purpose. You can identify straightforward patterns and use AI outputs to support simple tasks. This helps you make basic, informed choices while starting to build confidence working with AI-driven information.
Level 2: Proficient
At a developing level you are able to review and make use of basic AI-generated outputs, recognizing when results are broadly relevant or potentially biased. You can describe the context of these outputs and act on straightforward insights. This helps you make more informed choices, while building your confidence to use AI in your day-to-day work.
Level 3: Advanced
At a proficient level you are able to confidently interpret AI-generated results, recognizing patterns, relevance, and potential biases in outputs. You apply this understanding to support sound decisions, adjusting your approach as AI tools and data evolve. Your capability helps your team use AI in practical, informed ways that add real value.
Evaluating AI-Driven Recommendations
Evaluating AI-Driven Recommendations' is the ability to critically assess the suggestions generated by artificial intelligence. This involves an understanding of the algorithms and likelihood models informing the recommendations, and the ability to measure their utility against business objectives. This capability enhances decision-making, ensuring AI technology is aligned with organizational strategy and progress.
Level 1: Emerging
At a foundational level you are able to recognize when a recommendation is made by an AI system and understand that these suggestions are based on patterns in data. You know to check AI recommendations against basic business needs before taking action. This ensures your decisions remain aligned with the organization’s overall direction.
Level 2: Proficient
At a developing level you are beginning to review AI-generated recommendations and can spot clear strengths or limitations in their outputs. You use basic checks and compare suggestions to known business goals, asking questions where recommendations seem off-track. This helps you build confidence in using AI insights while supporting good decisions.
Level 3: Advanced
At a proficient level you are able to analyze AI-generated recommendations with confidence, weighing their relevance and accuracy against your team’s goals. You understand the basics of how AI models work and can spot when a recommendation might be unsuitable or biased. This means your decisions are more informed and better support your organization’s objectives.
Ethical Implications of AI Use
Ethical Implications of AI Use' involves understanding and respectfully considering the moral consequences of applying AI technology. It informs knowledge of equitable AI application, whilst reducing potential harm or bias. Ultimately, this capability factors upon AI-fluency's welfare, inclusivity, and transparency, fostering ethically sound AI deployments.
Level 1: Emerging
At a foundational level you are aware that using AI systems can raise ethical issues such as fairness, privacy, and bias. You recognize your responsibility to consider these concerns when using or discussing AI in your work. This creates a stronger base for respectful, inclusive, and transparent use of AI across your organization.
Level 2: Proficient
At a developing level you are beginning to recognize common ethical risks and concerns related to AI, such as potential bias or misuse. You seek guidance when uncertain and follow basic principles to ensure fair use. Your growing awareness helps you support more responsible and inclusive AI practices within your team.
Level 3: Advanced
At a proficient level you are able to identify and address common ethical risks when using AI, such as bias or unintended harm. You ask thoughtful questions about fairness, transparency, and consent, and adjust your approach when concerns are raised. Your choices help build trust and ensure AI solutions are responsibly applied across the organization.
Enhancing Workflows with AI Tools
"Enhancing Workflows with AI Tools" is the ability to leverage artificial intelligence resources to improve efficiency and outcomes in professional processes. It requires understanding of AI technology, noting its context-specific benefits, and applying these for task optimization. This capability significantly boosts productivity, supports data-driven decisions and creates more streamlined, intelligent operations.
Level 1: Emerging
At a foundational level you are aware of common AI tools and understand their basic uses within your daily tasks. You can recognize opportunities where AI might improve workflow efficiency, even if you rely on guidance to use these tools effectively. This ensures you begin to work smarter and contribute to improved team productivity.
Level 2: Proficient
At a developing level you are beginning to identify where AI tools could improve specific tasks in your workflow and trialling simple applications under guidance. You sometimes adopt AI solutions to save time or handle routine data, seeking advice as needed. This helps you boost efficiency in parts of your work while building your confidence with AI.
Level 3: Advanced
At a proficient level you are able to confidently identify and use AI tools to make everyday tasks faster and more accurate. You adapt your workflows based on what these tools offer, choosing the right solution for each challenge. This approach boosts your productivity and helps your team work smarter, not harder.
Differentiating AI, ML, and Automation
"Differentiating AI, ML, and Automation is the ability to distinguish between Artificial Intelligence, Machine Learning, and automation technologies. This knowledge underpins effective strategic technology decision making. It involves understanding the varying applications, strengths and limitations of AI, ML and automation and the implications for the broader business environment."
Level 1: Emerging
At a foundational level you are able to identify the basic differences between AI, machine learning, and automation. You can recognize simple, everyday examples of each, helping you speak about these technologies with accuracy. This allows you to participate in conversations about AI in your workplace with greater confidence.
Level 2: Proficient
At a developing level you are able to tell the basic differences between AI, machine learning, and automation when discussed or seen in workplace examples. You can recognize why each might be used for different business purposes, though you may need support to explain their strengths and limits. This helps you start spotting where each fits into your team’s work.
Level 3: Advanced
At a proficient level you are able to clearly explain the differences and relationships between AI, machine learning, and automation, using workplace examples to demonstrate each. You recognize where each is most suitable and can advise teams on which to use for practical business challenges. This helps your organization make informed technology choices and keeps projects aligned with business needs.
Contributing to AI Adoption Readiness
Contributing to AI Adoption Readiness' is the capacity to bolster the acceptance and integration of AI technologies within an entity. It involves understanding the potential, limits and ethical issues of AI, as well as the ability to communicate these complexities clearly to diverse stakeholders. The end impact is an organization prepared and eager to leverage AI, accelerating innovation, and productivity.
