A
Colossus come to judgment:
GIO's expert
system on general damages
Graham Greenleaf,
Faculty of Law,
University of New South Wales
(published in the Law &
Information Technology column,
Australian
Law
Journal)
26 November 1992
Can a computer program which
knows little about the
Motor
Accidents Act
1988 (NSW), and nothing of comparable verdicts, be relied upon
to
determine the assessment of bodily injury claims in New South Wales?
Colossus,
an ‘expert system’ developed jointly by GIO Australia and Continuum
Australia, has that function, and the software has now been exported to
overseas insurers. With around 15,000 rules in its knowledge-base,
Colossus is
one of the world's largest commercial expert systems.
The GIO had problems.
From 1984
to 1988, its claims costs had been increasing by 14% annually. At least
part of
the fault seemed to lie within. An actuarial study of GIO assessment
practice
prior to 1988 found that claims were being assessed and settled by
assessors and
lawyers with very variable expertise and experience. A re-assessment of
randomly
selected completed files found that among less experience officers
assessments
would typically vary by 100%, but the variation decreased (not
surprisingly)
with the experience of the assessor.
Alternative solutions
were
rejected. More extensive training of assessors was regarded as
impractical
because of the difficulty of providing sufficiently comprehensive
guidelines in
an understandable form, and of ensuring they were correctly followed by
over 250
assessors. A database of comparable verdicts and settlements, based on
the many
thousands of closed claims in GIO files, was considered but rejected
because of
the difficulty in designing it so that genuinely comparable claims
would be
retrieved, given the complexity of variables in a claim. Development
and
updating costs would also be very high. Furthermore, such a system
could easily
involve the entrenchment of bad decisions.
The preferred solution
was to
attempt to capture the accumulated expertise of GIO's best claims
assessors in
what is usually called an ‘expert system’, so as to attempt to mimic
the reasoning processes of an expert assessor. A retired District Court
judge
also worked for six months to ensure that Colossus was considering the
correct
heads of damages. The objectives, common in the development of expert
systems,
were to enable the organisation to speak with a consistent voice, and
to capture
the knowledge of experts so that it was available for use by all staff
(even
after the experts have left the organisation).
Colossus has been used
in all GIO
Funds Administration Offices since July 1989, and about 75% of all
personal
injuries claims are now processed through Colossus. It does not handle
claims
concerning spinal cord injuries, brain damage or nervous shock.
Inside Colossus
A Colossus consultation
requires
an assessor to answer up to 700 questions (but usually far less than
this)
before it makes an assessment. Age and gender of the claimant are the
only
purely personal details considered. Each injury is classified according
to 600
injury codes. The initial, subsequent and future treatment of each
injury is
ascertained. Numerous questions are asked to determine the level of
trauma:
‘In the case of broken bones it will ask if there were problems of bony
union (the system knows the normal union time for all bones by age and
sex). If
a lower extremity is injured, it will enquire about the type and time
walking
aids were used. It will want to know if traction was needed...’ and so
on
(B Hornery and P Beinat ‘Colossus’,
Judicial Officers Bulletin,
V3, No 2,
March 1991). The system attempts to give its users considerable help in
answering these questions, providing on-line medical encyclopedias and
the like.
Each impairment is assessed, and the level of impairment of the whole
person
calculated. Disabilities are assessed, taking into account such factors
as
duties performed under duress, ages of children, domestic assistance
received,
family status, and types of loss of enjoyment of life. An assessment of
the
value of disfigurement is left to the assessor.
The system then combines
five
elements (trauma, impairment, disability, loss of enjoyment of life and
disfigurement), each of which are constructed from this fact gathering,
into one
overall seriousness percentage figure, the percentage that this claim
is of a
catastrophic injury (eg quadriplegia).
For common law cases,
the only
‘comparable verdicts’ that the system knows is the highest verdict
that has been awarded. It calculates the range of ‘Colossus
assessments’ as a simple percentages of this maximum amount. All other
‘comparable verdicts’ or previous assessments are ignored in this
simple linear scaling. For example, if the general damage is considered
to be
36.65% of a most severe case, Colossus' range of common law assessment
is
$77,900 to $91,600.
