Assessment Tool Creation

Every month, I challenge myself to build one small solution using my own knowledge and skills, something that can help improve the way I work or benefit others around me. This month, I created an AI-powered app to test my own AI fluency and Artificial Intelligence knowledge based on the learning standards used in my organization. The questions are generated by AI using recent developments reported by global consultants, research institutions, and industry bodies, ensuring the assessment reflects what is actually happening in today’s AI landscape. I also designed five levels of AI fluency that resonate with how professionals can grow in an organization: L1 – Awareness: Understanding available AI tools. L2 – Productivity: Using AI tools to improve daily work. L3 – Process Transformation: Converting existing workflows into AI-assisted processes. L4 – AI Builder: Creating simple AI tools such as AI agents, vibe coding. L5 – AI Innovator: Building solutions that transform processes and deliver business value. After the assessment, the AI also recommends relevant training programs from the company’s learning catalog to close knowledge gaps. For me, AI leadership begins with continuous experimentation, learning, and improving AI fluency.

👓 🤖 Recommended tool: The #Artificial #Intelligence #Assessment #Scale (AIAS) is a #framework for integrating generative AI tools ethically into educational assessments. It provides a structured approach with five levels, ranging from no AI use (Level 1) to full AI use (Level 5), allowing educators to select the appropriate level based on the learning outcomes they aim to address. 💡To use the AIAS: 1. Review the five levels and their descriptions to understand the extent of permitted AI usage at each level. 2. For a given assessment task, determine the suitable level on the scale based on the learning objectives, the desired level of student engagement with AI tools, and the need for critical evaluation of AI-generated content. 3. Specify the selected AIAS level in the assessment instructions, clearly communicating the expectations for AI usage to students. 4. Provide additional guidelines or support materials to help students understand the appropriate and ethical use of AI tools for the specified level. 5. Evaluate student work according to the designated AIAS level, ensuring compliance with the specified AI usage requirements. 🔦To conduct assessments using the AIAS, educators should consider the following steps: clearly outline the assessment requirements and AIAS level, provide examples of acceptable and unacceptable AI usage, offer guidance on citing AI-generated content, and use appropriate methods (e.g., human evaluation, AI detection tools) to verify adherence to the specified AIAS level during grading. The AIAS aims to provide clarity, transparency, and a nuanced approach to integrating generative AI in assessments, embracing the opportunities while recognizing instances where such tools may not be pedagogically appropriate or necessary (Perkins et al., 2024). 👁️Citation: Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment. Journal of University Teaching and Learning Practice, 21(6).

𝗔𝗜 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹 𝗯𝘆 𝘁𝗵𝗲 🇦🇺 Australian Government’s Digital Transformation Agency (𝗗𝗧𝗔) The agency has released a comprehensive 𝗔𝗿𝘁𝗶��𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜) 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹 and supporting guidance to help teams navigate the complexities of responsible AI adoption. Published in December 2025, this resource is designed to identify, assess, and manage risks throughout the AI lifecycle, ensuring alignment with ethical principles. This is exactly the kind of foundational AI governance work governments, regulators, enterprises, and startups around the world 𝘀𝗵𝗼𝘂𝗹𝗱 𝗿𝗲𝘂𝘀𝗲 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝘂𝗽𝗼𝗻—𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗿𝗲𝗶𝗻𝘃𝗲𝗻𝘁𝗶𝗻𝗴 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝘀𝗶𝗹𝗼𝘀. Crucially, the product is provided under a 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗖𝗼𝗺𝗺𝗼𝗻𝘀 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝟰.𝟬 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗟𝗶𝗰𝗲𝗻𝗰𝗲, meaning you can leverage, adapt, and build upon this work regardless of your location. If you’re a CISO, AI leader, policymaker, regulator, or founder, I strongly recommend reviewing and adapting this work for your own AI programs. Kudos to the DTA for putting something this thoughtful and actionable into the public domain. 🌏🤖 📎 Attaching the document here for wider adoption and learning #AISafety #AIGovernance #ResponsibleAI #AIRegulation #DigitalGovernment #CISO #Policy #EthicalAI

How I Built a Comprehensive Business Assessment App in Under 10 Minutes (With Zero Coding) The barrier between "having a great idea" and "building a functional app" has officially collapsed. Today, I documented my experience using Claude Artifacts to transform a simple conversation about business DNA into a fully-functional AI readiness assessment application. The Process: ↳ I started by mapping the components of a business (processes, data, supporting activities) ↳ We discussed opportunities for AI integration ↳ I requested a simple assessment tool ↳ Claude generated a complete application with: - Industry selection - Company size evaluation - Process automation assessment - Risk analysis - Scoring system - Exportable reports The entire build took approximately 7 minutes from concept to functional application. The Implications Are Enormous: For consultants, coaches, and service providers, this means you can now create custom tools for client onboarding, assessment, and value demonstration without development costs or timeline delays. For entrepreneurs, this allows rapid prototyping and testing of digital product ideas before investing in full development. The Question Now Becomes: What calculations, assessments, or processes in your business could be transformed into interactive tools? What value could you deliver to clients if the technical barriers were removed? I'm excited to see how this technology democratizes app creation across industries. What would you build first? - Audra ✌️ #BusinessInnovation #AITools #NoCode #DigitalTransformation #ClaudeArtifacts #ProductivityHacks

Built an AI-powered onboarding assessment tool you can use for free. It isn't like a typical AI, you've chatted to. I've configured this one to be extra sassy. How it works: 1. You paste any knowledge base (training materials, product docs, policies), it extracts the key knowledge areas, then an AI voice agent conducts a natural 5-minute conversational quiz with the new hire. 2. At the end of call, you get an instant scorecard with grades per area and personalised feedback. The voice bit uses ElevenLabs conversational AI which is surprisingly good at handling 'I don't know' gracefully and moving on (instead of getting stuck in a loop like most chatbots). (Warning: I’ve set up the agent to be fairly militant with not letting you get away with weaselly answers) No signup required. Paste content, start quiz, get results. Built it for onboarding assessment but reckon it works for any knowledge transfer verification... Most companies still do this manually (if at all). HR folk scheduling 30-minute sessions to quiz new hires on the employee handbook. Dave from compliance reading out policy questions like it's 1995. Meanwhile, the new starter's pretending to listen while secretly wondering if they can expense lunch… Let me know what you think in the comments. Give it a whirl (no API keys or sign-up required): https://lnkd.in/ekf2y2-5