 Artificial Intelligence is shaping the future of automated stories. However, many of these tools are missing global voices and cultural data. This might mean that future AI systems will internalize the same lack of cultural diversity that we find in some of the present media narratives -- unless there are interventions in collection, usage, and sharing of data about world cultures. At the same time, many non-storytelling AIs have struggled to be responsive to the values, goals, and principles of different communities. We now have too many examples of systems that make incorrect (for the users) tradeoffs, focus on “needs” that do not really exist, or otherwise reflect the biases and perspectives of the developers, rather than the people who are affected by the AI. A community’s stories reveal much about the value systems in that community, and so a closer consideration of local cultures and traditions could greatly improve the ability of non-storytelling AI to respond to people’s values and interests. In a series of interactive workshops on May 31, at the AI for Good Summit in Geneva, we'll explore ways to invite global voices into AI. The workshops, led by AI and Storytelling thought leaders, will explore pioneering research on automated storytelling and include hands-on workshops on structured data collection as one of the keys to training algorithms to be more culturally aware. In addition, the workshops delve into ethical and historical considerations as we create the foundations for a deeply inclusive AI. Comments are closed.
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