Google's AI principles

Google's AI principles

Reshared post from +Gideon Rosenblatt

Google sets out its principles around artificial intelligence. Encouraging.

1. Be socially beneficial.
2. Avoid creating or reinforcing unfair bias.
3. Be built and tested for safety.
4. Be accountable to people.
5. Incorporate privacy design principles.
6. Uphold high standards of scientific excellence.
7. Be made available for uses that accord with these principles:

Many technologies have multiple uses. We will work to limit potentially harmful or abusive applications. As we develop and deploy AI technologies, we will evaluate likely uses in light of the following factors:

Primary purpose and use: the primary purpose and likely use of a technology and application, including how closely the solution is related to or adaptable to a harmful use

Nature and uniqueness: whether we are making available technology that is unique or more generally available

Scale: whether the use of this technology will have significant impact

Nature of Google’s involvement: whether we are providing general-purpose tools, integrating tools for customers, or developing custom solutions

AI at Google: our principles
We’re announcing seven principles to guide our work in AI.

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The absolutely amazing theory of almost everything…

The absolutely amazing theory of almost everything…

The Standard Model of Particle Physics: The Absolutely Amazing Theory of Almost Everything
The Standard Model. What a dull name for the most accurate scientific theory known to humans. How about the Absolutely Amazing Theory of Almost Everything instead? That’s what the Standard Model really is. In short, the Standard Model answers this question: What is everything made of, and how does it hold together?

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