Tribal Qonf: “Introducing Cultural Intelligence to AI” by Davar Ardalan

  The future of civic life and commerce will be driven in large part by conversational interfaces like speech-based personal assistants, chatbots, and AI-powered customer support services. Nonetheless, the current tools available to customers and brands lack the sophistication to engage users with cultural richness….

 

The future of civic life and commerce will be driven in large part by conversational interfaces like speech-based personal assistants, chatbots, and AI-powered customer support services. Nonetheless, the current tools available to customers and brands lack the sophistication to engage users with cultural richness. This diminishes the return on automation investment capital and weakens the potency of brand engagement. Join Davar Ardalan, Founder of IVOW AI, as she shares her insights on the future of cultural intelligence in AI. In an age of hyper-personalized marketing and its emphasis on first-party data, Ardalan talks about why novel solutions and tools in AI as applied to audience and culture research are more valuable than ever.

The Role of Testers and Technologists:
Testers have a role in designing this new future. Afterall, wouldn’t you want conversational AI’s to understand your cultural context and be able to respond to you effectively? If we have the ingenuity to make self-driving cars, we can and must make the interactions between humans and machines more empathetic and inclusive.
Investing in Cultural AI:
For us to build the most effective technology, we need to learn from our past and build our future with more comprehensive data sets. The concept of personalization in technology has been front and center for years. Now we just need to add cultural intelligence:
  • Use AI to search for, identify, classify, and promote all possible cultures from the past, present, and future
  • Maintain a real-time culture graph based on changing external data points and human input
  • Make cultural intelligence easily available to both human and machine audiences
Building cultural intelligence in AI is a vital and daunting task. To do this right, we need to collaborate with a coalition of global experts in testing, data, AI, cultural anthropology, ethics, and engineering. Together we can make Cultural AI a thriving part of AI in the decades to come.

Speaker Bio:

Davar Ardalan is a tech entrepreneur and founder at IVOW AI. Together with TopCoder, IVOW is leading a Women in History Data Ideation Challenge to gain new insights for AI products and solutions with a concentration on women. Ardalan is also co-chair of the Cultural Heritage and AI track at ITU’s AI For Good. Prior to this, she was Deputy Director of the Presidential Innovation Fellowship Program and before that a journalist at NPR News, where she was Senior Producer of the Identity and Culture Unit. Ardalan, who has also served as Managing Editor at Hanson Robotics, has been recognized with a NASA Team Leadership award for Space Apps, a Gracie Award from the American Women in Radio and Television and a shout-out in the comic strip Zippy. In May 2014, she was the recipient of an Ellis Island Medal of Honor, for individual achievement and for promoting cultural unity.

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