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"Accountability" derives from the late Latin accomptare (to account), a prefixed form of computare (to calculate), which in turn is derived from putare (to reckon). [6] While the word itself does not appear in English until its use in 13th century Norman England, [7] the concept of account-giving has ancient roots in record-keeping activities related to governance and money-lending systems ...
Diffusion of responsibility [1] is a sociopsychological phenomenon whereby a person is less likely to take responsibility for action or inaction when other bystanders or witnesses are present. Considered a form of attribution , the individual assumes that others either are responsible for taking action or have already done so.
In general medicine and psychiatry, recovery has long been used to refer to the end of a particular experience or episode of illness.The broader concept of "recovery" as a general philosophy and model was first popularized in regard to recovery from substance abuse/drug addiction, for example within twelve-step programs or the California Sober method.
In business and project management, a responsibility assignment matrix [1] (RAM), also known as RACI matrix [2] (/ ˈ r eɪ s i /; responsible, accountable, consulted, and informed) [3] [4] or linear responsibility chart [5] (LRC), is a model that describes the participation by various roles in completing tasks or deliverables [4] for a project or business process.
The coach asks questions and offers reflections to help the client reach clarity and decide what steps to take. Recovery coaching emphasizes honoring values and making principle-based decisions, creating a clear plan of action, and using current strengths to reach future goals. The coach provides accountability to help the client stay on track. [5]
Algorithmic accountability refers to the allocation of responsibility for the consequences of real-world actions influenced by algorithms used in decision-making processes. [ 1 ] Ideally, algorithms should be designed to eliminate bias from their decision-making outcomes.
Accountability for reasonableness is an ethical framework that describes the conditions of a fair decision-making process. It focuses on how decisions should be made and why these decisions are ethical. It was developed by Norman Daniels and James Sabin and is often applied in health policy and bioethics. [1]
In response to this ambiguity, Prentice-Dunn and Rogers (1982, 1989) extended Diener's model by distinguishing public self-awareness from private self-awareness. Public self-awareness they theorized to be reduced by "accountability cues", such as diffusion of responsibility or anonymity. Such factors, according to these theorists, cause members ...