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  2. Black Codes (United States) - Wikipedia

    en.wikipedia.org/wiki/Black_Codes_(United_States)

    The Black Codes, sometimes called the Black Laws, were laws which governed the conduct of African Americans (both free and freedmen).In 1832, James Kent wrote that "in most of the United States, there is a distinction in respect to political privileges, between free white persons and free colored persons of African blood; and in no part of the country do the latter, in point of fact ...

  3. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    Explainable AI ( XAI ), often overlapping with interpretable AI, or explainable machine learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [ 1][ 2] The main focus is usually on the reasoning behind the ...

  4. Black in AI - Wikipedia

    en.wikipedia.org/wiki/Black_in_AI

    Black in AI. Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. [1] [2] [3] It started as a conference workshop, later pivoting into an organization. Black in AI increases the presence and inclusion of Black people ...

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  7. Blackboard system - Wikipedia

    en.wikipedia.org/wiki/Blackboard_system

    A blackboard system is the central space in a multi-agent system. It's used for describing the world as a communication platform for agents. To realize a blackboard in a computer program, a machine readable notation is needed in which facts can be stored. One attempt in doing so is a SQL database, another option is the Learnable Task Modeling ...

  8. Ethics of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Ethics_of_artificial...

    However, making code open source does not make it comprehensible, which by many definitions means that the AI code is not transparent. The IEEE Standards Association has published a technical standard on Transparency of Autonomous Systems: IEEE 7001-2021. [63] The IEEE effort identifies multiple scales of transparency for different stakeholders.

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