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Organization And Governance Using Algorithms
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Book Synopsis Organization and Governance Using Algorithms by : Ioannis Avramopoulos
Download or read book Organization and Governance Using Algorithms written by Ioannis Avramopoulos and published by Emerald Group Publishing. This book was released on 2023-11-29 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avramopoulos offers a ground-breaking theory and application on organisational systems design, including discussions on organisational systems design requirements, such as productivity, emotion, and reward, the problems of unaccountability, including hierarchical delegation, and the benefits of accountable design.
Book Synopsis Organization and Governance Using Algorithms by : Ioannis Avramopoulos
Download or read book Organization and Governance Using Algorithms written by Ioannis Avramopoulos and published by Emerald Group Publishing. This book was released on 2023-11-29 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avramopoulos offers a ground-breaking theory and application on organisational systems design, including discussions on organisational systems design requirements, such as productivity, emotion, and reward, the problems of unaccountability, including hierarchical delegation, and the benefits of accountable design.
Book Synopsis Introduction to Algorithmic Government by : Rajan Gupta
Download or read book Introduction to Algorithmic Government written by Rajan Gupta and published by Springer Nature. This book was released on 2021-03-22 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is changing at a fast pace, so is the Government and Governance style. Humans are bound to go for Algorithmic strategies rather than manual or electronic ones in different domains. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies. It is an emerging concept introduced globally and will be considered revolutionary in the future. The book covers concepts, applications, progress status, and potential use-cases of Algorithmic Government. This book serves as introductory material for the readers from technology, public policy, administration, and management fields.
Book Synopsis Algorithmic Institutionalism by : Ricardo Fabrino Mendonca
Download or read book Algorithmic Institutionalism written by Ricardo Fabrino Mendonca and published by Oxford University Press. This book was released on 2023-11-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Institutionalism is the first book to conceive algorithms as institutions in contemporary societies, focusing on different dimensions of how they structure decision-making and enact power relations. In many situations in contemporary societies, algorithms structure social interactions, resulting in patterns of action and human behavior in collective contexts. Almeida, Filgueiras, and Mendonca discuss how algorithms are gradually occupying an institutional space in societies, deciding on different aspects of social life and shaping collective and individual human behaviors. As institutions, algorithms work as decision systems that define what is allowed, hindered, facilitated, or made impossible as well as positions within society's organizational structures. Algorithmic institutionalism uses the perspective of institutional theories to explain the functioning of these decision systems and how they establish patterns and norms that affect human behavior and lead to deep changes in contemporary society. The book points to the challenges of political orders that are gradually institutionalized with algorithms, comprising new dynamics of interaction between humans and machines. These disruptive dynamics of interaction between humans and machines create new challenges related to the democratization of algorithms and the impasses that emerge with technological advancement through digital technologies. Providing an analytical framework for an adequate comprehension of the social and political implications of algorithmic systems, Algorithmic institutionalism applies this framework to make sense of recommendation systems, the platformization of governments, and the deployment of algorithms in security. It then addresses the challenge of developing approaches to democratize the new political order influenced by the global expansion of algorithmic decision-making, pointing to key democratic values that are relevant once we consider the construction of legitimate decisions in contemporary societies.
Book Synopsis Algorithmic Regulation by : Karen Yeung
Download or read book Algorithmic Regulation written by Karen Yeung and published by . This book was released on 2019-09-05 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the power and sophistication of of "big data" and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectorsfrom healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justice system. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far fromclear that existing legal and other oversight mechanisms are up to the task.This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of "algorithmic regulation", understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through whichthe power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range ofcontributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence. Taken together, they highlight the rise of algorithmic power, the potential benefits and risks associated with this power, theway in which Sheila Jasanoff's long-standing claim that "technology is politics" has been thrown into sharp relief by the speed and scale at which algorithmic systems are proliferating, and the urgent need for wider public debate and engagement of their underlying values and value trade-offs, theway in which they affect individual and collective decision-making and action, and effective and legitimate mechanisms by and through which algorithmic power is held to account.
