Vocabularies

A first step in developing a new hermeneutics is to develop an understanding of the meaning of relevant concepts in the domains of law and computer science.

 

Such concepts form part of a web of meaning, where concepts have a specific position in relation to other relevant concepts and function in the context of a domain-specific methodology

For lawyers and computer scientists and engineer to even begin to understand each other, they will have to get acquainted with each other's language games: with the way they USE relevant concepts when doing law or when building a computational architecture.

The purpose of this exercise, therefor, is not to develop a shared vocabulary, as this would imply mixing and confusing methodologies and - in a sense - betraying one's own methodological integrity. 

The purpose is to take a first step in the process of learning a new language, at least to the point of understanding where specific concepts fit, how they affect the outcome of both law and computational design and - in the end - how the inherent logic of both fields of application impact the kind of protection that law aims to offer. The second step, therefor, concerns the grammar of both fields, emphasising the dynamic and generative structures that drive the practice of law and the practice of computer science.

The listings below are tentative, exploratory and merely an indication of the direction of the research - they will be developed in more detail in research papers, articles, books, seminars and conferences which will be announced and referenced elsewhere on the site. 

Vocabulary of law

Legal effect

Legal subjectivity

Legal right

Legal obligation

Legal duty

Liability

Legal norms

Legal certainty

Justice

Equality

Reasonableness

Sources of law

Legislation

Regulation

Case law

Doctrine

Fundamental legal principles

Customary law

Vocabulary of computer science

Information

Data

Code

Cryptography

Encryption

Hashing

Blockchain

Distributed ledger technologies

Verifiability

Attack model

Key management

Security

Confidentiality

Integrity

Availability

Machine learning

Training dataset

Validation dataset

Test dataset

Feature space

Hypotheses space

Target function

Performance metric

Objective function

Accuracy

Optimisation

Approximation

Baseline

Ground truth

Null hypothesis

Godel's incompleteness theorems

Church-Turing undecidibility theorem

COHUBICOL is funded from 2019-2024 by the European Research Council (ERC)

under the HORIZON2020 Excellence of Science program 

ERC-2017-ADG No 788734

Law Science Technology & Society studies (LSTS), Vrije Universiteit Brussel

Institute of Computing & Information Sciences (iCIS), Radboud University Nijmegen

© 2018-2019 by CoHuBiCoL