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Theory and Practice in AI and Law: A Response to Branting

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Over the years there has emerged something of an academic consensus in the AI and Law field ... In practice decisions do not recapitulate the whole story ... – PowerPoint PPT presentation

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Title: Theory and Practice in AI and Law: A Response to Branting


1
Theory and Practice in AI and Law A Response to
Branting
  • Katie Atkinson and
  • Trevor Bench-Capon
  • Department of Computer Science
  • The University of Liverpool

2
Overview
  • Over the years there has emerged something of an
    academic consensus in the AI and Law field
  • Practitioners, however, often find it difficult
    to relate this theory to practice
  • Trenchant criticisms from Karl Branting
  • This talk attempts to explain why these
    discrepancies exist
  • Some remarks on categories of legal AI systems

3
Theoretical Consensus
  • Models of reasoning with legal cases
  • CBR approaches of Rissland, Ashley, Aleven,
    Brunighaus
  • Rule/Logic based approaches of Prakken, Sartor,
    Hage, Roth, Bench-Capon
  • Theory (McCarty), Purpose (Berman and Hafner) and
    Dialogue (Gordon)
  • A range of work from which some agreement has
    emerged

4
Features of the Consensus
  • Representation of cases using factors
  • Not facts, but patterns of facts with legal
    significance
  • Reasoning based on argument plaintiff and
    defendant exchange arguments based on factors
    present in the case and precedents
  • These arguments can be presented as dialectical
    exchanges
  • Decisions are based on an evaluation of the
    competing arguments
  • Strengths of arguments can be based on the
    purposes served by accepting them.

5
Questions for the Consensus
  • Branting has argued that experience with real
    decisions deviates from this consensus
  • He has six points of contention

6
Contentions
  • The outcomes of disputes are highly predictable
  • It is typically hard to find plausible arguments
    for both sides of the case
  • Uncertainty arises from characterisation of
    facts. Not interpretation of precedents
  • Decisions are justified by precedents, not by
    rules and construction

7
Contentions
  • Judicial decisions are not frozen dialectic
  • Decisions almost never make reference to purposes
  • Factor based argumentation is rare
  • So why does the practice theory not reflect the
    consensus theory?

8
Levels of Reasoning
  • In previous work we identified three levels at
    which arguments can be presented in a case
  • Reasoning about the world to determine how the
    law should be
  • Reasoning about legal concepts and their
    applicability to achieve this
  • Reasoning about the consequences of decisions
    made at level two

9
Levels of Reasoning
10
Use of these Levels
  • Often only Level Three is used
  • Applicability is not disputed no need to reason
    at level 2
  • Where applicability is in dispute, Level 2 is
    needed.
  • But Level 1 is needed only if new law is
    required
  • Gaps in understanding
  • Conflicts to resolve
  • Changes in response to social change
  • Many decisions confine themselves to a report of
    the Level 3 argumentation.
  • Precedents embody past reasoning from lower
    levels

11
Predictability
  • At Level Three all is predictable the
    consequences of applicable legal consequences are
    understood
  • At Level 2, applicability of a concept may be
    disputed but precedents are usually clear enough
  • Hard cases are relatively rare landmark cases
    producing new law are rarer

12
Characterisation of Facts
  • Characterisation of facts takes place at the
    level 2, perhaps based on conclusions from Level
    1.
  • Level 1 is where there is little help from
    precedent, and is the least circumscribed, so new
    considerations can be introduced
  • Level 1 is thus likely to be the source of
    uncertainty and unpredictability

13
Justification is by Precedent
  • A precedent often embodies a rule, and the
    application of that rule.
  • It acts as a summary of argumentation from a
    lower level
  • If cited at, e.g. Level 3, therefore it can stand
    for arguments that were considered and evaluated
    previously, and so avoid the need to rehearse
    them again.
  • Reasoning in a case need not be from first
    principles

14
Decisions are not Frozen Dialectic
  • It is important not to confuse the process by
    which a decision is reached with the way in which
    the decision is reported.
  • How we choose to summarise the conclusions from a
    dispute need not reflect the process by which we
    reached those conclusions
  • If the decision confines itself to Level 3, the
    findings can be stated without rehearsing the
    arguments

15
Reference to Purpose is Rare
  • Level 1, which is where the teleological factors
    are considered is required only when
  • new law is needed,
  • The law needs to be changed
  • Very few such landmark cases arise in areas of
    settled law, and so this level is not invoked
  • Conclusions as to purpose are embodied in
    precedents to be used at level 2
  • Much more common in Supreme Court decisions
    Branting focuses on lower level courts

16
Factor Based Argumentation is Rare
  • Again factor based argumentation only becomes
    explicit when Level 1 is reached.
  • Typically the precedent will encapsulate a rule
    originally produced in this way, but which can be
    cited to avoid restating such arguments
  • Again used in reasoning from first principles

17
Theory Construction
  • Bench-Capon and Sartor proposed seeing reasoning
    with legal cases as theory construction
  • How does this fit with our levels?

18
Level 1
Level 3
Level 2
Level 1
input
Domain Analysis
19
British Nationality Act/ Expert Systems
input
Domain Analysis
20
HYPO/ CATO
input
Domain Analysis
21
IBP
input
Domain Analysis
22
AGATHA Berman/Hafner 93
input
Domain Analysis
23
Unaddressed?
input
Domain Analysis
24
Summary
  • The consensus models reasoning from first
    principles
  • In practice decisions do not recapitulate the
    whole story
  • Precedents can be used to avoid the need to
    reason from first principles
  • Decisions state conclusions, and some level of
    justification
  • The consensus assumes a domain analysis, which
    avoids difficulties in characterising facts
  • This may be the hardest problem of them all
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