Unlock the Potential of Open AI in Smart Manufacturing Below are the few guiding principles and perspectives on responsible Generative AI strategy 20 .
• Responsibility : Generative AI should be designed and used in a way that respects human dignity , rights , values , and norms . It should also be fair , transparent , explainable , and inclusive , avoiding or mitigating any potential biases or harms to individuals or groups .
• Principles : Develop principles that reflect the organization ’ s values , intent , and approach to product innovation , in the supply chain , and in production .
• Practices : Adopt practices and tools to apply throughout the manufacturing lifecycle . Generative AI is a rapidly evolving technology that requires continuous learning and improvement . Therefore , it is important to adopt an agile and iterative approach to Generative AI implementation , starting with small-scale pilots and experiments to test the value proposition and feasibility of use cases , then scaling up the successful ones across the organization or ecosystem 21 .
• Tools : Implement best practices around Generative AI system development lifecycle by infusing error analysis , interpretability of machine learning models and bias mitigation .
• Governance : Determine and establish a strong governance and compliance framework that builds trust and confidence among all stakeholders . Generative AI comes with risks , among them IP and copyright infringement , cybersecurity breaches , data privacy violations , and unintended consequences . Therefore , it is necessary to have clear and consistent policies and standards for data collection , storage , sharing , and usage ; model development , testing , deployment , and monitoring ; and accountability and liability .
6 CONCLUSION
Open AI can support the development and adoption of Industry 4.0 and smart manufacturing solutions by providing open-source platforms , frameworks , and tools for AI and machine learning applications . Industry 4.0 and digital factory can benefit from Open AI by ensuring that their technologies are ethical , trustworthy , and accountable . The possibilities are endless . Generative AI / OpenAI can potentially add value to :
• Convert unstructured NLP feeds into structured data points .
• Allow designers to generate product design based on consumer sentiment and feedback .
• Optimize material usage / requirements in the design process .
The potential outcomes of leveraging Open AI are multi-fold :
20 https :// news . microsoft . com / futurecomputed /
21 https :// www . gartner . com / en / doc / 797407-use-case-prism-generative-ai-for-manufacturing Journal of Innovation 63