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This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.
The aim of this article is to inquire whether contract law can operate in a state of affairs in which artificial general intelligence (AGI) exists and has the cognitive abilities to interact with humans to exchange promises or otherwise engage in the sorts of exchanges typically governed by contract law. AGI is a long way off but its emergence may be sudden and come in the lifetimes of some people alive today. How might contract law adapt to a situation in which at least one of the contract parties could, from the standpoint of capacity to engage in promising and exchange, be an AGI? This is not a situation in which AI operates as an agent of a human or a firm, a frequent occurrence right now. Rather, the question is whether an AGI could constitute a principal - a contract party on its own. Contract law is a good place to start a discussion about adapting the law for an AGI future because it already incorporates a version of what is known as weak AI in its objective standard for contract formation and interpretation. Contract law in some limited sense takes on issues of relevance from philosophy of mind. AGI holds the potential to transform a solution to an epistemological problem of how to prove a contract exists into solution to an ontological problem about the capacity to contract. An objection might be that contract law presupposes the existence of a person the law recognizes as possessing the capacity to contract. Contract law itself may not be able to answer the prior question of legally recognized personhood. The answer will be to focus on how AGI cognitive architecture could be designed for compatibility for human interaction. This article focuses on that question as well.
Woodrow Barfield and Ugo Pagallo present a succinct introduction to the legal issues related to the design and use of artificial intelligence (AI). Exploring human rights, constitutional law, data protection, criminal law, tort law, and intellectual property law, they consider the laws of a number of jurisdictions including the US, the European Union, Japan, and China, making reference to case law and statutes.
Digital transformation is reshaping the business arena as new, successful digital business models are increasing agility and presenting better ways to handle business than the traditional alternatives. Industry 4.0 affects everything in our daily lives and is blurring the line between the physical, the biological, and the digital. This created an environment where technology and humans are so closely integrated that it is impacting every activity within the organizations. Specifically, contracting processes and procedures are challenged to align with the new business dynamics as traditional contracts are no longer fitting today's agile and continuously changing environments. Businesses are required to facilitate faster, more secure, soft, and real-time transactions while protecting stakeholders’ rights and obligations. This includes agile contracts which are dynamically handling scope changes, smart contracts that can automate rule-based functions, friction-less contracts that can facilitate different activities, and opportunity contracts that looks toward the future. Innovative and Agile Contracting for Digital Transformation and Industry 4.0 analyzes the consequences, benefits, and possible scenarios of contract transformation under the pressure of new technologies and business dynamics in modern times. The chapters cover the problems, issues, complications, strategies, governance, and risks related to the development and enforcement of digital transformation contracting practices. While highlighting topics in the area of digital transformation and contracting such as artificial intelligence, digital business, emerging technologies, and blockchain, this book is ideally intended for business, engineering, and technology practitioners and policy makers, along with practitioners, stakeholders, researchers, academicians, and students interested in understanding the scope, complexity, and importance of innovative contracts and agile contracting.
AI in Solicitation and Contract Management: Transforming the Way We Do Business Conversational Chat Informative Book (Abe and Gemini) By Abebe-Bard AI Woldemariam (Pen Name) Get ready to revolutionize your contracting processes with AI in Solicitation and Contract Management! This engaging and informative guide, written by Abebe-Bard AI Woldemariam, explains how artificial intelligence (AI) is streamlining traditional solicitation, contract creation, and management tasks. Faster RFP/RFQs, Better Vendor Selection Discover how AI automates RFP/RFQ generation, saving you time and ensuring compliance. Learn how AI helps you choose the best vendors with objective scoring and analysis. Smarter Contract Management Build a strong foundation with AI-generated clauses and templates, tailored to your needs. Proactively manage risks with AI-powered issue identification and mitigation strategies. Track progress and automate renewals and amendments with ease. The Benefits and Challenges of AI Understand how AI boosts efficiency, accuracy, and cost savings. Make smarter decisions with data-driven insights from AI. Explore key considerations like data quality, transparency, and human oversight. The Future of AI in Contracting Chart a course for successful AI implementation with our practical roadmap. Ensure ethical AI use with clear guidelines and responsible practices. Uncover the exciting possibilities of future AI advancements in the contracting world. Bonus: A dedication to Merab Abebe, reflecting the author's belief in the positive potential of AI. This book is for you if: You're a business leader or procurement professional looking to modernize your contracting processes. You're curious about how AI can improve your contracting efficiency and accuracy. You want to leverage the latest technology to gain a competitive edge. AI in Solicitation and Contract Management is packed with actionable insights and practical advice. Get ready to transform the way you do business! Disclaimer: Information may not always be accurate or reflect Google's views. Note: This description highlights the conversational tone, emphasizes the benefits of AI, and provides a clear target audience. Copyright (c) February 2024 by GEMINI AND ABEBE GEBRE WOLDEMARIAM (ABE)
The book deals with digital technology which is transforming the landscape of dispute resolution. It illustrates the application of AI in the legal field and shows the future prospect of robo-justice for an AAI society in the advanced artificial intelligence era. In other words, the present justice system and the influence of current AI upon courts and arbitration are investigated. The transforming role of AI on all legal fields is examined thoroughly by giving answers concerning AI legal personality and liability. The analysis shows that digital technology is generating an ever-growing number of disputes and at the same time is challenging the effectiveness and reach of traditional dispute resolution avenues. To that extent, the book presents in tandem the impact of AI upon courts and arbitration, and reveals the role of AAI in generating a new robo-justice system. Finally, the end of the perplexing relation of courts and arbitration is evidenced methodically and comprehensively.
This book addresses the role of public policy in regulating the autonomous artificial intelligence and related civil liability for damage caused by the robots (and any form of artificial intelligence). It is a very timely book, focusing on the consequences of judgment proofness of autonomous decision-making on tort law, risk and safety regulation, and the incentives stemming from these. This book is extremely important as regulatory endeavours concerning AI are in their infancy at most, whereas the industry’s development is continuing in a strong way. It is an important scientific contribution that will bring scientific objectivity to a, to date, very one-sided academic treatment of legal scholarship on AI.
Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.