Fairness-Aware Machine Learning
Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and the potential for such systems to discriminate against certain population groups, due to biases in...
Machine Ethics: The Design and Governance of Ethical AI and Autonomous Systems [Scanning the Issue]
The so-called fourth industrial revolution and its economic and societal implications are no longer solely an academic concern, but a matter for political as well as public debate. Characterized as the convergence of robotics, AI, autonomous systems and information technology...
Governing artificial intelligence: ethical, legal and technical opportunities and challenges
This paper is the introduction to the special issue entitled: ‘Governing artificial intelligence: ethical, legal and technical opportunities and challenges'. Artificial intelligence (AI) increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare...
What's Next for AI Ethics, Policy, and Governance? A Global Overview
Since 2016, more than 80 AI ethics documents - including codes, principles, frameworks, and policy strategies - have been produced by corporations, governments, and NGOs. In this paper, we examine three topics of importance related to our ongoing empirical study...
In search of effectiveness and fairness in proving algorithmic discrimination in EU law
Examples of discriminatory algorithmic recruitment of workers have triggered a debate on application of the non-discrimination principle in the EU. Algorithms challenge two principles in the system of evidence in EU non-discrimination law. The first is effectiveness, given that due...
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery
Abstract Background This paper aims to move the debate forward regarding the potential for artificial intelligence (AI) and autonomous robotic surgery with a particular focus on ethics, regulation and legal aspects (such as civil law, international law, tort law, liability,...
“Proven” Safety Regulations: Massachusetts 1805 Proving Law As Historical Analogue for Modern Gun Safety Laws lawreview - Minnesota Law Review
By Billy Clark. Full Text. Concerned by the public health threats posed by certain firearms, the Massachusetts legislature enacts a law to set safety standards for firearms in the Commonwealth. Firearm dealers across the State, including some of the leading...
Geometric conservation laws for flow problems with moving boundaries and deformable meshes, and their impact on aeroelastic computations
A regulatory challenge for natural language processing (NLP)‐based tools such as ChatGPT to be legally used for healthcare decisions. Where are we now?
In the global debate about the use of Natural Language Processing (NLP)-based tools such as ChatGPT in healthcare decisions, the question of their use as regulatory-approved Software as Medical Device (SaMD) has not yet been sufficiently clarified. Currently, this discussion...
Regulation of Artificial Intelligence systems, databases, and intellectual property
This Article refers to the regulation of AI systems, databases and intelectual property. Directive 96/9/CE of the European Council of March 11, 1996, which is pioneering legislation for the legal protection of databases and introduces concepts for the study database...
Natural Language, Legal Hurdles: Navigating the Complexities in Natural Language Processing Development and Application
This article delves into the legal challenges faced in developing and deploying Natural Language Processing (NLP) technologies, focusing particularly on the European Union’s legal framework, especially the DSM Directive, the InfoSoc Directive, and the Artificial Intelligence Act. It addresses the...
A philosophy of technology for computational law
This chapter confronts the foundational challenges posed to legal theory and legal philosophy by the rise of computational ‘law’. Two types will be distinguished, noting that they can be combined into hybrid systems. On the one hand, the use of...
A governance model for the application of AI in health care
Abstract As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing...
Natural language processing in C<scp>LIME</scp>, a multilingual legal advisory system
Abstract This paper describes CLIME, a web-based legal advisory system with a multilingual natural language interface. CLIME is a ‘proof-of-concept’ system which answers queries relating to ship-building and ship-operating regulations. Its core knowledge source is a set of such regulations...
Artificial intelligence (AI) and financial technology (FinTech) in Tanzania; legal and regulatory issues
Purpose This paper aims to investigate the legal challenges arising from the increasing integration of artificial intelligence (AI) within the financial industry. It examines issues such as data privacy, cyber security, fraud and consumer protection, as well as ethical concerns...
The intellectual property road to the knowledge economy: remarks on the readiness of the UAE Copyright Act to drive AI innovation
Copyright law in the United Arab Emirates (UAE) has the capacity to address the challenges associated with artificial intelligence (AI)-generated literary, artistic and scientific works. Under UAE copyright law, AI-generated works may qualify as copyright subject matter despite the non-human...
Design and Implementation of a Chatbot for Automated Legal Assistance using Natural Language Processing and Machine Learning
Legal research is a time-consuming and complex task that requires a deep understanding of legal language and principles. To assist lawyers and legal professionals in this process, an AI-based legal assistance system can be developed that utilizes natural language processing...
Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications
The surge in legal text production has amplified the workload for legal professionals, making many tasks repetitive and time-consuming. Furthermore, the complexity and specialized language of legal documents pose challenges not just for those in the legal domain but also...
Artificial Intelligence and the Copyright Survey
Artificial intelligence, the common good, and the democratic deficit in AI governance
Abstract There is a broad consensus that artificial intelligence should contribute to the common good, but it is not clear what is meant by that. This paper discusses this issue and uses it as a lens for analysing what it...
Legal Database Renewal in the AI Era: Insights from Eversheds Sutherland’s AI Strategy
Abstract This article, written by Andrew Thatcher , explores Eversheds Sutherland’s approach to integrating generative AI knowledge tools, focusing on their evaluation, onboarding and the subscription management. Rather than debating the broader implications of AI in law, the paper provides...
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and the potential for such systems to discriminate against certain population groups, due to biases in...
Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action
Data augmentation for fairness-aware machine learning
Researchers and practitioners in the fairness community have highlighted the ethical and legal challenges of using biased datasets in data-driven systems, with algorithmic bias being a major concern. Despite the rapidly growing body of literature on fairness in algorithmic decision-making,...
Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications
The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and governance. As organizations increasingly rely on machine learning and big data analytics for customer profiling,...
In Defence of Principlism in AI Ethics and Governance
FINANCIAL TECHNOLOGY EVOLUTION IN AFRICA: A COMPREHENSIVE REVIEW OF LEGAL FRAMEWORKS AND IMPLICATIONS FOR AI-DRIVEN FINANCIAL SERVICES
The rapid evolution of financial technology, especially the integration of Artificial Intelligence (AI), is reshaping the financial sector in Africa. This paper comprehensively reviews the rise, implications, and future prospects of AI-driven financial services in Africa. This study aimed to...
Principles alone cannot guarantee ethical AI
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
Narrowing FOIA’s Exemption for Business Secrets
This essay examines the judicial aftermath of Food Marketing Institute v. Argus Leader Media, a controversial 2019 Supreme Court decision that broadened the Freedom of Information Act (FOIA) exemption for trade secrets and confidential commercial…The postNarrowing FOIA’s Exemption for Business...