The past week was the peak of activity of this challenge, with 7 workshops in 7 days across the planet: Bangalore, Berlin, Jaipur, Paris, São Paulo, Seoul and Vienna. Participants ranged from government officials, experts and industry leaders to students and representatives of civil society, united around the same question: How can we realize the goal of inclusion in the future trajectory of artificial intelligence?
In the process, more than 30 ideas were published on policy kitchen. We already see the emergence of some clusters, among others:
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Inclusive data pools (using common principles, a legal framework or a standard to integrate public data, sector specific data standards, or even a global data repository)
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Inclusive education and awareness (with fellowships, targeted communications, collaborative networks, AI Academies and even some ideas on financing through a global fund)
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Inclusive governance models (particularly stressing bottom-up processes, global scope and agility / flexibility)
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Definitions and standards of inclusiveness (e.g. definitions, the creation of an ISO or IEEE standard, flexible models including consumer choice and a focus on women, youth and other specific groups)
Check out the full list of ideas, and help improving them with your comments!
Here are a few impressions from the workshops:
