Edgeai For Algorithmic Government

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EdgeAI for Algorithmic Government

Rajan Gupta,Sanjana Das,Saibal Kumar Pal
EdgeAI for Algorithmic Government Book PDF

Author : Rajan Gupta,Sanjana Das,Saibal Kumar Pal
Publisher : Springer Nature
Page : 109 pages
File Size : 51,8 Mb
Release : 2023-03-26
Category : Political Science
ISBN : 9789811997983

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EdgeAI for Algorithmic Government by Rajan Gupta,Sanjana Das,Saibal Kumar Pal Pdf

The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

Introduction to Algorithmic Government

Rajan Gupta,Saibal Kumar Pal
Introduction to Algorithmic Government Book PDF

Author : Rajan Gupta,Saibal Kumar Pal
Publisher : Springer Nature
Page : 199 pages
File Size : 49,7 Mb
Release : 2021-03-22
Category : Political Science
ISBN : 9789811602825

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Introduction to Algorithmic Government by Rajan Gupta,Saibal Kumar Pal Pdf

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.

Algorithmic Reason

Claudia Aradau,Tobias Blanke
Algorithmic Reason Book PDF

Author : Claudia Aradau,Tobias Blanke
Publisher : Oxford University Press
Page : 289 pages
File Size : 50,5 Mb
Release : 2022-04-25
Category : Political Science
ISBN : 9780192675781

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Algorithmic Reason by Claudia Aradau,Tobias Blanke Pdf

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.

Government Use of Artificial Intelligence in New Zealand

Colin Gavaghan,Alistair Knott,James Maclaurin,John Zerilli,Joy Liddicoat
Government Use of Artificial Intelligence in New Zealand Book PDF

Author : Colin Gavaghan,Alistair Knott,James Maclaurin,John Zerilli,Joy Liddicoat
Publisher : Unknown
Page : 86 pages
File Size : 45,5 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 0473474425

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Government Use of Artificial Intelligence in New Zealand by Colin Gavaghan,Alistair Knott,James Maclaurin,John Zerilli,Joy Liddicoat Pdf

"This is the first major report from the Artificial Intelligence and the Law Project. The overall focus of the report is on the regulatory issues surrounding uses of artificial intelligence (AI) in New Zealand. There are many types of AI systems, and many spheres within which AI systems are used (in New Zealand and beyond). Phase 1 of the project focuses on regulatory issues surrounding the use of predictive AI models in New Zealand government departments. As discussed in the report, while there are many types of AI model, the concept of a “predictive model” picks out a reasonably well-defined class of models that share certain commonalities and are fairly well characterisable as a regulatory target. The report specifically focuses on the use of predictive models in the public sector because the researchers want to begin by discussing regulatory options in a sphere where the New Zealand Government can readily take action. New Zealand’s Government can relatively easily effect changes in the way its own departments and public institutions operate. The report identifies and discusses a number of primary concerns: Accuracy, Human control, Transparency and a right to reasons/explanations, Bias, fairness and discrimination, Privacy. Individual rights are vital for any democracy but exclusive reliance should not be placed on individual rights models that depend on affected parties holding predictive algorithms to account. Often, individuals will lack the resources to do so. Furthermore, individual rights models might offer limited efficacy in monitoring group harms. With regard to oversight and regulation, one of the key recommendations of the report is that Government should consider the establishment of a regulatory/oversight agency. Several possible models for the new regulatory agency are proposed in the report. The new regulator could serve a range of other functions, including: Producing best practice guidelines; Maintaining a register of algorithms used in government; Producing an annual public report on such uses; Conducting ongoing monitoring on the effects of these tools. The report indicates preference for a relatively “hard-edged” regulatory agency, with the authority to demand information and answers, and to deny permission for certain proposals. However, even a light-touch regulatory agency could serve an important function. The researchers stress the need for consultation with a wide range of stakeholders across New Zealand society, especially with populations likely to be affected by algorithmic decisions, and with those likely to be under-represented in construction and training. This is likely to include those in lower socio-economic classes, and Māori and Pacific Island populations. Quite simply, they are likely to have insights, concerns and perspectives that will not be available to even the most well-intentioned of outside observers."--Publisher's website.

Introduction to Metaverse

Rajan Gupta,Saibal K. Pal
Introduction to Metaverse Book PDF

Author : Rajan Gupta,Saibal K. Pal
Publisher : Springer Nature
Page : 184 pages
File Size : 46,5 Mb
Release : 2023-11-29
Category : Business & Economics
ISBN : 9789819973972

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Introduction to Metaverse by Rajan Gupta,Saibal K. Pal Pdf

This book discusses Metaverse Technology, which is one of the emerging technologies around the world, through its concepts, definitions, architectural layers, economic implications, and presents comparison points with other allied areas like Web 3.0, Digital Twin, Blockchain, Multiverse, Artificial Intelligence, Internet of Everything and Hyperautomation. The book also presents several use-cases and adoption areas of Metaverse technology, along with global outlook of top companies implementing this technology through major platforms and tools. The potential use of this technology for Public Sector is also explored in this book, apart from the suggested business framework for its adoption. Potential misuse and ethical concerns have also been summarised. This introductory book on Metaverse, written with a multidisciplinary approach, will provide readers with a clear understanding of what the Metaverse is, what technologies are involved in its creation, and its current as well as potential future applications, in a very simple manner.

