AI And Legal Reasoning Essentials: Practical Advances In Artificial Intelligence And Machine Learning PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download AI And Legal Reasoning Essentials: Practical Advances In Artificial Intelligence And Machine Learning PDF full book. Access full book title AI And Legal Reasoning Essentials: Practical Advances In Artificial Intelligence And Machine Learning by Lance Eliot. Download full books in PDF and EPUB format.
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9781734601657
Category : Computers
Languages : en
Pages : 394
Get Book Here
Book Description
A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the field of AI and Law, doing so with a focus on AI and Legal Reasoning (AILR). Included are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9781734601657
Category : Computers
Languages : en
Pages : 394
Get Book Here
Book Description
A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the field of AI and Law, doing so with a focus on AI and Legal Reasoning (AILR). Included are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Author: Kevin D. Ashley
Publisher: Cambridge University Press
ISBN: 1107171504
Category : Computers
Languages : en
Pages : 451
Get Book Here
Book Description
This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.
Author: Melvin A. Eisenberg
Publisher: Cambridge University Press
ISBN: 1009192760
Category : Law
Languages : en
Pages : 194
Get Book Here
Book Description
The common law, which is made by courts, consists of rules that govern relations between individuals, such as torts (the law of private wrongs) and contracts. Legal Reasoning explains and analyzes the modes of reasoning utilized by the courts in making and applying common law rules. These modes include reasoning from binding precedents (prior cases that are binding on the deciding court); reasoning from authoritative although not binding sources, such as leading treatises; reasoning from analogy; reasoning from propositions of morality, policy, and experience; making exceptions; drawing distinctions; and overruling. The book further examines and explains the roles of logic, deduction, and good judgment in legal reasoning. With accessible prose and full descriptions of illustrative cases, this book is a valuable resource for anyone who wishes to get a hands-on grasp of legal reasoning.
Author: Hugo Sanjurjo González
Publisher: Springer Nature
ISBN: 3030862712
Category : Computers
Languages : en
Pages : 678
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021. The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.
Author: Simon Deakin
Publisher: Bloomsbury Publishing
ISBN: 1509937072
Category : Law
Languages : en
Pages : 343
Get Book Here
Book Description
What does computable law mean for the autonomy, authority, and legitimacy of the legal system? Are we witnessing a shift from Rule of Law to a new Rule of Technology? Should we even build these things in the first place? This unique volume collects original papers by a group of leading international scholars to address some of the fascinating questions raised by the encroachment of Artificial Intelligence (AI) into more aspects of legal process, administration, and culture. Weighing near-term benefits against the longer-term, and potentially path-dependent, implications of replacing human legal authority with computational systems, this volume pushes back against the more uncritical accounts of AI in law and the eagerness of scholars, governments, and LegalTech developers, to overlook the more fundamental - and perhaps 'bigger picture' - ramifications of computable law. With contributions by Simon Deakin, Christopher Markou, Mireille Hildebrandt, Roger Brownsword, Sylvie Delacroix, Lyria Bennet Moses, Ryan Abbott, Jennifer Cobbe, Lily Hands, John Morison, Alex Sarch, and Dilan Thampapillai, as well as a foreword from Frank Pasquale.
Author: Committee on Technology National Science and Technology Council, Committee on Technology
Publisher: Createspace Independent Publishing Platform
ISBN: 9781540396518
Category :
Languages : en
Pages : 58
Get Book Here
Book Description
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.
Author: Miao, Fengchun
Publisher: UNESCO Publishing
ISBN: 9231004476
Category : Political Science
Languages : en
Pages : 50
Get Book Here
Book Description
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Author: David I. Poole
Publisher: Oxford University Press on Demand
ISBN: 9780195102703
Category : Computers
Languages : en
Pages : 558
Get Book Here
Book Description
Provides an integrated introduction to artificial intelligence. Develops AI representation schemes and describes their uses for diverse applications, from autonomous robots to diagnostic assistants to infobots. DLC: Artificial intelligence.
Author: Virginia Dignum
Publisher: Springer Nature
ISBN: 3030303713
Category : Computers
Languages : en
Pages : 133
Get Book Here
Book Description
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Get Book Here
Book Description
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
