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  2. Normalcy bias - Wikipedia

    en.wikipedia.org/wiki/Normalcy_bias

    Normalcy bias, or normality bias, is a cognitive bias which leads people to disbelieve or minimize threat warnings. [1] Consequently, individuals underestimate the likelihood of a disaster, when it might affect them, and its potential adverse effects. [ 2 ]

  3. List of cognitive biases - Wikipedia

    en.wikipedia.org/wiki/List_of_cognitive_biases

    Normalcy bias, a form of cognitive dissonance, is the refusal to plan for, or react to, a disaster which has never happened before. Effort justification is a person's tendency to attribute greater value to an outcome if they had to put effort into achieving it.

  4. Normalization of deviance - Wikipedia

    en.wikipedia.org/wiki/Normalization_of_deviance

    Normalization of deviance, according to American sociologist Diane Vaughan, is the process in which deviance from correct or proper behavior or rule becomes culturally normalized.

  5. Cognitive bias - Wikipedia

    en.wikipedia.org/wiki/Cognitive_bias

    The Cognitive Bias Codex. A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. [1] Individuals create their own "subjective reality" from their perception of the input. An individual's construction of reality, not the objective input, may dictate their behavior in the world.

  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. Algorithmic bias - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_bias

    Using machine learning to detect bias is called, "conducting an AI audit", where the "auditor" is an algorithm that goes through the AI model and the training data to identify biases. [162] Ensuring that an AI tool such as a classifier is free from bias is more difficult than just removing the sensitive information from its input signals ...

  8. Farewell to Normalcy - AOL

    www.aol.com/news/farewell-normalcy-235705179.html

    Trump’s message and Tucker’s interview were fitting ways to wind down 2023, the year America finally gave up on normal politics. In both cases, flouting expectations of normalcy was the point.

  9. Ostrich effect - Wikipedia

    en.wikipedia.org/wiki/Ostrich_effect

    This statement shows that when confronted with information that contradicts their beliefs, individuals may experience cognitive dissonance and avoid seeking it to reduce discomfort. This avoidance is the ostrich effect. The opposite, seeking information consistent with your beliefs, is a cognitive bias termed confirmation bias. [11]