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Ahmed the Philosopher: Thirty-Four Short Plays for Children and Everyone Else
by Alain BadiouEnglish-speaking readers might be surprised to learn that Alain Badiou writes fiction and plays along with his philosophical works and that they are just as important to understanding his larger intellectual project. In Ahmed the Philosopher, Badiou's most entertaining and accessible play, translated into English here for the first time, readers are introduced to Badiou's philosophy through a theatrical tour de force that has met with much success in France. <P><P> Ahmed the Philosopher presents its comic hero, the "treacherous servant" Ahmed, as a seductively trenchant philosopher even as it casts philosophy itself as a comic performance. The comedy unfolds as a series of lessons, with each "short play" or sketch illuminating a different Badiousian concept. Yet Ahmed does more than illustrate philosophical abstractions; he embodies and vivifies the theatrical and performative aspects of philosophy, mobilizing a comic energy that exposes the emptiness and pomp of the world. Through his example, the audience is moved to a living engagement with philosophy, discovering in it the power to break through the limits of everyday life.
Ahorradoras: 101 trucos para ahorrar ¡Y vivir mejor que nunca!
by Maria Pilar Amela Gasulla101 trucos para ahorrar ¡Y vivir mejor que nunca! Ahorrar no significa renunciar al bienestar, sino conseguirlo por menos dinero. Los 101 trucos de este libro te ayudarán a tomar las riendas de tu economía doméstica de forma muy sencilla, pero con grandes resultados. Aprenderemos a manejar inteligentemente nuestro dinero, pero también nuestro espacio y nuestro tiempo. Entiendo el ahorro como una vía para alcanzar la felicidad y deseo que disfrutemos juntas de este aprendizaje cuya meta es nuestra libertad financiera. ¿Sabes qué es lo mejor? Esa libertad, además, se traduce en tiempo para nosotras mismas.
AI and Chatbots in Fintech: Revolutionizing Digital Experiences and Predictive Analytics (Contributions to Finance and Accounting)
by Gioia ArnoneThis book is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, including its history and current state and the role of chatbots in FinTech and how they are used to improve customer service. Furthermore, the book explores the business framework of AI-based ChatGPT in FinTech, including the technology behind ChatGPT and how it can be applied to various financial sectors. The book examines the use of predictive analytics and machine learning in FinTech, highlighting how these tools are used to predict customer behavior and improve decision-making. The author delves into how ChatGPT is used to determine buying behavior and discusses the use of machine learning to reshape the digital experience in FinTech. Additionally, the book provides best practices for retaining customers in FinTech, including how to use AI to create personalized experiences that keep customers coming back, and explores the different applications of predictive models in FinTech, including how they are used to improve risk management and fraud detection. Lastly, the book discusses the use of ChatGPT for stock price prediction and the detection of financial fraud and examines the role of ChatGPT in the world of cryptocurrency, including how it can be used to make informed investment decisions. Overall, this book provides a comprehensive overview of the different ways AI is being used in FinTech and the potential it holds for improving customer experiences and driving innovation in the financial industry.
AI and Law: How Automation is Changing the Law (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Aurelia Tamo-Larrieux Clement Guitton Simon MayerThis book provides insights into how AI is changing legal practice, government processes, and individuals’ access to those processes, encouraging each of us to consider how technological advances are changing the legal system. Particularly, and distinct from current debates on how to regulate AI, this books focuses on how the progressive merger between computational methods and legal rules changes the very structure and application of the law itself.We investigate how automation is changing the legal analysis, legal rulemaking, legal rule extraction, and application of legal rules and how this impacts individuals, policymakers, civil servants, and society at large. We show through many examples that a debate on how automation is changing the law is needed, which must revolve around the democratic legitimacy of the automation of legal processes, and be informed by the technical feasibility and tradeoffs of specific endeavors.