Book Synopsis The Everyday Life of an Algorithm by : Daniel Neyland
Download or read book The Everyday Life of an Algorithm written by Daniel Neyland and published by Springer. This book was released on 2018-12-17 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book begins with an algorithm–a set of IF...THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others.
Book Synopsis Algorithmic Governance by : Ignas Kalpokas
Download or read book Algorithmic Governance written by Ignas Kalpokas and published by Springer Nature. This book was released on 2019-10-15 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyses the changes to the regulation of everyday life that have taken place as a result of datafication, the ever-growing analytical, predictive, and structuring role of algorithms, and the prominence of the platform economy. This new form of regulation – algorithmic governance – ranges from nudging individuals towards predefined outcomes to outright structuration of behaviour through digital architecture. The author reveals the strength and pervasiveness of algorithmic politics through a comparison with the main traditional form of regulation: law. These changes are subsequently demonstrated to reflect a broader shift away from anthropocentric accounts of the world. In doing so, the book adopts a posthumanist framework which focuses on deep embeddedness and interactions between humans, the natural environment, technology, and code.
Book Synopsis Developing an Effective Artificial Intelligence Governance Framework by : Pedro Robles
Download or read book Developing an Effective Artificial Intelligence Governance Framework written by Pedro Robles and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public organizations are increasingly adopting Artificial Intelligence (AI) without proper public policies and governance frameworks, giving rise to significant ethical and legal concerns. For example, the utilization of AI for facial recognition in airport security systems has resulted in instances where innocent individuals are mistaken for criminals. Moreover, AI and machine learning algorithms are being employed to expedite the hiring process, but these algorithms often exhibit biases by excluding certain genders or discriminating based on race, ethnicity, or skin color. Public organizations have implemented AI to provide services like chatbots, virtual information assistants, and public safety information. However, there is a growing concern among experts, public organization leaders, and the general public regarding the risks and potential harm posed by AI algorithms, which can be biased and prejudiced. Existing AI governance frameworks in the literature have limitations in addressing the political environment of public organizations. This study aims to bridge this research gap by developing an appropriate AI governance framework that fulfills the requirements of public organizations. Conducting exploratory research guided by academic theories is vital to achieving this objective. The outcomes of this research can contribute to addressing public policy concerns and alleviating public apprehensions, thereby enabling the adoption of AI for public service delivery. The proposed research will take a pragmatic approach and present an opportunity to further expand the epistemology of academic research. The initial challenge lies in the wide array of AI technologies that are labeled differently, such as machine learning, artificial neural networks, genetic algorithms, and natural language processing. Despite the numerous advancements and contributions of AI to public services, challenges have arisen in policymaking, defining the appropriate technology for public policy, and establishing aligned AI governance methods. Policymakers face specific issues that hinder their ability to develop suitable policies, grapple with fundamental concepts and definitions, and create laws that are adaptable to diverse AI environments. Chapter 2 delves into the complexity of algorithms, making them challenging to comprehend, particularly since many applications are new to the public sector. Governments across the globe are struggling with how to regulate rapidly emergent AI technology without stifling innovation. Scholars of AI governance have been likewise working in a fragmented manner to develop a theoretical framework to guide their work and inform government practice. These frameworks can serve as catalysts for researching the most effective AI governance strategies and as models for regulators. To foster a cohesive research program on AI governance, this systematic review identifies and examines each framework developed by researchers. This systematic review identifies 10 different frameworks that have emerged. While each is imbued with context, shared principles for AI governance can be identified. This review synthesizes these frameworks and offers a Unified AI Governance Framework that contains a set of core and peripheral principles which can guide a less fragmented research program. While Chapter 2 establishes an appropriate governance framework that promotes the credibility of public organizations and reinforces public trust in the government to harness the benefits and address the challenges of AI, Chapter 3 expands on the importance of public trust in AI algorithms. Advancement in information technology continues to evolve especially in the field of artificial intelligence (AI). Research studies have been conducted to evaluate the perceptions of Americans on the development and utilization of AI technology and if it is appropriate to use AI in public administrative duties. The research revealed that society is fragmented regarding the acceptance of AI, and whether AI decisions could have long term effects on the labor industry, legal system, and national security. The 2018 AI Public Opinion Survey revealed significant concerns among the American public regarding AI, yet also a recognition of its promise. The goal