Lagnado, Fenton, and Neil: Legal idioms: A framework for evidential reasoning

Dr. David A. Lagnado of University College London, and Professor Dr. Norman Fenton and Professor Dr. Martin Neil, both of Queen Mary University of London, have published Legal idioms: A framework for evidential reasoning, Argument & Computation 4(1), 46-63 (2013).

Here is the abstract:

How do people make legal judgments based on complex bodies of interrelated evidence? This paper outlines a novel framework for evidential reasoning using causal idioms. These idioms are based on the qualitative graphical component of Bayesian networks, and are tailored to the legal context. They can be combined and reused to model complex bodies of legal evidence. This approach is applied to witness and alibi testimony, and is illustrated with a real legal case. We show how the framework captures critical aspects of witness reliability, and the potential interrelations between witness reliabilities and other hypotheses and evidence. We report a brief empirical study on the interpretation of alibi evidence, and show that people’s intuitive inferences fit well with the qualitative aspects of the idiom-based framework.

Call for Papers: Special issue of AI & Law on Computational Methods for Enforcing Privacy and Fairness

Dr. Thomas F. Gordon of Fraunhofer Institute for Open Communications Systems (FOKUS) tells us that a call for papers has been issued for a special issue of the journal Artificial Intelligence and Law on the topic, “Computational Methods for Enforcing Privacy and Fairness in the Knowledge Society”.

The submission deadline is 15 April 2013.

Here is an excerpt from the call:

We invite contributions on methodologies, techniques, algorithms, and tools in support of the analysis or of the enforcement of privacy, non-discrimination, and other personal rights in ICT systems for the knowledge society. Special focus is on multi-disciplinary approaches on the following, non-exhaustive, list of topics, and that relate to Artificial Intelligence and Law:

• Methods for enforcing data privacy and anonymity
• Methods for data portability, and for the right to oblivion
• Methods for data protection and law enforcement
• Privacy by-design in intelligent systems
• Privacy-preserving data mining
• Privacy policies in social networks
• Context-aware location privacy
• Methods for unbiased data collection and processing
• Methods for enforcing fairness in profiling and targeting
• Methods for discrimination discovery from data
• Statistical measures of discrimination
• Methods for discrimination prevention in data mining
• Computational argumentation in discrimination analysis
• Design of (quasi-)experimental methods
• Computational models of segregation in social networks
• Computational models of evidential reasoning
• Tools and systems, with case studies [...]

For more details, please see the complete call.

HT Tom Gordon

Call for Papers: ICAIL 2013: International Conference on Artificial Intelligence and Law

A call for papers — with paper submission deadline of 18 January 2013 — has been issued for ICAIL 2013: 14th International Conference on Artificial Intelligence and Law, to be held 10-14 June 2013 in Rome, Italy.

The Twitter account for the conference is @ICAIL2013 . The Twitter hashtag for the conference is #ICAIL2013. The conference organizers invite those interested to follow the Twitter account and hashtag and to comment and contribute with the latest news.

The conference features two tracks: one for “regular papers” and one for “innovative applications papers.”

Here is the complete list of deadlines:

• Mentoring program request deadline: November 9, 2012
• Mentoring program paper deadline: November 16, 2012
• Submission of workshop and tutorial proposals: December 7, 2012
• Submission of abstracts (optional): January 11, 2013
• Submission of papers deadline: January 18, 2013
• Notification of acceptance: March 20, 2013
• Final revised and formatted papers due: April 19, 2013
• Conference: June 10 – June 14, 2013

Papers are invited on the following topics:

• Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Automatic legal text classification and summarization
• Automated information extraction from legal databases and texts
• Machine learning and data mining applied to legal databases
• Conceptual or model-based legal information retrieval
• E-discovery and e-disclosure
• E-government and e-justice
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Online dispute resolution
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• Interdisciplinary applications of legal informatics methods and systems

For more information, please see the call for papers.

HT Anne Gardner

[NOTE: Updated 23 November 2012 to add the Twitter account and hashtag. HT Enrico Francesconi]

Keppens on Argument Diagram Extraction from Evidential Bayesian Networks

Dr. Jeroen Keppens of the King’s College London Department of Informatics has published Argument diagram extraction from evidential Bayesian networks, Artificial Intelligence and Law, 20, 109-143.

Here is the abstract:

Bayesian networks (BN) and argumentation diagrams (AD) are two predominant approaches to legal evidential reasoning, that are often treated as alternatives to one another. This paper argues that they are, instead, complimentary and proposes the beginnings of a method to employ them in such a manner. The Bayesian approach tends to be used as a means to analyse the findings of forensic scientists. As such, it constitutes a means to perform evidential reasoning. The design of Bayesian networks that accurately and comprehensively represent the relationships between investigative hypotheses and evidence remains difficult and sometimes contentious, however. Argumentation diagrams are representations of reasoning, and are used as a means to scrutinise reasoning (among other applications). In evidential reasoning, they tend to be used to represent and scrutinise the way humans reason about evidence. This paper examines how argumentation diagrams can be used to scrutinise Bayesian evidential reasoning by developing a method to extract argument diagrams from BN.

Bex and Walton: Burdens and Standards of Proof for Inference to the Best Explanation: Three Case Studies

Dr. Floris J. Bex of The University of Dundee Argumentation Research Group, and Professor Dr. Douglas Walton of the University of Windsor Centre for Research in Reasoning, Argumentation and Rhetoric, have published Burdens and standards of proof for inference to the best explanation: three case studies, forthcoming in Law, Probability, and Risk.

