Isbn: 9780520418295 - the injustice of fairness: algorithmic reparation and the case for redress (21 resultados)

paperback. Condición: Fine.

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paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condición: New. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Jenny L. Davis and Apryl A. Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywhere-from law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. …

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Jenny L. Davis and Apryl A. Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywhere-from law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. …

Paperback or Softback. Condición: New. The Injustice of Fairness: Algorithmic Reparation and the Case for Redress. Book.

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Paperback. Condición: Brand New. 170 pages. 5.50x0.44x8.50 inches. In Stock.

Condición: NEW.

Paperback. Condición: New. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Jenny L. Davis and Apryl A. Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywhere-from law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. …

Condición: New.

Paperback. Condición: new. Paperback. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Davis and Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywherefrom law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: New. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Jenny L. Davis and Apryl A. Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywhere-from law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. …

Taschenbuch. Condición: Neu. The Injustice of Fairness | Algorithmic Reparation and the Case for Redress | Apryl A. Williams (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | University of California Press | EAN 9780520418295 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Paperback. Condición: new. Paperback. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Davis and Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywherefrom law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: Brand New. 170 pages. 5.50x0.44x8.50 inches. In Stock. This item is printed on demand.

Paperback. Condición: new. Paperback. The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing "fairness" with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Davis and Williams explain why algorithmic fairness perpetually fails and present "algorithmic reparation" in its place. The stakes are high because algorithms are everywherefrom law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…