AI REDGIO 5.0 Collaborative Intelligence Platform: Difference between revisions
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Revision as of 13:48, 16 November 2023
Facilitating Human-AI collaboration through cutting-edge AI capabilities
Asset Description
The AI REDGIO 5.0 Collaborative Intelligence Platform is a solution at the forefront of Industry 5.0.[1] The idea is to combine various technological advancements to redefine industrial landscapes. The platform facilitates Human-AI collaboration by integrating cutting-edge AI capabilities. In this way, the platform is intended to illustrate the potential of connected devices, sensors, and machines through real-time data fusion and analysis, driving optimal decision-making and resource allocation.
Features
| Feature | Description |
|---|---|
| Integration of Advanced Technologies | Integration of cutting-edge technologies, including AI-driven analytics, and Internet of Things (IoT)-enabled devices to create a synergistic ecosystem |
| Human-Machine Interaction | Facilitating interaction between human operators and machines |
| Support of Real-time Operations | The platform works in tandem with real-time data analytics on IoT data |
| Continuous Learning and Knowledge Management | Storage in a knowledge-sharing and learning management repository |
| Collaborative Innovation | Fostering a culture of collaborative innovation, where human operators can interact with AI for improved processes and final product |
User Journey
Our platform adopts a practical problem-solving approach, data analysis, and process optimisation. This subsection offers a comprehensive usage walkthrough, explaining the interaction of the user with the Collaborative Intelligence Platform as a whole, and as a part of the user's MLOps operations and tools they already use.
- Onboarding and User Authentication: Ensure secure access to the system, safeguarding sensitive data and mitigating potential security breaches
- Integrating IoT and Smart Devices: The integration of IoT and smart devices using a methodology for the interconnection of heterogeneous devices
- AI-driven Data Analytics and Insights: The system can start working to detect patterns, anomalies, and trends within the data through ML algorithms
- Human-Machine Interaction and Augmentation: Coordination of actions between human operators and machines, emphasising augmentation rather than substitution
- Real-Time Process Optimisation: Automatically adjusting operational parameters in response to changing conditions and input provided by the user through the #Collaborative Intelligence Component
- Knowledge Base and Learning Management: Exploring the knowledge repository containing organisational know-how, accumulated insights, and best practices
- Collaborative Innovation and Continuous Improvement: The ultimate goal of Collaborative Intelligence: facilitating cross-functional collaboration and iterative enhancement through data analytics, human-machine collaboration, and organisational knowledge
Collaborative Intelligence Platform Components
The AI REDGIO 5.0 Collaborative Intelligence Platform is comprised of 3 underlying components.
| Component | Description | Type | Status |
|---|---|---|---|
| Collaborative Intelligence Component | Allows the human operator to accept or reject a manufactured product. This component has an interface that can be configured around various metrics including, but not limited to, accuracy, interpretability, speed, etc | User-facing | Working Prototype |
| Pipeline Creation Component | Easily create, configure, and deploy workflows in various work environments. This component acts as the backbone of a robust and efficient workflow management system, enabling organisations to optimise their processes and achieve higher productivity | User-facing | Work in Progress |
| Interfacing Component | Connects the operator interface with hardware and housing pre-trained models ready for deployment in manufacturing environments. This component acts as the bridge between the digital and physical realms of experiments | Backend | Working Prototype |
Usage Walkthroughs
How to use the AI REDGIO 5.0 Platform
Collaborative Intelligence Component
The human operator can assess the results of the AI/ML models and provide feedback with regards to 4 aspects (accuracy, correctness, energy-efficiency, latency) through the Collaborative Intelligence (C.I) component. The human operator's feedback is propagated back to the AI/ML analytics tool of the user to perform the relevant adjustments to the model configuration for results optimisation.
1. Entering the C.I Platform
- Navigate to the url https://www.github.com/
- Enter your credentials (Note: User registration and account creation is managed by Software Competence Centre Hagenberg - SCCH)
2. Data and ML/AI results inspection
After successfully entering the platform, you are led to the C.I Dashboard, where you can review your data and provide feedback.
- Select ML/AI evaluation axis: ML/AI models can be evaluated based on various parameters. Click one of the available radio buttons (accuracy, correctness, energy-efficiency, latency) to instantiate the Table and the charts with the corresponding data and provide your feedback
- View the data: The Table is loaded with the data from the integrated dataset (containing the ML/AI results). You can select in a dropdown the ML/AI output feature that you would like to inspect.
3. Human provides feedback to AI
- Provide feedback: Check the value of the output feature per row and provide feedback on the ML/AI performance with regards to the evaluation axis you have selected. You provide feedback in the form of Yes (i.e., the ML/AI model for the specific output feature value was accurate/ correct/energy-efficient/fast) or No (i.e. the ML/AI model for the specific output feature value was inaccurate/ incorrect/ not energy-efficient/ slow)
- Check the evaluation charts: The bar charts that appear on the top of the C.I Dashboard provide an overview of the ML/AI evaluation by the human operator so far
4. AI is adjusted according to Human Feedback
Resources
- Code available in Github
- Download through Github
- Created by Software Competence Centre Hagenberg - SCCH
- Contact [email]
References
- ↑ Ivanov, D. (2023). The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683-1695.