Ai Risk Management Analysis And Assessment
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Ai Risk Management Analysis And Assessment
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Ai Risk Management Analysis And Assessment written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides a comprehensive exploration of AI risk management, addressing foundational concepts, advanced analysis methodologies, assessment frameworks, governance models, industry-specific applications, and future challenges. Beginning with the fundamentals, it clarifies key definitions and classifications of AI risks, differentiates risk from uncertainty, and examines historical lessons. It categorizes risks across technical, ethical, economic, and environmental dimensions, emphasizing the evolving lifecycle of AI risk from design through deployment and continuous monitoring. The discussion advances into rigorous risk analysis techniques, combining quantitative and qualitative approaches such as probabilistic risk assessment, scenario simulation, and bias audits. AI-specific modeling techniques including causal networks, Monte Carlo simulations, and agent-based models are explored, highlighting tools to detect and mitigate bias and fairness issues while improving explainability. Frameworks and standards like NIST AI RMF, ISO/IEC guidelines, and OECD principles provide structured approaches to risk assessment, while operational practices and toolkits integrate risk considerations directly into AI development pipelines. Governance sections detail internal structures, accountability mechanisms, and legal challenges including cross-border compliance, data protection, and liability. Third-party and supply chain risks emphasize the complexity of AI ecosystems. Industry-focused chapters explore sector-specific risks in healthcare, finance, and defense, illustrating practical applications and regulatory requirements. Finally, the book addresses emerging risks from generative AI, autonomous agents, and AI-enhanced cyber threats, as well as the profound challenges posed by AGI. It advocates for resilience engineering, human-centered design, and multi-stakeholder governance to build trustworthy AI and ensure responsible innovation in an uncertain future.
Disrupting Finance
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Author : Theo Lynn
language : en
Publisher: Palgrave Pivot
Release Date : 2018-12-19
Disrupting Finance written by Theo Lynn and has been published by Palgrave Pivot this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Business & Economics categories.
This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.
Measuring And Managing Information Risk
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Author : Jack Freund
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-08-23
Measuring And Managing Information Risk written by Jack Freund and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-23 with Computers categories.
Using the factor analysis of information risk (FAIR) methodology developed over ten years and adopted by corporations worldwide, Measuring and Managing Information Risk provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity. Intended for organizations that need to either build a risk management program from the ground up or strengthen an existing one, this book provides a unique and fresh perspective on how to do a basic quantitative risk analysis. Covering such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, Measuring and Managing Information Risk helps managers make better business decisions by understanding their organizational risk. - Uses factor analysis of information risk (FAIR) as a methodology for measuring and managing risk in any organization. - Carefully balances theory with practical applicability and relevant stories of successful implementation. - Includes examples from a wide variety of businesses and situations presented in an accessible writing style.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
The Master Algorithm
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Author : Pedro Domingos
language : en
Publisher: Hachette UK
Release Date : 2015-09-22
The Master Algorithm written by Pedro Domingos and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-22 with Computers categories.
Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
Artificial Intelligence And The Law
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Author : Jan De Bruyne
language : en
Publisher: Intersentia
Release Date : 2021-01-18
Artificial Intelligence And The Law written by Jan De Bruyne and has been published by Intersentia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-18 with categories.
Artificial intelligence (AI) is becoming increasingly more prevalent in our daily social and professional lives. Although AI systems and robots bring many benefits, they present several challenges as well. The autonomous and opaque nature of AI systems implies that their commercialisation will affect the legal and regulatory framework.0In this comprehensive book, scholars critically examine how AI systems may impact Belgian law. It contains contributions on consumer protection, contract law, liability, data protection, procedural law, insurance, health, intellectual property, arbitration, lethal autonomous weapons, tax law, employment law, ethics,?While specific topics of Belgian private and public law are thoroughly addressed, the book also provides a general overview of a number of regulatory and ethical AI evolutions and tendencies in the European Union. Therefore, it is a must-read for legal scholars, practitioners and government officials as well as for anyone with an interest in law and AI.
Artificial Intelligence In Construction Engineering And Management
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Author : Limao Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-06-18
Artificial Intelligence In Construction Engineering And Management written by Limao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Technology & Engineering categories.
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Information Security Risk Assessment Toolkit
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Author : Mark Talabis
language : en
Publisher: Newnes
Release Date : 2012-10-26
Information Security Risk Assessment Toolkit written by Mark Talabis and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-26 with Business & Economics categories.
In order to protect company's information assets such as sensitive customer records, health care records, etc., the security practitioner first needs to find out: what needs protected, what risks those assets are exposed to, what controls are in place to offset those risks, and where to focus attention for risk treatment. This is the true value and purpose of information security risk assessments. Effective risk assessments are meant to provide a defendable analysis of residual risk associated with your key assets so that risk treatment options can be explored. Information Security Risk Assessment Toolkit gives you the tools and skills to get a quick, reliable, and thorough risk assessment for key stakeholders. Based on authors' experiences of real-world assessments, reports, and presentations Focuses on implementing a process, rather than theory, that allows you to derive a quick and valuable assessment Includes a companion web site with spreadsheets you can utilize to create and maintain the risk assessment
Managing The Continuum Certainty Uncertainty Unpredictability In Large Engineering Projects
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Author : Franco Caron
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-24
Managing The Continuum Certainty Uncertainty Unpredictability In Large Engineering Projects written by Franco Caron and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-24 with Technology & Engineering categories.
The brief will describe how to develop a risk analysis applied to a project , through a sequence of steps: risk management planning, risk identification, risk classification, risk assessment, risk quantification, risk response planning, risk monitoring and control, process close out and lessons learning. The project risk analysis and management process will be applied to large engineering projects, in particular related to the oil and gas industry. The brief will address the overall range of possible events affecting the project moving from certainty (project issues) through uncertainty (project risks) to unpredictability (unforeseeable events), considering both negative and positive events. Some quantitative techniques (simulation, event tree, Bayesian inference, etc.) will be used to develop risk quantification. The brief addresses a typical subject in the area of project management, with reference to large engineering projects concerning the realization of large plants and infrastructures. These projects are characterized by a high level of change, uncertainty, complexity and ambiguity. The brief represents an extension of the material developed for the course Project Risk Analysis and Management of the Master in Strategic Project Management (Erasmus Mundus) developed jointly by Politecnico di Milano, Heriot Watt University (Edimburgh) and Umea (Sweden). The brief may be used both in courses addressing project management subjects and by practitioners as a guide for developing an effective project risk management plan.