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  2. Using algorithms and artificial intelligence for hiring risks ...

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    The Biden administration said Thursday that employers who use algorithms and artificial intelligence to make hiring decisions risk violating the ADA.

  3. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    The growing use of Artificial Intelligence-enabled hiring systems has become an important component of modern talent hiring, particularly through social networks such as LinkedIn and Facebook. However, data overflow embedded in the hiring systems, based on Natural Language Processing (NLP) methods, may result in unconscious gender bias.

  4. Randomized algorithm - Wikipedia

    en.wikipedia.org/wiki/Randomized_algorithm

    A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random determined by the random bits; thus either the running time, or the output (or both) are ...

  5. Secretary problem - Wikipedia

    en.wikipedia.org/wiki/Secretary_problem

    The secretary problem demonstrates a scenario involving optimal stopping theory [1] [2] that is studied extensively in the fields of applied probability, statistics, and decision theory. It is also known as the marriage problem, the sultan's dowry problem, the fussy suitor problem, the googol game, and the best choice problem.

  6. Here's how businesses are using artificial intelligence in ...

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  7. Local search (constraint satisfaction) - Wikipedia

    en.wikipedia.org/wiki/Local_search_(constraint...

    The main problem of these algorithms is the possible presence of plateaus, which are regions of the space of assignments where no local move decreases cost. The second class of local search algorithm have been invented to solve this problem. They escape these plateaus by doing random moves, and are called randomized local search algorithms.

  8. Gale–Shapley algorithm - Wikipedia

    en.wikipedia.org/wiki/Gale–Shapley_algorithm

    The algorithm can be implemented to run in time quadratic in the number of participants, and linear in the size of the input to the algorithm. The stable matching problem, and the Gale–Shapley algorithm solving it, have widespread real-world applications, including matching American medical students to residencies and French university ...

  9. Isolation lemma - Wikipedia

    en.wikipedia.org/wiki/Isolation_lemma

    This can be used to obtain a randomized parallel algorithm for the maximum matching problem. Stronger isolation lemmas have been introduced in the literature to fit different needs in various settings. For example, the isolation lemma of Chari, Rohatgi & Srinivasan (1993) has similar guarantees as that of Mulmuley et al., but it uses fewer ...