Academic
Academic
The Dilemma and Countermeasures of AI in Educational Application
This paper divides the application of AI in education into three categories, namely, students-oriented AI, teachers-oriented AI and school mangers -oriented AI, which focuses on …
Fairness Measures of Machine Learning Models in Judicial Penalty Prediction
<p>Machine learning (ML) has been widely adopted in many software applications across domains. However, accompanying the outstanding performance, the behaviors of the ML models, which …
Law as computation in the era of artificial legal intelligence: Speaking law to the power …
The idea of artificial legal intelligence stems from a previous wave of artificial intelligence, then called jurimetrics. It was based on an algorithmic understanding of …
Bias in Adjudication and the Promise of AI: Challenges to Procedural Fairness
Empirical research demonstrates that judges are prone to cognitive and social biases, both of which can reduce the accuracy of judgements and introduce extra-legal influences …
“AI Am Here to Represent You”: Understanding How Institutional Logics Shape Attitudes Toward Intelligent Technologies …
The implementation of artificial intelligence (AI) in work is increasingly common across industries and professions. This study explores professional discourse around perceptions and use of …
Operationalising ethical AI governance: a triadic framework for the European AI act
Auditing of AI in Railway Technology – a European Legal Approach
Abstract Artificial intelligence (AI) promises major gains in productivity, safety and convenience through automation. Despite the associated euphoria, care needs to be taken to ensure …
The Selective Labels Problem
Evaluating whether machines improve on human performance is one of the central questions of machine learning. However, there are many domains where the data is …