Admission Price: Free to attend, but please reserve here
It is a complex question how wary we must be of the internet, electronic commerce and the intellectual property rights on the internet. It is emerging as putatively a law free zone- per Barlow. Significant non-state governance mechanisms have transformed the meaning of national territorial sovereignty. The disruption caused by Big data to the global legal order is surely one of the most significant developments ever.
It has caused some to reflect on the place of law…Some such as Hildebrandt speak of the new frontier ‘onlife world’ which incorporates the mobile hyper connected cybernetic systems such as smartphones, online social media, gaming, search engine, health and fitness apps, fraud detection systems etc, with a frontend and backend and a highly sensitive interaction between law and science in a manner not previously anticipated. Here, law acts as information in the era of data-driven agency. A global rule of ‘cyberlaw’ has become topical recently based on events in the world news. Yet what kind of role for law and norms can we imagine if we do not fully understand the place of law lagging behind science constantly? This event discusses Prof. Hildebrandt’s seminal Modern Law Review article, attempting to integrate from an interdisciplinary perspective, the challenge of law, information and data (Hildebrandt Mireille. (2016) Law as information in the era of data-driven agency. The Modern Law Review (1) 79(1): 1-30).
Title: Law as Computation or Data-Driven Law
- Professor Mireille Hildebrandt, Vrije Universiteit Brussel and Radboud University Nijmegen
The idea of computational law or jurimetrics stems from a previous wave of artificial intelligence. It was based on an algorithmic understanding of law, celebrating logic as the sole ingredient for proper legal argumentation. However, as Holmes noted, the life of the law is experience rather than merely logic. Machine learning, which determines the current wave of artificial intelligence, is built on machine experience. The resulting computational law may be far more successful in terms predicting the content of positive law. In this talk I discuss the assumptions of law and the rule of law and confront them with those of computational systems. As a twin account to/ related to my Modern Law Review/ Chorley lecture on Law as Information, this should inform the extent to which artificial legal intelligence provides for responsible innovation in legal decision making.
- Professor Andrew Murray, London School of Economics
- Dr Daithi Mac Sithigh, Newcastle Law School
- Dr David Mangan, City, University of London
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When and where
6.00pm - 8.00pmWednesday 5th July 2017
CLS Research Events