Condizione: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Springer Pub Date: 9/18/2019 Binding: paperback Pages: 82 first edition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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Lingua: Inglese
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ISBN 10: 1009356380 ISBN 13: 9781009356381
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Aggiungi al carrelloPaperback. Condizione: New. Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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ISBN 10: 1009356380 ISBN 13: 9781009356381
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Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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ISBN 10: 1009356380 ISBN 13: 9781009356381
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Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
Da: Kennys Bookstore, Olney, MD, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
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Lingua: Inglese
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ISBN 10: 1009356380 ISBN 13: 9781009356381
Da: Chiron Media, Wallingford, Regno Unito
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Da: Basi6 International, Irving, TX, U.S.A.
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100929315X ISBN 13: 9781009293150
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 64,37
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100929315X ISBN 13: 9781009293150
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 66,74
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 15,95
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Case Study from the year 2023 in the subject Computer Science - Internet, New Technologies, grade: 1,0, Charles University in Prague (Faculty of Social Sciences), course: Security and Technology, language: English, abstract: This paper tries to answer the question, how the LA Police Department uses AI (Artificial Intelligence) algorithms to profile criminality. Can these algorithms always be fair and impartial In today¿s society, we are constantly surrounded by artificial intelligence, especially by algorithms that try to profile us to predict our future behaviour. These algorithms are deeply embedded in our daily lives, whether we are watching Netflix, using Amazon music or do online shopping, they try to present us with suggestions to get us more involved with the platform to spend more time there and therefore more money. But these algorithms are not only operated by business companies alone, they are also implemented with public policy providers and law enforcement agencies, like police forces.First, the author gives a detailed explanation of how these algorithms work, then he lists examples in which areas police forces might use these algorithms, such as facial recognition software and making suggestions about the sentencing of criminals. However, the paper also discusses critique of the use of technology by law enforcement. Many ascribe these algorithms a certain bias, especially racially, having mainly been trained on a dataset, which in itself is biased. The next chapter contains the author's methodology, which he then applies to his case study about the LA Police Department in the last part of his paper.
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Technology generally becomes faster and cheaper over time. Computers follow Moore's Law, doubling in power while halving in price. Yet, in the realm of life-saving medicine, the exact opposite is happening. 'Eroom's Law' (Moore spelled backward) highlights a terrifying economic reality: the cost of discovering and developing a new drug doubles roughly every nine years.Despite massive advancements in artificial intelligence, genome sequencing, and automated chemical screening, the pharmaceutical industry is suffering from crippling stagnation. The hidden bottlenecks are not scientific, but systemic. Hyper-cautious regulatory environments, the exhaustion of 'low-hanging fruit' in basic biology, and the astronomical financial burden of late-stage clinical trials have ground innovation to a halt.This text meticulously deconstructs the multi-billion-dollar gamble of modern pharmacology. You will trace the logistical hurdles of bringing a single molecule to market, the corporate strategy of acquiring smaller biotech startups rather than innovating, and the systemic inefficiencies threatening the future of global healthcare.Step inside the boardrooms of the medical industry. Understand the brutal economic math that dictates which diseases get cured and why the golden age of drug discovery may be behind us.
Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100929315X ISBN 13: 9781009293150
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
EUR 39,52
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Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Eroom's Law: The Exponential Cost of Drug Discovery | Algorithms, Bureaucracy, and the Financial Stagnation in the Global Pharmaceutical [.] | Camilla Heydrich | Taschenbuch | Englisch | epubli | EAN 9783565383177 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Shanghai Jiaotong University Press, 2023
ISBN 10: 7313287127 ISBN 13: 9787313287120
Da: liu xing, Nanjing, JS, Cina
EUR 76,08
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2023-07 Pages:200 Publisher:Shanghai Jiaotong University Press This book mainly explores how algorithms in modern society produce social intelligence. The author. Professor Elena Esposito. follows the social communication theory of her mentor Niklas Luhmann. pointing out that digital technologies such as machine learning are not artificial intelligence. but artificial communication. It is misleading to make such an analogy between algorithms and human intel.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100929315X ISBN 13: 9781009293150
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 76,29
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press Feb 2023, 2023
ISBN 10: 1009356380 ISBN 13: 9781009356381
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 38,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.