Artificial Intelligence is playing major roles like advisory role, purchase and trend prediction, online fashion retails, Smart Wearable Products, Mass Customer Interaction, electronics textiles, smart fashions and lifestyle accessories in the fashion world. Ethical and accountable for any negative outcomes of artificial intelligence continue to emerge in fashion industries.

In such situation ethical, trusted worthy, responsible AI with interpretable, fair, safe and respectful of a customer’s privacy is required in fashion sector.

Case i

As a fast trending fashion world look to AI to address global issues ranging from carbon emission to inventory prediction. Fashion AI can be used from old stock, current stock to determine future stock. The defining characteristic is that there is limited into the decisions made by the system. Sometimes, it can lead to dead stock issues. Here attributes and correlations are open to inspection. Further, customer needs to know how much water will be water consumed for production of blue jeans. This transparency is required all levels and all stages with positive human values for the progress of Society 5.0.

Case ii

In smart cloths and wearable technology, can include details on human body data can be collected and used, how models should be evaluated, and how to best deploy and monitoring models. There should be transparency in data and models. Further, they should always aim to minimize indirect harmful behavior. Industry should define who is responsible for data and decision, potential risks, cyber risks with artificial intelligence governance.

Case iii

Any Fashion Design must be designed in ways that maximize fairness and design should inclusively by correcting unknown design factors and material factors. All fashion design must be explainable and understandable with free of cost in non-technical, intuitive language. My body, my choice, my dress and unisex dress are becoming famous in the fashion world.

Case iv

Fashion AI systems must respect privacy by providing individuals with agency over their data and the decisions made with it. When customer purchase jeans, the customer data will be shared to another relevant company.

Case v

Customer can vary and validate generated their own images based on Background, Shape, Texture and Pose used Generative Adversarial Network (GAN) and Deep Convolutional Generative Adversarial Network (DCGAN) techniques. In the personalized fashion recommendation fashion industries should be watchful of the evolving customer emotion regulatory landscape and ensure compliance at all times. It needs reliable grievance redressal mechanisms.

Case vi

Although fashion AI models are built to operate independently without human interference, human dependency is a necessity in some cases. For example, in brand fraud detection or design fact correlation where law enforcement is involved, human supervision is required to review decisions made by AI models.

Conclusion

From a fast fashion point of view, AI's revolutionary potential is changing global power relations. The creation and strategic use of responsible AI technologies and Leading fashion world in AI research and development have a distinct advantage. This article describes role of responsible artificial intelligence and how the adoption of the responsible artificial intelligence principles contributed in the future fashion industry. 

https://www.forbes.com/sites/forbestechcouncil/2021/09/01/six-essential-elements-of-a-responsible-ai-model/?sh=293d26a256cf