Isbn: 9780262552363 - ai fairness: designing equal opportunity algorithms (26 risultati)

Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

paperback. Condizione: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

paperback. Condizione: Fine.

paperback. Condizione: Very Good. Cover and edges may have some wear.

Condizione: New.

Paperback. Condizione: new. Paperback. A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.Decisions about important social goods like education, employment, housing, loans, health care, and criminal justice are all becoming increasingly automated with the help of artificial intelligence. But because AI models are trained on data with historical inequalities, they often produce unequal outcomes for members of disadvantaged groups. In AI Fairness, Derek Leben draws on traditional philosophical theories of fairness to develop a framework for evaluating AI models, which can be called a theory of algorithmic justice-a theory inspired by the theory of justice developed by the American philosopher John Rawls.For several years now, researchers who design artificial intelligence models have investigated the causes of inequalities in AI decisions and proposed techniques for mitigating them. It turns out that in most realistic conditions it is impossible to comply with all metrics simultaneously. Because of this, companies using AI systems will have to choose which metric they think is the correct measure of fairness, and regulators will need to determine how to apply currently existing laws to AI systems. Leben provides a detailed set of practical recommendations for companies looking to evaluate their artificial intelligence systems and regulators thinking about laws around AI systems, and he offers an honest analysis of the costs of implementing fairness in AI systems-as well as when these costs may or may not be acceptable. "An attempt to solve the problems of algorithmic injustice by bringing Rawl's theory of fairness to the domain of AI ethics"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

paperback. Condizione: 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.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 233 pages. 8.75x5.75x0.75 inches. In Stock.

paperback. Condizione: New.

Condizione: new.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New.

Condizione: NEW.

Paperback. Condizione: new. Paperback. A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.Decisions about important social goods like education, employment, housing, loans, health care, and criminal justice are all becoming increasingly automated with the help of artificial intelligence. But because AI models are trained on data with historical inequalities, they often produce unequal outcomes for members of disadvantaged groups. In AI Fairness, Derek Leben draws on traditional philosophical theories of fairness to develop a framework for evaluating AI models, which can be called a theory of algorithmic justice-a theory inspired by the theory of justice developed by the American philosopher John Rawls.For several years now, researchers who design artificial intelligence models have investigated the causes of inequalities in AI decisions and proposed techniques for mitigating them. It turns out that in most realistic conditions it is impossible to comply with all metrics simultaneously. Because of this, companies using AI systems will have to choose which metric they think is the correct measure of fairness, and regulators will need to determine how to apply currently existing laws to AI systems. Leben provides a detailed set of practical recommendations for companies looking to evaluate their artificial intelligence systems and regulators thinking about laws around AI systems, and he offers an honest analysis of the costs of implementing fairness in AI systems-as well as when these costs may or may not be acceptable. "An attempt to solve the problems of algorithmic injustice by bringing Rawl's theory of fairness to the domain of AI ethics"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.Decisions about important social goods like education, employment, housing, loans, health care, and criminal justice are all becoming increasingly automated with the help of artificial intelligence. But because AI models are trained on data with historical inequalities, they often produce unequal outcomes for members of disadvantaged groups. In AI Fairness, Derek Leben draws on traditional philosophical theories of fairness to develop a framework for evaluating AI models, which can be called a theory of algorithmic justice-a theory inspired by the theory of justice developed by the American philosopher John Rawls.For several years now, researchers who design artificial intelligence models have investigated the causes of inequalities in AI decisions and proposed techniques for mitigating them. It turns out that in most realistic conditions it is impossible to comply with all metrics simultaneously. Because of this, companies using AI systems will have to choose which metric they think is the correct measure of fairness, and regulators will need to determine how to apply currently existing laws to AI systems. Leben provides a detailed set of practical recommendations for companies looking to evaluate their artificial intelligence systems and regulators thinking about laws around AI systems, and he offers an honest analysis of the costs of implementing fairness in AI systems-as well as when these costs may or may not be acceptable. "An attempt to solve the problems of algorithmic injustice by bringing Rawl's theory of fairness to the domain of AI ethics"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Derek Leben is Associate Teaching Professor of Business Ethics at the Tepper School of Business at Carnegie Mellon University. As founder of the consulting group Ethical Algorithms, he has worked with governments and companies to develop policies on fairnes.

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.Decisions about important social goods like education, employment, housing, loans, health care, and criminal justice are all becoming increasingly automated with the help of artificial intelligence. But because AI models are trained on data with historical inequalities, they often produce unequal outcomes for members of disadvantaged groups. In AI Fairness, Derek Leben draws on traditional philosophical theories of fairness to develop a framework for evaluating AI models, which can be called a theory of algorithmic justicea theory inspired by the theory of justice developed by the American philosopher John Rawls.For several years now, researchers who design artificial intelligence models have investigated the causes of inequalities in AI decisions and proposed techniques for mitigating them. It turns out that in most realistic conditions it is impossible to comply with all metrics simultaneously. Because of this, companies using AI systems will have to choose which metric they think is the correct measure of fairness, and regulators will need to determine how to apply currently existing laws to AI systems. Leben provides a detailed set of practical recommendations for companies looking to evaluate their artificial intelligence systems and regulators thinking about laws around AI systems, and he offers an honest analysis of the costs of implementing fairness in AI systemsas well as when these costs may or may not be acceptable.…

Taschenbuch. Condizione: Neu. AI Fairness | Designing Equal Opportunity Algorithms | Derek Leben | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | MIT Press Ltd | EAN 9780262552363 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…