
Gather, Share, Build (SSIR)

5. Prioritizing Quality Data From The Start
Source:https://pair.withgoogle.com/guidebook/patterns
The foundation of any successful AI project is good data. Poor data management can lead to “data cascades,” where one issue leads to another, impacting the user experience. Investing in robust data practices early on can prevent these pitfalls.
Aim For:
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Source:https://pair.withgoogle.com/guidebook/patterns
The foundation of any successful AI project is good data. Poor data management can lead to “data cascades,” where one issue leads to another, impacting the user experience. Investing in robust data practices early on can prevent these pitfalls.
Aim For:
... See more
⚡️ Nurkhon Akhmedov ⚡️ • Google’s AI design principles in 2024: user-centric AI experiences
Stewards of the information commons – and in particular organizations manag -ing open licensing frameworks and content-sharing platforms – are among those stakeholders who should face the challenge of mitigating risks and harms associ -ated with and caused by the open sharing of content as an information commons. These stakeholders need to collabor... See more
Alek Tarkowski • Filling the governance vacuum related to the use of information commons for AI training
The case for open source AI
press.airstreet.com