Real Estate Law

Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning algorithms. Despite this interest, the robustness of those fairness measures with respect to an intentional adversarial attack has...

The Minnesota Law Review is published six times a year in November, December, February, April, May, and June by the Minnesota Law Review Foundation. Headnotes is published two times a year in the Fall and Spring. Minnesota Law Review Submissions...

Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we are good credit risks, desirable employees, reliable tenants, valuable customers—or deadbeats, shirkers, menaces, and “wastes of time.” Crucial opportunities are on the line, including the...

Abstract Artificial intelligence (AI) has an important role in digital transformation worldwide, including in Indonesia. AI itself is a simulation of human intelligence that is modeled in machines and programmed to think like humans. At the time AI and the...

The universal space, crisscrossed by electric fields from electric charges in bodies, is proposed to be the aether as a physical medium conceived by Maxwell, Einstein and others. The fields, in accordance with Coulomb’s law, balance out everywhere. Permittivity and...

The integration of Artificial Intelligence (AI) in various industries has spurred curiosity about its potential role in reshaping the judiciary. This scientific paper delves into the application of AI within the judicial system and examines its potential impact in North...

The Future of Copyright in the Age of Artificial Intelligence offers an extensive analysis of intellectual property and authorship theories and explores the possible impact artificial intelligence (AI) might have on those theories. The author makes compelling arguments via the...

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 <i>selectively labeled</i> in the sense that the observed outcomes are themselves a consequence of the...

Abstract In the US context, critics of court use of algorithmic risk prediction algorithms have argued that COMPAS involves unfair machine bias because it generates higher false positive rates of predicted recidivism for black offenders than for white offenders. In...

Claims, disputes, and litigations are major legal issues in construction projects, which often result in cost overruns, delays, and adverse working relationships among the contracting parties. Recent advances in natural language processing (NLP) techniques offer great potentials that can process...

It has often been said that the internet lacks public property. Unlike the offline world, denizens of cyberspace cannot gather in the digital equivalent of public parks, cannot shame websites by picketing on adjacent cyber-sidewalks, and cannot loiter in online...

Abstract In the debate on copyright exceptions permitting text and data mining (“TDM”) for the development of generative AI systems, the so-called “three-step test” has become a centre of gravity. The test serves as a universal yardstick for assessing the...

ICLR supports the strong community-building role that is so central to the conference. We hope to create opportunities for all participants to meet new people and to share knowledge, best-practices, opportunities, and interests. A Social is a participant-led meeting centered...

Each podcast episode examines how generational experiences shape views of AI, exploring the challenges, opportunities, and ethical considerations

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A full history of the AIIDE conference, sponsored by the Association for the Advancement of Artificial Intelligence (AAAI).

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