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  2. Boosting (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Boosting_(machine_learning)

    Compared with binary categorization, multi-class categorization looks for common features that can be shared across the categories at the same time. They turn to be more generic edge like features. During learning, the detectors for each category can be trained jointly.

  3. National Security Commission on Artificial Intelligence

    en.wikipedia.org/wiki/National_Security...

    The National Security Commission on Artificial Intelligence (NSCAI) was an independent commission of the United States of America from 2018 to 2021. Its mission was to make recommendations to the President and Congress to "advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the ...

  4. Algorithmic bias - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_bias

    Bias can emerge from many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. [2] For example, algorithmic bias has been observed in search engine results and social media platforms.

  5. Ethics of artificial intelligence - Wikipedia

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

    The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, [2] automated decision-making, accountability, privacy, and regulation.

  6. Artificial Unintelligence: How Computers Misunderstand the ...

    en.wikipedia.org/wiki/Artificial_Unintelligence:...

    Her research focuses on the role of artificial intelligence in journalism. Broussard has published features and essays in many outlets including The Atlantic, Harper’s Magazine, and Slate Magazine. Broussard has published a wide range of books examining the intersection of technology and social practice.

  7. Fairness (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Fairness_(machine_learning)

    Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variables considered sensitive (e.g., gender, ethnicity, sexual orientation, or disability).

  8. AI capability control - Wikipedia

    en.wikipedia.org/wiki/AI_capability_control

    The AI-box experiment is an informal experiment devised by Eliezer Yudkowsky to attempt to demonstrate that a suitably advanced artificial intelligence can either convince, or perhaps even trick or coerce, a human being into voluntarily "releasing" it, using only text-based communication.

  9. Frame (artificial intelligence) - Wikipedia

    en.wikipedia.org/.../Frame_(artificial_intelligence)

    A frame's terminals are already filled with default values, which is based on how the human mind works.. For example, when a person is told "a boy kicks a ball", most people will visualize a particular ball (such as a familiar soccer ball) rather than imagining some abstract ball with no attributes.