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One of the most effective things a government can do to foster an ecosystem of AI startups is to have a National Open Data Strategy. Put all government data behind APIs, sponsor the creation of high-quality public datasets in various domains relevant to local markets & language.
New startups, open-source applications, and big co services will emerge to make use of this data. It's one of the most cost-effective way to foster innovation, and, unlike research & education (which are also critical), it has short-term returns
Datasets = infrastructure for the future.
http://data.gov was created for this purpose in 2008, mostly hosting simpler datasets. It can be a lot more comprehensive with options such as model sharing. I guess we need Obama to come back.
as @Parisa__Rashidi said that’s why we run @usdatagov and @CodeDotGov has tagging standards for AI code and models; https://code.gov/assets/data/ai_inventory-guidance.pdf …
We don't think APIs are the answer. For many applications, you need to see the entire dataset. We have a really simple, open source format for data sharing called Dolt. It's Git semantics around a SQL database. https://www.dolthub.com .
Couldn’t agree more.
Unfortunately, the eventual end game is for-profit co's lobbying the govt to handicap the govt orgs that gave the data for free in the first place. Strong licensing laws and non-compete clauses need to be in place for this to not back fire. Recent Ex: https://youtu.be/qMGn9T37eR8
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