AI and Legal Education: Ethical and Sustainable Approaches (Routledge Research in the Law of Emerging Technologies)
by Anil BalanThis book provides a comprehensive interdisciplinary analysis of the sustainable and ethical integration of artificial intelligence (AI) within legal education, offering practical strategies for balancing innovation with ethical responsibility. Discussing the intersection of legal studies, technology and ethics, the book focuses on AI's role in reshaping professional education.With the rising demand for digital transformation in legal education and the increasing scrutiny of AI's ethical impact, this book explores the potential of AI to enhance legal learning and practice, while critically examining the challenges of data privacy, algorithmic bias and equitable access to technology. Outlining a framework for incorporating AI into the law curriculum, the book equips the readers with both cutting-edge technological skills and a deep understanding of AI’s ethical and societal implications. Drawing on a wide range of sources, including industry data and academic research, the book offers grounded, actionable guidance on implementing AI in a way that promotes inclusivity, sustainability and long-term relevance. It addresses the needs of legal education institutions, faculty and students, providing them with the tools to navigate the evolving legal landscape while maintaining ethical standards.The book will also be of interest to researchers in the fields of law, education and AI ethics.
AI and Society: Tensions and Opportunities (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Christo El MorrAI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.
AI and the Boardroom: Insights into Governance, Strategy, and the Responsible Adoption of AI
by Rohan SharmaDevelop and implement AI strategies aligned with business goals, including operating models and partnership strategies. This book is practical guide for chief experience officers and other corporate board members faced with the complex issues of AI governance, data privacy, AI regulations, AI copyright, AI strategy, and more. Executives are eager to hear from other executives, peers, and authority figures regarding AI matters, and how to approach them quickly, correctly and meaningfully. The cost of missing out or messing up in AI transformation is easy so it’s imperative that C-suite and board members have the right mental framework to ask the right questions for their organizations. Throughout this book, you’ll see how to develop and execute AI strategies that align with your organizational goals and ethical standards. You’ll navigate the complex landscape of AI regulation and governance, applying best practices to ensure compliance and protect stakeholder interests. You’ll also, understand how to innovate and adapt AI technologies within your operations. AI and the Boardroom provides all the right tools to guide decision-making, foster partnerships, and enhance customer experiences What You Will Learn Master AI governance, regulations, and ethical considerations, including privacy and intellectual property issues. Optimize AI investments, budgets, and ROI through effective KPIs, OKRs, and risk management. Navigate organizational changes brought by AI, including executive compensation, team structures, and change management. Leverage AI for board-level decision-making while advancing organizational AI maturity and staying ahead of emerging trends. Who This Book Is For Suite executives and corporate board members; technology and innovation leaders; risk management and compliance professionals; corporate strategists and business unit leaders; AI program managers and data scientists
AI and the Humanistic Organization: Technology and Barriers to Human Flourishing (Humanism in Business Series)
by John W. Murphy Carlos Largacha-MartinezMany workers already report that they are alienated from their jobs and find their workplaces to be stifling or uninviting and expect that the introduction of new technologies, including AI, will only worsen their organizational culture. This book outlines the need for a humane and responsible approach to technology, so that employees are not further disengaged from the workplace. This shift in approach should mean that when AI is introduced into an organization, workers have a central role in the design, implementation, and evaluation of this technology. Computer technology can thus promote human flourishing instead of contributing to alienation and security in workplaces. This book is a throwback to a time when high theory was an important part of discussions about computer technology. It brings together diverse disciplines to interrogate some important issues facing the development and application of AI, ultimately concluding that this technology is currently being guided by the wrong theory and a humanistic perspective is needed to access its full potential. The ideas presented will be of great interest to scholars and students of AI who focus on the workplace, organizational behavior, and business ethics.
