Academic
Academic
A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data …
Big Data analytics and artificial intelligence (AI) draw non-intuitive and unverifiable inferences and predictions about the behaviors, preferences, and private lives of individuals. These inferences …
Natural language processing and query expansion in legal information retrieval: Challenges and a response
As methods in legal information retrieval (IR) evolve to meet the demands of rapidly increasing stores of electronic information, there is the intuitive appeal of …
The Regulation of Algorithms and Artificial Intelligence under the GDPR, Case Law and Proposed Legislation
Autonomous cars will be working (among other things) thanks to a wide use of A.I. The regulation of Artificial intelligence has been a matter of …
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous …
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 …
Natural Language Processing for Legal Texts
Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing …
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law
Concerns regarding unfairness and discrimination in the context of artificial intelligence (AI) systems have recently received increased attention from both legal and computer science scholars. …
AI copyright policy considerations for Botswana and South Africa – Compensation for starving artists feeding …
The balancing act which domestic intellectual property policy is now challenged to strike is between fostering growth in technological innovation and incentivising creative labour. Ordinarily, …
Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics …
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 …