of this article is to further develop a governance framework for AI that considers the place of the public in AI policy. First, it presents an AI governance framework that pulls together disparate strands of other proposed frameworks. Then, highlighting the importance of public trust and support, it evaluates public opinion on AI technology that specifically pertains to governance. The article concludes with a discussion of future directions for AI governance research. Chapter 3 argues that public trust should be at the center of discussions on AI governance. It does so by highlighting public concerns regarding AI governance drawn from a national sample survey. Chapter 4 examines current public policy surrounding autonomous vehicle (AV) policies across state governments in the United States, with a particular focus on public policy diffusion. Notably, AVs have the potential to significantly enhance various sectors of the U.S. transportation industry, including trucking, public transportation, and other public services (i.e., food delivery and mail). A mixed methods study is conducted to better understand AV policy development and implementation. The quantitative research collected AV policy data from the National Council of State Legislature (NCSL) database, providing a solid foundation for a comprehensive mixed methods analysis. Additionally, qualitative data was gathered through interviews to obtain deeper insights. These interviews proved valuable in capturing information about the learning mechanisms that operate across various levels of government and domains, highlighting the crucial role of fostering policy learning between state governments and stakeholders. The analysis of interview transcripts was then compared with the quantitative data results, enabling a thorough exploration of AV policy development and implementation. The combined mixed research using qualitative and quantitative methods offers a robust understanding of how policymakers collaborate within and across states on AV policy, shedding light on policy diffusion mechanisms and contributing to the effective implementation of policies. In conclusion, this chapter presents comprehensive mixed research results that can assist academic researchers and practitioners address complex policy problems associated with autonomous vehicle policy, enabling them to adapt to changing circumstances and achieve desired policy outcomes.
Book Synopsis Evaluating Algorithmic Regulation Policies by : Carolyn Gideon
Download or read book Evaluating Algorithmic Regulation Policies written by Carolyn Gideon and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term 'algorithmic governance' has two meanings in the policy debate and existing literature: (1) the role of algorithms in governing our lives, and (2) the governance of the algorithms. Algorithms govern our lives both explicitly and implicitly. Explicitly, the public sector and governance institutions use algorithms, often outsourced to contractors, to fulfill their missions, such as allocating policing resources and determining prison sentencing. Implicitly, they govern many aspects of our lives, such as the shape of discourse in our digital public sphere, qualifications for loans, insurance premiums, employment eligibility, movie recommendations, the routes we drive to work, airline fares, college admissions, and more. With our lives increasingly shaped by digital platforms of social media and search engines, these opaque private-sector algorithms may govern our lives more than the laws of our governments (MacKinnon 2013). The harms of these governing algorithms in the context of public sector and private sector use have been well documented (e.g. O'Neil 2016, Noble 2018). These algorithms, lacking transparency and legitimacy, sometimes violate existing laws. This presents a situation where we must think through how to extend governance to be sure laws are maintained when algorithms are used, i.e. the second meaning of algorithmic governance. This paper attempts to increase our understanding of how to govern algorithms by exploring incentives and effects of different policies on how algorithms and AI are developed and deployed. Several countries have begun to introduce regulations of algorithms and AI. However, these laws are still in their fledgling state and may have unintended consequences. Such policies face critical challenges, including information and expertise asymmetry, the dynamic nature of the algorithms and their use, and sheer volume. While there has been a great deal of helpful legal scholarship exploring this issue, this paper provides necessary economic analysis clarifying the incentives created for different parties by the policy options by evaluating recent and proposed policies on several criteria, including (1) incentives for firms and other entities to comply, (2) effectiveness in governance (including monitoring and enforcement), (3) minimization of obstacles to innovation (by potential entrants as well as incumbents), and (4) balance of Type I vs Type II errors. We use theoretic modeling of games between platforms and regulators, between platforms and users, between algorithm developers and implementers, and multiplayer games between users to identify incentives and outcomes under different proposed governance structures and in different contexts. We will test the results of these models with empirical evidence from trials of such policies where they exist, and similar regulation of other industries where they do not. We will evaluate several major proposed policies, including aspects of the EU Artificial Intelligence Act, the US Algorithmic Accountability Act, and the proposed FDA model of pre-market testing and evaluation. We also introduce and evaluate an alternative model based on accounting audits of corporate financial statements for legal compliance. The paper contributes a better understanding of the tradeoffs between regulatory policy options based on economic analysis.