AI and the Law: A Practical Guide to Using Artificial Intelligence Safely
by Harry BorovickLearn how to maximize your use of, and benefit from AI, personally and professionally while staying safe. To satisfy professionals and businesses trying to modernize their approaches to work and personal tasks, this book will explain some of the basics of what AI is, what AI is likely to look like in the near future, and how not to get stung using it. You’ll quickly realize that AI isn’t coming, it’s here, along with its opportunities and challenges. While some of the advantages of using AI tools may seem too good to be true, you’ll discover that the key to navigating the early stages of the AI era is to understand its guiding principles and then to prioritize the guidelines. The book features general situations and use cases to help you experience AI for fun and for work while retaining the benefits, profits, creations, outputs, and efficiencies of it. If you’re going to use AI in your daily career, whether as a student, creative, executive, marketer or in sales this book will help you understand how to bypass obstacles and get value from AI with the guidance of an AI and tech lawyer. What You Will Learn Identify, debunk, and protect against business and legal risk in the AI eraDiscuss these issues on a high level with CTOs and COOsSee how professionals can mutually use AI to their benefit Who This Book is For Anyone who wants to know whether AI is really going to change the world through the lens of their industry, or to simply understand how AI can be safely harnessed to maximize daily value while minimizing practical risks.
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
by Emily M. Bender Alex HannaA smart, incisive look at the technologies sold as artificial intelligence, the drawbacks and pitfalls of technology sold under this banner, and why it’s crucial to recognize the many ways in which AI hype covers for a small set of power-hungry actors at work and in the world. Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything?The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.” Hype looks and smells fishy: It twists words and helps the rich get richer by justifying data theft, motivating surveillance capitalism, and devaluing human creativity in order to replace meaningful work with jobs that treat people like machines. In The AI Con, Bender and Hanna offer a sharp, witty, and wide-ranging take-down of AI hype across its many forms.Bender and Hanna show you how to spot AI hype, how to deconstruct it, and how to expose the power grabs it aims to hide. Armed with these tools, you will be prepared to push back against AI hype at work, as a consumer in the marketplace, as a skeptical newsreader, and as a citizen holding policymakers to account. Together, Bender and Hanna expose AI hype for what it is: a mask for Big Tech’s drive for profit, with little concern for who it affects.
AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws
by Max ParasolThe book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws (as part of Network Sovereignty policies) affect innovation in artificial intelligence (AI). The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the Cyber Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation.
AI-enabled Price Discrimination: A Competition Law and Economics Perspective (Economic Analysis of Law in European Legal Scholarship #18)
by Qian LiThis book addresses the question of how to tackle AI-enabled price discrimination (AIPD), which is commonly used in digital markets and can negatively impact competition and consumers. It explores the economic rationale behind AIPD, compares its assessment under EU and Chinese competition law and beyond, evaluates current legal regimes on AIPD from a comparative law and economics perspective, and provides policy recommendations to those jurisdictions for approaching AIPD as an infringement of competition law and beyond. Since the protection of free competition and consumer welfare are objectives of competition law in both the EU and China, two major jurisdictions, there seems to be a legal basis for competition law intervention. This book offers competition authorities guidance on how to tackle anticompetitive AIPD. Given that AIPD takes place in competitive and monopolistic markets, competition law alone is inadequate to fully address the potential concerns. This book, therefore, also examines other possibilities. Legislation on data protection, consumer protection and business regulation can contribute to tackling AIPD in different phases: (1) collection and processing of consumer data, (2) prediction of the consumer’s willingness to pay, and (3) application of discriminatory pricing in digital markets. As such, this work also offers insights to help the relevant authorities (i.e., those responsible for data protection, consumer protection and business regulation) tackle welfare-reducing AIPD in digital markets. This book will be of interest to academics, practitioners, policymakers, enforcers and consumers. It offers theoretical guidance for the relevant authorities (such as competition agencies, courts and regulators), practitioners and consumers, helping them understand the economic rationale behind AIPD, and provides suggestions to tackle anticompetitive and welfare-reducing AIPD in digital markets from a comparative law and economics perspective.
