Multiculturalism and UX in Artificial Intelligence

Juanisa J. McCoy

Juanisa J. McCoy’s experience involves organizations like Oracle, ViaSat, NASA, and Cox Communications where she has had the opportunity to build end-to-end rewarding experiences that people use everyday. She believes that design can bridge the gap between cultures. With that passion, her focus is immersive experiences, connected cities and communities, communication, and machine learning and AI for better humanistic engagement. Nisa is currently on the VR/AR Association’s Storytellers Committee to help drive best experiences and practices in this space. Connect with her at Twitter and LinkedIn.

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​As pioneers in story automation, how do we collaborate to gather and train sustainable and inclusive data across all cultures? Juanita McCoy shares her thoughts and invites you to explore our interactive paper on AI, Storytelling, and Culture. 

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The important question is not if we need more data, but what kind of data we need. What does that data represent and how can it help improve our individual needs, community engagement, and enterprise workflow and solutions? We are more diverse within our workforce and community than ever before and we need to embrace this in our machine learning approaches.
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In the current artificial intelligence (AI) climate, we are discovering that our collective data is missing crucial schemas and models that represent the global citizen and employee. When designing or computing with data we need to consider the following:

• To make data impactful with inclusion and not develop it in an echo chamber
• Community representation in customer data — understanding your customers and community necessities, engagement, and connectivity
• Associate needs and productivity in enterprise data — understanding how your employee works, how to hire and embrace various cultures within the workspace, and how to help your employees thrive
• Testing diverse hypotheses with cultural data and a varied focus group

At IVOW, we are partnering with major contributors in the machine learning (ML), artificial intelligence, global advocacy, and product design spaces to help solve the issue of how to keep data sustainable across all cultures within our communities and workplaces. We are working to foster an alliance to include diverse inputs and historical assets as well as modern entities. With this we can continue to enhance our applications and human interactions to help drive better engagement, accurate data, diverse revenue flows, and community planning.

We encourage you to join us in building a sustainable virtual community that connects all of our communities. Learn more about AI, culture, and storytelling here: “Can Artificial Intelligence Create Culturally Conscious Stories?”