Book Synopsis Ethics and governance of artificial intelligence for health: large multi-modal models. WHO guidance by : World Health Organization
Download or read book Ethics and governance of artificial intelligence for health: large multi-modal models. WHO guidance written by World Health Organization and published by World Health Organization. This book was released on 2024-01-18 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) refers to the capability of algorithms integrated into systems and tools to learn from data so that they can perform automated tasks without explicit programming of every step by a human. Generative AI is a category of AI techniques in which algorithms are trained on data sets that can be used to generate new content, such as text, images or video. This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in health care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.
Book Synopsis The Digital Governance Handbook for CEOs and Governing Boards (2nd Ed.) by : Malcolm Thatcher
Download or read book The Digital Governance Handbook for CEOs and Governing Boards (2nd Ed.) written by Malcolm Thatcher and published by Blurb. This book was released on 2024-07-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips Board members and C-suite executives with competencies in IT governance. The book will help organizations to navigate the complex path of IT investment and digital transformation. Understanding how to ask the right questions will help your organization avoid or reduce the risk of failure.
Book Synopsis MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E by : Alex Berson
Download or read book MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E written by Alex Berson and published by McGraw Hill Professional. This book was released on 2010-12-06 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance
Download or read book Data Governance written by Evren Eryurek and published by . This book was released on 2021 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.
Book Synopsis Blockchain and the Law by : Primavera De Filippi
Download or read book Blockchain and the Law written by Primavera De Filippi and published by Harvard University Press. This book was released on 2018-04-09 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Blockchains will matter crucially; this book, beautifully and clearly written for a wide audience, powerfully demonstrates how.” —Lawrence Lessig “Attempts to do for blockchain what the likes of Lawrence Lessig and Tim Wu did for the Internet and cyberspace—explain how a new technology will upend the current legal and social order... Blockchain and the Law is not just a theoretical guide. It’s also a moral one.” —Fortune Bitcoin has been hailed as an Internet marvel and decried as the preferred transaction vehicle for criminals. It has left nearly everyone without a computer science degree confused: how do you “mine” money from ones and zeros? The answer lies in a technology called blockchain. A general-purpose tool for creating secure, decentralized, peer-to-peer applications, blockchain technology has been compared to the Internet in both form and impact. Blockchains are being used to create “smart contracts,” to expedite payments, to make financial instruments, to organize the exchange of data and information, and to facilitate interactions between humans and machines. But by cutting out the middlemen, they run the risk of undermining governmental authorities’ ability to supervise activities in banking, commerce, and the law. As this essential book makes clear, the technology cannot be harnessed productively without new rules and new approaches to legal thinking. “If you...don’t ‘get’ crypto, this is the book-length treatment for you.” —Tyler Cowen, Marginal Revolution “De Filippi and Wright stress that because blockchain is essentially autonomous, it is inflexible, which leaves it vulnerable, once it has been set in motion, to the sort of unforeseen consequences that laws and regulations are best able to address.” —James Ryerson, New York Times Book Review
Book Synopsis The Human Element of Big Data by : Geetam S. Tomar
Download or read book The Human Element of Big Data written by Geetam S. Tomar and published by CRC Press. This book was released on 2016-10-26 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.
Book Synopsis Data Governance: The Definitive Guide by : Evren Eryurek
Download or read book Data Governance: The Definitive Guide written by Evren Eryurek and published by "O'Reilly Media, Inc.". This book was released on 2021-03-08 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.
Book Synopsis Research Handbook on Artificial Intelligence and Decision Making in Organizations by : Ioanna Constantiou
Download or read book Research Handbook on Artificial Intelligence and Decision Making in Organizations written by Ioanna Constantiou and published by Edward Elgar Publishing. This book was released on 2024-03-14 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.