AI Ethics: A Textbook (Artificial Intelligence: Foundations, Theory, and Algorithms)
by Paula BoddingtonThis book introduces readers to critical ethical concerns in the development and use of artificial intelligence. Offering clear and accessible information on central concepts and debates in AI ethics, it explores how related problems are now forcing us to address fundamental, age-old questions about human life, value, and meaning. In addition, the book shows how foundational and theoretical issues relate to concrete controversies, with an emphasis on understanding how ethical questions play out in practice. All topics are explored in depth, with clear explanations of relevant debates in ethics and philosophy, drawing on both historical and current sources. Questions in AI ethics are explored in the context of related issues in technology, regulation, society, religion, and culture, to help readers gain a nuanced understanding of the scope of AI ethics within broader debates and concerns. Written with both students and educators in mind, the book is easy to use, with key terms clearly explained, and numerous exercises designed to stretch and challenge. It offers readers essential insights into the evolving field of AI ethics. Moreover, it presents a range of methods and strategies that can be used to analyse and understand ethical questions, which are illustrated throughout with case studies.
AI Ethics (The MIT Press Essential Knowledge series)
by Mark CoeckelberghAn accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.
AI, Ethics, and Discrimination in Business: The DEI Implications of Algorithmic Decision-Making (Palgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business)
by Marco MarabelliThis book takes a historical approach to explore data, algorithms, their use in practice through applications of AI in various settings, and all of the surrounding ethical and DEI implications. Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research in various settings, such as healthcare, social media, and the GIG economy.The author investigates how systems relying on a binary structure (machines) work in systems that are instead analogic (societies). Further, he examines how underrepresented populations, who have been historically penalized by technologies, can play an active role in the design of automated systems, with a specific focus on the US legal and social system.One issue is that main tasks of machines concern classification, which, while efficient for speeding up decision-making processes, are inherently biased. Ultimately, this work advocates for ethical design and responsible implementation and deployment of technology in organizations and society through through government-sponsored social justice, in contrast with free market policies.This interdisciplinary text contributes to the timely and relevant debate on algorithmic fairness, biases, and potential discriminations. It will appeal to researchers in business ethics and information systems while building on theories from anthropology, psychology, sociology, management, marketing, and economics.
AI Ethics and Governance: Black Mirror and Order
by Zhiyi Liu Yejie ZhengThis book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought.In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.
AI Ethics in Higher Education: Insights from Africa and Beyond (SpringerBriefs in Ethics)
by Caitlin C. Corrigan Simon Atuah Asakipaam Jerry John Kponyo Christoph LuetgeThis open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.
AI for Diversity (AI for Everything)
by Roger A. SøraaArtificial intelligence (AI) is increasingly impacting many aspects of people’s lives across the globe, from relatively mundane technology to more advanced digital systems that can make their own decisions. While AI has great potential, it also holds great peril depending on how it is designed and used. AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups in society. The way data is selected, trained, used, and embedded into societies can have unfortunate consequences unless we critically investigate the dangers of systems left unchecked, and can lead to misogynistic, homophobic, racist, ageist, transphobic, or ableist outcomes. This book encourages the reader to take a step back to see how AI is impacting diverse groups of people and how diversity-awareness strategies can impact AI.
AI for Healthcare Robotics (AI for Everything)
by Eduard Fosch-Villaronga Hadassah DrukarchWhat is artificial intelligence (AI)? What is healthcare robotics? How can AI and healthcare robotics assist in contemporary medicine? Robotics and AI can offer society unimaginable benefits, such as enabling wheelchair users to walk again, performing surgery in a highly automated and minimally invasive way, and delivering care more efficiently. AI for Healthcare Robotics explains what healthcare robots are and how AI empowers them in achieving the goals of contemporary medicine.
AI For Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers
by Noah Waisberg Alexander HudekDiscover how artificial intelligence can improve how your organization practices law with this compelling resource from the creators of one of the world’s leading legal AI platforms. AI for Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers explains how artificial intelligence can be used to revolutionize your organization’s operations. Noah Waisberg and Dr. Alexander Hudek, a lawyer and a computer science Ph.D. who lead prominent legal AI business Kira Systems, have written an approachable and insightful book that will help you transform how your firm functions. AI for Lawyers explains how artificial intelligence can help your law firm: Win more business and find more clients Better meet and exceed client expectations Find hidden efficiencies Better manage and eliminate risk Increase associate and partner engagement Whether focusing on small or big law, AI for Lawyers is perfect for any lawyer who either feels uneasy about how AI might change law or is looking to capitalize on the evolving practice. With contributions from experts in the fields of e-Discovery, legal research, expert systems, and litigation analytics, it also belongs on the bookshelf of anyone who’s interested in the intersection of law and technology.