Here is the abstract:

In this article, we provide a formal logical model of evidential reasoning with proof standards and burdens of proof, which enables us to evaluate evidential reasoning by comparing stories on either side of a case. It is based on a hybrid inference model that combines argumentation and explanation, using inference to the best explanation as the central form of argument. The model is applied to one civil case and two criminal cases. It is shown to have some striking implications for modelling and using traditional proof standards like preponderance of the evidence and beyond reasonable doubt.

Call for Papers: Workshop on Agent Model-Based Reasoning in Law

A call for papers — with submission deadline of 14 April 2011 — has been issued for The 2011 Workshop on Agent Model-Based Reasoning in Law, to be held 6 June 2011, at The University of Pittsburgh, in Pittsburgh, Pennsylvania, USA. The workshop is being held in conjunction with ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law.

Papers for the workshop are invited on the following topics:

• Agent roles in law-based institutions and plan recognition based on regulative and constitutive rules
• Conceptual issues in the formal specification of norm-governed multi-agent systems
• Monitoring of multi-agent interactions in law enforcement
• Agent model-based reasoning about evidence from witness and expert testimony
• Mental concepts in ontologies of law
• Models of agent interaction in policy simulation

For more information, please see the call for papers.

Calls for Papers: Workshops @ ICAIL 2011

Calls for papers, with diverse submission deadlines, have been issued for the workshops at ICAIL 2011: The International Conference on Artificial Intelligence and Law; the workshops are scheduled to be held 6 and 10 June 2011, in Pittsburgh, Pennsylvania, USA.

DESI IV: Workshop on Setting Standards for Searching Electronically Stored Information in Discovery Proceedings, 6 June 2011. Deadlines:

• 1 April 2011: Research papers;
• 22 April 2011: Position papers.

Workshop on Agent Model-Based Reasoning in Law, 6 June 2011. Deadline:

• 14 March 2011.

Computational Law: A Bridge Towards the Business Rules, 6 June 2011. Deadline:

• 20 April 2011.

AI & Evidential Inference, 10 June 2011. Deadline:

• TBA

AHLTL 2011: Applying Human Language Technology to the Law, 10 June 2011. Deadline:

• 31 March 2011.

Coherence 2011: Artificial Intelligence, Coherence, and Judicial Reasoning, 10 June 2011. Deadlines:

• 15 April 2011: Abstracts;
• 3 June 2011: Full papers.

HT JURIX.

Deadline Extended to 17 January: Call for Papers for ICAIL 2011

[NOTE: The call for papers submission deadline has been extended to 17 January 2011, according to @JackGConrad.]

A call for papers has been issued for ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law, to be held 6-10 June 2011 at the University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA.

The conference is organized by IAAIL: The International Association for Artificial Intelligence and Law.

A mentoring program is being offered for authors wishing to submit papers to the conference.

Here are the submission deadlines:

• “Mentoring program request deadline: November 8, 2010
• Mentoring program paper deadline: November 15, 2010
• Submission of workshop and tutorial proposals: December 6, 2010
• Submission of abstracts (optional): January 3, 2011″
• Submission of papers extended deadline: January 17, 2011

Papers are invited on the following topics:

• “Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Conceptual or model-based legal information retrieval
• Automated information extraction from legal databases and texts
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• E-discovery and e-disclosure
• Automatic legal text classification and summarization
• Machine learning and data mining applied to legal databases”

For more information, please see the call for papers.

HT Jack G. Conrad.

December 6 Deadline: ICAIL 2011 Workshop & Tutorial Proposals

[NOTE: 6 December 2010 is the deadline for submitting workshop and tutorial proposals.]

A call for papers has been issued for ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law, to be held 6-10 June 2011 at the University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA.

The conference is organized by IAAIL: The International Association for Artificial Intelligence and Law.

A mentoring program is being offered for authors wishing to submit papers to the conference.

Here are the remaining submission deadlines:

• “Submission of workshop and tutorial proposals: December 6, 2010
• Submission of abstracts (optional): January 3, 2011
• Submission of papers deadline: January 10, 2011″

Papers are invited on the following topics:

• “Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Conceptual or model-based legal information retrieval
• Automated information extraction from legal databases and texts
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• E-discovery and e-disclosure
• Automatic legal text classification and summarization
• Machine learning and data mining applied to legal databases”

For more information, please see the call for papers.

HT Jack G. Conrad.

Call for Papers: ICAIL 2011

A call for papers has been issued for ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law, to be held 6-10 June 2011 at the University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA.

The conference is organized by IAAIL: The International Association for Artificial Intelligence and Law.

A mentoring program is being offered for authors wishing to submit papers to the conference.

Here are the submission deadlines:

• “Mentoring program request deadline: November 8, 2010
• Mentoring program paper deadline: November 15, 2010
• Submission of workshop and tutorial proposals: December 6, 2010
• Submission of abstracts (optional): January 3, 2011
• Submission of papers deadline: January 10, 2011″

Papers are invited on the following topics:

• “Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Conceptual or model-based legal information retrieval
• Automated information extraction from legal databases and texts
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• E-discovery and e-disclosure
• Automatic legal text classification and summarization
• Machine learning and data mining applied to legal databases”

For more information, please see the call for papers.

HT Jack G. Conrad.