TL;DR
Examination of AI-assisted legal research in Uganda’s Superior Courts through doctrinal, jurisprudential and normative analysis argues that precedent presents an ethical governance problem and requires governance of both the research output and the legal-information infrastructure that makes the output possible.
The article argues that the greater the algorithmic influence over a legally consequential decision, the stronger the corresponding public-law safeguards must be, and proposes a five-part framework based on legal attribution, bounded algorithmic discretion, procedural algorithmic transparency, institutional responsibil...
A methodical investigation into the transformation of judicial frameworks enhanced by artificial intelligence (AI) raises a crucial normative inquiry: is the integrity of justice in law perpetually threatened by the use of algorithms in the judiciary? Rooted in legal principles and human rights frameworks, it seeks to...
It is argued that a transparent, accountable, and human-centred regulatory framework is essential for promoting innovation while preserving judicial independence, the rule of law, and public confidence in the justice system.
Artificial Intelligence (AI) is rapidly transforming judicial systems worldwide by enhancing the efficiency, consistency, and accessibility of legal decision-making. AI-powered technologies such as predictive analytics, natural language processing, legal research tools, and decision-support systems are increasingly bei...
The proliferation of artificial intelligence across public and private sectors has positioned algorithmic decision-making at the heart of consequential outcomes, from criminal sentencing and credit scoring to healthcare allocation and employment screening. Yet the opacity of AI systems, combined with fragmented governa...
The article develops a four-dimensional framework comprising technological infrastructure, institutional delegation, legal-regulatory structuring, and platform power, and identifies four mechanisms through which authority is formed: efficiency legitimation, risk categorization, responsibility diffusion, and institution...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
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