AI for Scientific Discovery (AI for Everything)
by Janna HastingsAI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation in the context of what is called ‘data science’. AI is also helping to combat the reproducibility crisis in scientific research by underpinning the discovery process with AI-enabled standards and pipelines and supporting the management of large-scale data and knowledge resources so that they can be shared and integrated and serve as a background ‘knowledge ecosystem’ into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded and thus should not be blindly trusted. The latest generation of hybrid and ‘human-in-the-loop’ AI technologies have as their objective a balance between human inputs and insights and the power of number-crunching and statistical inference at a massive scale that AI technologies are best at.
AI for the Good: Artificial Intelligence and Ethics (Management for Professionals)
by Stefan H. ViewegWhile technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.
AI in eHealth: Human Autonomy, Data Governance and Privacy in Healthcare (Cambridge Bioethics and Law)
by Marcelo Corrales Compagnucci Michael Lowery Wilson Mark Fenwick Nikolaus Forǵ Till BärnighausenThe emergence of digital platforms and the new application economy are transforming healthcare and creating new opportunities and risks for all stakeholders in the medical ecosystem. Many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor diseases and other health conditions. A broad range of medical, ethical and legal knowledge is now required to navigate this highly complex and fast-changing space. This collection brings together scholars from medicine and law, but also ethics, management, philosophy, and computer science, to examine current and future technological, policy and regulatory issues. In particular, the book addresses the challenge of integrating data protection and privacy concerns into the design of emerging healthcare products and services. With a number of comparative case studies, the book offers a high-level, global, and interdisciplinary perspective on the normative and policy dilemmas raised by the proliferation of information technologies in a healthcare context.
The AI Revolution: How Technological Developments Affect the Audiovisual Sector (Research Series on Responsible Enterprise Ecosystems)
by Antonio Baraybar-Fernández Sandro Arrufat-Martín Belén Díaz DíazThis book presents an overview of the vast landscape of artificial intelligence (AI) in the media industry, more specifically in the audiovisual sector.Readers are guided through the fundamental pillars of AI, from machine learning algorithms to advanced neural networks, revealing the technological foundations that drive innovation in the field of communication and media. The possibilities of AI in this area are explored and discussed with real case studies. The book highlights not only the technological developments, but also the ethical dilemmas that arise. From privacy issues to equity in access to education, the book provides a comprehensive view of the challenges that must be addressed to ensure the ethical and sustainable development of artificial intelligence. Altogether, this book illuminates how AI continues to transform the way we communicate, learn, and relate to technology.
AICPA Professional Standards 2019, Volumes 1 and 2: Cch#04585404 (AICPA)
by AICPAUpdated as of July 1, 2019, this two-volume set is a comprehensive source of professional standards and interpretations issued by the AICPA, such as auditing and attestation, accounting and review services pronouncements, along with the AICPA Code of Professional Conduct and Bylaws. Standards and related interpretations, to help you apply the standards in specific circumstances, are arranged by subject with amendments noted, superseded portions deleted, and conforming changes reflected. New to this edition: Statement on Auditing Standards (SAS) No. 134, Auditor Reporting and Amendments, Including Amendments Addressing Disclosures in the Audit of Financial Statements SAS No. 135, Omnibus Statement on Auditing Standards—2019 SAS No. 136, Forming an Opinion and Reporting on Financial Statements of Employee Benefit Plans Subject to ERISA SAS No. 137, The Auditor's Responsibilities Relating to Other Information Included in Annual Reports Statement on Standards for Forensic Services No. 1, Statement on Standards for Forensic Services