Level 1: Emerging
At a foundational level you are open to learning about AI, recognizing its potential and basic limitations within your organization. You seek to understand essential ethical considerations and can discuss them simply with colleagues. Your openness and curiosity help foster a positive attitude towards AI adoption in your immediate team.
Level 2: Proficient
At a developing level you are starting to recognize where AI could be helpful in your team’s work and can raise basic questions about its use. You listen to colleagues’ concerns about AI and share straightforward information drawn from trusted sources. By doing this, you help build early understanding and openness to AI across your immediate group.
Level 3: Advanced
At a proficient level you are actively supporting your team in understanding and embracing AI, explaining key concepts, opportunities, and risks in clear, accessible language. You help identify practical ways AI could improve everyday work, while encouraging open conversations about ethical and operational concerns. Your efforts build trust and motivation, making your workplace more ready for successful AI adoption.
Communicating AI Benefits and Limits
Communicating AI Benefits and Limits' is the ability to clearly articulate the advantages, potential risks and realistic constraints of AI applications. This involves understanding deep technical concepts, translating those into plain English, and effectively conveying them to stakeholders. This capability promotes informed decision-making, optimal usage, and responsible AI adoption.
Level 1: Emerging
At a foundational level you are able to explain, in simple terms, what AI can and cannot do within your area of work. You recognize basic advantages and limitations of AI and can share these with colleagues to support everyday understanding. This helps create honest conversations and encourages responsible use of AI in your team.
Level 2: Proficient
At a developing level you are able to explain in basic terms how AI can help or create risks in everyday work situations. You can share simple examples of what AI does well and where it may fall short, making it clearer for colleagues. This helps build early understanding and encourages careful, practical use of AI.
Level 3: Advanced
At a proficient level you are able to clearly explain both the key benefits and important limitations of AI tools to colleagues and stakeholders with varied technical backgrounds. You confidently translate technical details into plain English, helping others understand what AI can and cannot do. This supports practical decisions and encourages responsible use across your organization.
Collaborating with AI Specialists
Collaborating with AI Specialists' is the capacity to effectively liaise, navigate and synergise with AI experts. It encapsulates the comprehension of AI technologies, fluency in AI-centric discourse, and the ability to leverage this understanding to create productive collaborations. This capability fosters streamlined communication, richer information sharing and increases the efficiency of problem-solving within the AI domain.
Level 1: Emerging
At a foundational level you are able to recognize when to involve AI specialists and can communicate your basic needs clearly. You understand common AI terminology and know how to engage with experts to seek guidance or clarification. This helps you support cross-team understanding and ensures your work aligns with broader AI goals.
Level 2: Proficient
At a developing level you are beginning to work with AI specialists by asking informed questions and sharing relevant information about your tasks. You have some understanding of basic AI concepts, which helps you engage in straightforward conversations. This allows you to contribute to team outcomes while growing your confidence in AI-focused collaboration.
Level 3: Advanced
At a proficient level you are able to communicate confidently and clearly with AI specialists, using the correct terminology and showing a solid grasp of AI concepts. You contribute to discussions, ask informed questions, and support collaborative efforts. This leads to more effective teamwork and better integration of AI solutions in your projects.
AI and Privacy Compliance Awareness
AI and Privacy Compliance Awareness is an ability to understand and apply key principles of privacy and data protection in the context of AI technology. It entails the capacity to identify potential privacy concerns arising from AI applications and align these with an organization’s compliance obligations. This capability ensures responsible AI usage, reducing privacy risk and bolstering public trust.
Level 1: Emerging
At a foundational level you are aware that AI systems can impact privacy and that protecting personal data is important. You recognize basic privacy risks when using AI and know your responsibility to follow the organization's guidelines. This helps you play your part in ensuring safe and responsible AI use.
Level 2: Proficient
At a developing level you are starting to recognize how AI systems interact with privacy laws and your organization’s data obligations. You can identify basic privacy risks in everyday AI use and seek guidance when unsure. Your growing awareness helps reduce simple compliance mistakes and supports safer AI adoption within your team.
Level 3: Advanced
At a proficient level you are able to recognize and respond to privacy and data protection issues as they arise in your AI-related work. You apply relevant organization policies and legal requirements, seeking advice when situations are unclear. This helps ensure responsible AI use and protects both customer trust and your organization’s reputation.
Assessing AI Tool Suitability
Assessing AI Tool Suitability is the ability to evaluate and select the most appropriate artificial intelligence tools for particular tasks or projects. It involves understanding the strengths, weaknesses and nuances of different AI technologies, and matching these to specific organizational needs or operational requirements. This capability enables effective decision-making and application of AI, driving efficiency and innovation.'
Level 1: Emerging
At a foundational level, you are able to recognize when an AI tool might be useful for basic, well-defined tasks. You can identify simple examples of AI tools and understand their general purpose, but you rely on others for guidance in choosing the right option. This helps you start conversations about using AI to make your work more efficient.
Level 2: Proficient
At a developing level you are beginning to compare basic features and functions of different AI tools, with some understanding of what makes them suitable for simple tasks. With guidance, you can match straightforward business needs to commonly used AI solutions. This helps your team avoid mismatches and encourages more confident AI use.
Level 3: Advanced
At a proficient level you are able to compare different AI tools and clearly judge which best fits your team’s needs, using evidence rather than guesswork. You can explain your choices, considering practical factors such as cost, ease of use, and data security. This means you help your organization use AI more effectively and with fewer risks.
