Category
Academic
Litigation Outcome Prediction of Differing Site Condition Disputes through Machine Learning Models
The construction industry is one of the main sectors of the U.S. economy that has a major effect on the nation’s growth and prosperity. The …
Transparency and accountability in digital public services: Learning from the Brazilian cases
Technology, Displaced? The Risks and Potential of Artificial Intelligence for Fair, Effective, and Efficient Refugee …
Human vulnerability is at the core of refugee status determination and human rights provides its regulatory frame, so to speak of artificial intelligence within the …
Algorithmic discrimination in the credit domain: what do we know about it?
Abstract The widespread usage of machine learning systems and econometric methods in the credit domain has transformed the decision-making process for evaluating loan applications. Automated …
Good models borrow, great models steal: intellectual property rights and generative AI
Abstract Two critical policy questions will determine the impact of generative artificial intelligence (AI) on the knowledge economy and the creative sector. The first concerns …
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 …
Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Landscape
Abstract This research explores AI-generated originality's impact on copyright regulations. It meticulously examines legal frameworks such as the Berne Convention, EU Copyright Law, and national …
Cultural Differences as Excuses? Human Rights and Cultural Values in Global Ethics and Governance of …
Abstract Cultural differences pose a serious challenge to the ethics and governance of artificial intelligence (AI) from a global perspective. Cultural differences may enable malignant …
Auditing Algorithms for Discrimination
This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective …
Predicting Outcomes of Legal Cases based on Legal Factors using Classifiers
Predicting outcomes of legal cases may aid in the understanding of the judicial decision-making process. Outcomes can be predicted based on i) case-specific legal factors …