Handbook of Research on Artificial Intelligence in Government Practices and Processes

Saura, Jose Ramon,Debasa, Felipe
Handbook of Research on Artificial Intelligence in Government Practices and Processes Book PDF

Author : Saura, Jose Ramon,Debasa, Felipe
Publisher : IGI Global
Page : 410 pages
File Size : 48,5 Mb
Release : 2022-03-18
Category : Computers
ISBN : 9781799896111

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Handbook of Research on Artificial Intelligence in Government Practices and Processes by Saura, Jose Ramon,Debasa, Felipe Pdf

In today’s global culture where the internet has established itself as a main tool of communication, the global system of economy and regulations, as well as data and decisions based on data analysis, have become essential for public actors and institutions. Governments need to be updated and use the latest technologies to understand what society’s demands are, and user behavioral data, which can be pulled by intelligent applications, can offer tremendous insights into this. The Handbook of Research on Artificial Intelligence in Government Practices and Processes identifies definitional perspectives of behavioral data science and what its use by governments means for automation, predictability, and risks to privacy and free decision making in society. Many governments can train their algorithms to work with machine learning, leading to the capacity to interfere in the behavior of society and potentially achieve a change in societal behavior without society itself even being aware of it. As such, the use of artificial intelligence by governments has raised concerns about privacy and personal security issues. Covering topics such as digital democracy, data extraction techniques, and political communications, this book is an essential resource for data analysts, politicians, journalists, public figures, executives, researchers, data specialists, communication specialists, digital marketers, and academicians.

Application of Artificial Intelligence in Government Practices and Processes

José Ramón Saura,Felipe Debasa
Application of Artificial Intelligence in Government Practices and Processes Book PDF

Author : José Ramón Saura,Felipe Debasa
Publisher : Unknown
Page : 128 pages
File Size : 40,9 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 1799896102

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Application of Artificial Intelligence in Government Practices and Processes by José Ramón Saura,Felipe Debasa Pdf

"This book identifies the main uses that governments make of artificial intelligence and outlines define citizens' concerns about their privacy, covering topics that are essential to understanding how governments should use artificial intelligence in their practices and processes"--

Recent Advances in Data and Algorithms for e-Government

Christophe Gaie,Mayuri Mehta
Recent Advances in Data and Algorithms for e Government Book PDF

Author : Christophe Gaie,Mayuri Mehta
Publisher : Springer
Page : 0 pages
File Size : 53,5 Mb
Release : 2024-03-16
Category : Computers
ISBN : 3031224108

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Recent Advances in Data and Algorithms for e-Government by Christophe Gaie,Mayuri Mehta Pdf

This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.

Preparing for the Future of Artificial Intelligence

Executive Office President,Megan Smith,National Science and on Technology
Preparing for the Future of Artificial Intelligence Book PDF

Author : Executive Office President,Megan Smith,National Science and on Technology
Publisher : Createspace Independent Publishing Platform
Page : 58 pages
File Size : 43,8 Mb
Release : 2017-03-12
Category : Electronic
ISBN : 1544643136

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Preparing for the Future of Artificial Intelligence by Executive Office President,Megan Smith,National Science and on Technology Pdf

Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors. A companion document lays out a strategic plan for Federally-funded research and development in AI. Additionally, in the coming months, the Administration will release a follow-on report exploring in greater depth the effect of AI-driven automation on jobs and the economy. The report was developed by the NSTC's Subcommittee on Machine Learning and Artificial Intelligence, which was chartered in May 2016 to foster interagency coordination, to provide technical and policy advice on topics related to AI, and to monitor the development of AI technologies across industry, the research community, and the Federal Government. The report was reviewed by the NSTC Committee on Technology, which concurred with its contents. The report follows a series of public-outreach activities spearheaded by the White House Office of Science and Technology Policy (OSTP) in 2016, which included five public workshops co-hosted with universities and other associations that are referenced in this report.

Explainable Edge AI: A Futuristic Computing Perspective

Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg
Explainable Edge AI A Futuristic Computing Perspective Book PDF

Author : Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg
Publisher : Springer Nature
Page : 187 pages
File Size : 51,8 Mb
Release : 2022-11-10
Category : Technology & Engineering
ISBN : 9783031182921

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Explainable Edge AI: A Futuristic Computing Perspective by Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg Pdf

This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.

Algorithmic Governance and Governance of Algorithms

Martin Ebers,Marta Cantero Gamito
Algorithmic Governance and Governance of Algorithms Book PDF

Author : Martin Ebers,Marta Cantero Gamito
Publisher : Springer
Page : 167 pages
File Size : 43,9 Mb
Release : 2020-10-09
Category : Law
ISBN : 3030505588

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Algorithmic Governance and Governance of Algorithms by Martin Ebers,Marta Cantero Gamito Pdf

Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics (“governance of algorithms”). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh
Artificial Intelligence in Healthcare Book PDF

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 51,9 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

AI at the Edge

Daniel Situnayake,Jenny Plunkett
AI at the Edge Book PDF

Author : Daniel Situnayake,Jenny Plunkett
Publisher : "O'Reilly Media, Inc."
Page : 540 pages
File Size : 40,7 Mb
Release : 2023-01-10
Category : Computers
ISBN : 9781098120160

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AI at the Edge by Daniel Situnayake,Jenny Plunkett Pdf

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products

The Democratization of Artificial Intelligence

Andreas Sudmann
The Democratization of Artificial Intelligence Book PDF

Author : Andreas Sudmann
Publisher : transcript Verlag
Page : 335 pages
File Size : 51,9 Mb
Release : 2019-10-31
Category : Social Science
ISBN : 9783839447192

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The Democratization of Artificial Intelligence by Andreas Sudmann Pdf

After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?

Practical Applications of Data Processing, Algorithms, and Modeling

Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha
Practical Applications of Data Processing Algorithms and Modeling Book PDF

Author : Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha
Publisher : IGI Global
Page : 334 pages
File Size : 44,7 Mb
Release : 2024-04-29
Category : Computers
ISBN : 9798369329108

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Practical Applications of Data Processing, Algorithms, and Modeling by Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha Pdf

In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.