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  2. 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 ...

  3. Mamba (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Mamba_(deep_learning...

    Removes the bias of subword tokenisation: where common subwords are overrepresented and rare or new words are underrepresented or split into less meaningful units. This can affect the model's understanding and generation capabilities, particularly for languages with rich morphology or tokens not well-represented in the training data.

  4. 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.

  5. 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.

  6. 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).

  7. Synthetic Environment for Analysis and Simulations - Wikipedia

    en.wikipedia.org/wiki/Synthetic_Environment_for...

    The Sentient World Simulation project (SWS) is to be based on SEAS. The ultimate goal envisioned by Alok R. Chaturvedi on March 10, 2006 was for SWS to be a "continuously running, continually updated mirror model of the real world that can be used to predict and evaluate future events and courses of action. SWS will react to actual events that ...

  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. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]