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In this work, the authors present an overview of the algorithm audit methodology. They include the history of audit studies in the social sciences from which this method is derived; a summary of key algorithm audits over the last two decades in a variety of domains such as health, politics, and discrimination.
Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.
Praise for Auditor's Guide to Information Systems Auditing "Auditor's Guide to Information Systems Auditing is the most comprehensive book about auditing that I have ever seen. There is something in this book for everyone. New auditors will find this book to be their bible-reading it will enable them to learn what the role of auditors really is and will convey to them what they must know, understand, and look for when performing audits. For experiencedauditors, this book will serve as a reality check to determine whether they are examining the right issues and whether they are being sufficiently comprehensive in their focus. Richard Cascarino has done a superb job." —E. Eugene Schultz, PhD, CISSP, CISM Chief Technology Officer and Chief Information Security Officer, High Tower Software A step-by-step guide tosuccessful implementation and control of information systems More and more, auditors are being called upon to assess the risks and evaluate the controls over computer information systems in all types of organizations. However, many auditors are unfamiliar with the techniques they need to know to efficiently and effectively determine whether information systems are adequately protected. Auditor's Guide to Information Systems Auditing presents an easy, practical guide for auditors that can be applied to all computing environments. As networks and enterprise resource planning systems bring resources together, and as increasing privacy violations threaten more organization, information systems integrity becomes more important than ever. With a complimentary student'sversion of the IDEA Data Analysis Software CD, Auditor's Guide to Information Systems Auditing empowers auditors to effectively gauge the adequacy and effectiveness of information systems controls.
Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.
In this thought-provoking volume, Eran Fisher interrogates the relationship between algorithms as epistemic devices and modern notions of subjectivity. Over the past few decades, as the instrumentalization of algorithms has created knowledge that informs our decisions, preferences, tastes, and actions, and the very sense of who we are, they have also undercut, and arguably undermined, the Enlightenment-era ideal of the subject. Fisher finds that as algorithms enable a reality in which knowledge is created by circumventing the participation of the self, they also challenge contemporary notions of subjectivity. Through four case-studies, this book provides an empirical and theoretical investigation of this transformation, analyzing how algorithmic knowledge differs from the ideas of critical knowledge which emerged during modernity – Fisher argues that algorithms create a new type of knowledge, which in turn changes our fundamental sense of self and our concept of subjectivity. This book will make a timely contribution to the social study of algorithms and will prove especially valuable for scholars working at the intersections of media and communication studies, internet studies, information studies, the sociology of technology, the philosophy of technology, and science and technology studies.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Are algorithms ruling the world today? Is artificial intelligence making life-and-death decisions? Are social media companies able to manipulate elections? As we are confronted with public and academic anxieties about unprecedented changes, this book offers a different analytical prism through which these transformations can be explored. Claudia Aradau and Tobias Blanke develop conceptual and methodological tools to understand how algorithmic operations shape the government of self and other. They explore the emergence of algorithmic reason through rationalities, materializations, and interventions, and trace how algorithmic rationalities of decomposition, recomposition, and partitioning are materialized in the construction of dangerous others, the power of platforms, and the production of economic value. The book provides a global trandisciplinary perspective on algorithmic operations, drawing on qualitative and digital methods to investigate controversies ranging from mass surveillance and the Cambridge Analytica scandal in the UK to predictive policing in the US, and from the use of facial recognition in China and drone targeting in Pakistan to the regulation of hate speech in Germany.
Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.
Continuous Auditing provides academics and practitioners with a compilation of select continuous auditing design science research, and it provides readers with an understanding of the underlying theoretical concepts of a continuous audit, ideas on how continuous audit can be applied in practice, and what has and has not worked in research.
“Taming the Algorithm” by Paweł Kuch deals with the EU's latest data protection law that is special in various respects. In contrast to the other norms of the GDPR, the provision on automated individual decisions (Art. 22 GDPR) does not contain any general specifications for the processing of personal data but regulates a specific constellation of such processing. Art. 22 GDPR is based on the assumption that making decisions by machines and algorithms is problematic and must therefore be legally framed and the final decision left to a data subject. With the recent developments in artificial intelligence (AI), numerous fields opened up. The question of the legal understanding of automated individual decisions has thus recently gained importance.
Cloud storage is an important service of cloud computing, which offers service for data owners to host their data in the cloud. This new paradigm of data hosting and data access services introduces two major security concerns. The first is the protection of data integrity. Data owners may not fully trust the cloud server and worry that data stored in the cloud could be corrupted or even removed. The second is data access control. Data owners may worry that some dishonest servers provide data access to users that are not permitted for profit gain and thus they can no longer rely on the servers for access control. To protect the data integrity in the cloud, an efficient and secure dynamic auditing protocol is introduced, which can support dynamic auditing and batch auditing. To ensure the data security in the cloud, two efficient and secure data access control schemes are introduced in this brief: ABAC for Single-authority Systems and DAC-MACS for Multi-authority Systems. While Ciphertext-Policy Attribute-based Encryption (CP-ABE) is a promising technique for access control of encrypted data, the existing schemes cannot be directly applied to data access control for cloud storage systems because of the attribute revocation problem. To solve the attribute revocation problem, new Revocable CP-ABE methods are proposed in both ABAC and DAC-MACS.