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  1. sciencedirect.com

    With the continuing application of artificial intelligence (AI) technologies in decision-making, algorithmic decision-making is becoming more efficient, often even outperforming humans. Despite this superior performance, people often consciously or unconsciously display reluctance to rely on algorithms, a phenomenon known as algorithm aversion.
  2. europarl.europa.eu

    Understanding algorithmic decision-making: Opportunities and challenges systems used to support decision-making. These systems, known as 'ADS' (algorithmic decision systems), often rely on the analysis of large amounts of personal data to infer correlations or, more generally, to derive in
  3. sciencedirect.com

    Apr 1, 2024Abstract Algorithmic decision-making - the use of computational methods that enable machines to automatically complete tasks and/or make decisions - is emerging as a critical source of competitive advantage for organizations. However, despite many benefits, there is an inherent dark side associated with it that can manifest issues ranging from a loss of privacy for individuals to societal ...
  4. europarl.europa.eu

    Understanding algorithmic decision-making: Opportunities and challenges While algorithms are hardly a recent invention, they are nevertheless increasingly involved in systems used to support decision-making in society. These ADS (algorithmic decision systems) often rely on the analysis of large amounts of personal data to infer correlations or, more generally, to derive information deemed ...
  5. journals.sagepub.com

    To explore perceptions of algorithmic management, we conducted an online experiment using four managerial decisions that required either mechanical or human skills. We manipulated the decision-maker (algorithmic or human), and measured perceived fairness, trust, and emotional response.
  6. hai.stanford.edu

    Decision-making algorithms ingest problem-relevant information from the environment and produce an action. Think an AI algorithm that takes in patient vital signs and outputs a diagnosis, or a stock-trading system that synthesizes daily market prices and suggests stock buys.
  7. link.springer.com

    May 27, 2024Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ...
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