The logic of Colossus'
approach
now has a close parallel in s79(2) of the
Motor Accidents Act 1988 (NSW)
which
provides that ‘The amount of damages to be awarded for non-economic
loss
[as a consequence of a motor accident] shall be a proportion determined
according to the severity of the non-economic loss, of the maximum
amount which
may be awarded’. The maximum amount, which may only be awarded in ‘a
most extreme case’ (s79(5)), is $180,000, indexed for inflation (s80),
so
the maximum amount on which Colossus bases its linear scaling for motor
vehicle
accidents at present is $211,000. In motor accident cases, no damages
are to be
awarded for non-economic loss unless the injured person's ability to
lead a
normal life is significantly impaired (s79(1)), and only then if the
loss is
assessed as being greater than $15,000. In the above example, the
Motor Accidents Act assessment
would be
$77,300. It also calculates what its common law assessment would have
been, as
shown above.
Between the poles of ‘a
most extreme case’ and ‘no significant impairment’, how
Colossus reaches its recommended figure is subject to three broad sets
of
variables. The validity of any of these steps could be open to
reasonable
argument. First is how the individual assessor has interpreted the
source
documents (medical reports etc) in answering Colossus' questions.
Disagreement
here could arise from differing interpretations of the facts of the
injury and
treatment, even though Colossus has extensive medical ‘help’
facilities. Second is how Colossus uses this information to construct
each of
its five basic categories (trauma, impairment, disability, loss of
enjoyment of
life and disfigurement). GIO has based its measures of relative injury
severity
on the American Medical Association's ‘Guides for the Evaluation of
Permanent Impairment’ and its own claims experience. Even so,
disagreements about the relative severity of certain categories of
injury could
arise. Third is the algorithm used to combine these categories into one
composite percentage figure. Disagreements about the importance of,
say, trauma
compared with loss of enjoyment of life could arise here. The choices
that the
system designers have made in determining these last two matters is, in
large
part, the GIO's embodiment of its expertise, based on its past claims
experience. But expertise is not, of course, infallibility.
Before a Colossus
assessment is
used as the basis for settlement offers, the whole file including the
Colossus
report is reviewed by an authorised officer, to reduce any dangers of
misinterpretation of the facts or inadequate weight being given to very
unusual
factors. In this sense, the Colossus assessment is used as a guide to
the
eventual settlement offer, not its final arbiter.
Artificial intelligence suffers whiplash
An interesting wrinkle
in the
early performance of Colossus was that this linear scaling of injury
seriousness
resulted in Colossus making offers for whiplash which were far lower
than the
‘going rate’ in the late 1980s. The GIO considered that this
reflected previous artificially high settlements for whiplash in New
South
Wales, but business reality dictated that it adjust Colossus so that it
would
offer somewhat more than a pure linear scaling where whiplash was
involved. It
may be easier to change Colossus to reflect subtle commercial
realities, or
statutory changes (such as the introduction of the
Motor Accidents Act), than it
would be
to train numerous assessors to reflect such factors in their
assessments.
An opaque oracle?
For each assessment it
makes,
Colossus produces a report of a couple of pages. The report is a
comprehensive
and structured listing of all of the data that Colossus has been
‘fed’ in order to make its calculations, which should make it easier
for both sides to determine whether they are negotiating on a common
factual
basis .
However, the report then
merely
states the overall percentage of a most severe case that it has
calculated the
injuries to be. No explanation is given of how the various components
(trauma,
impairment, disability, loss of enjoyment of life and disfigurement)
are each
measured, or how they are then combined with each other by Colossus.
This
limited explanation must reduce the assistance that the report gives to
an
assessor or lawyer representing the GIO who is attempting to negotiate
a
settlement. When faced with the other side's calculations of the main
elements
of the claim, it is not likely to be convincing to say ‘Colossus
disagrees’. GIO is currently examining ways to provide a report giving
an
outline of the logic applied in arriving at a conclusion.
It is GIO policy to give
a copy
of the current Colossus report, such as it is, to the claimant's
lawyers on
request. On occasions, it has also allowed claimants' solicitors to put
their
own answers through a Colossus consultation. Could a more comprehensive
explanation of the logic applied by the system also be provided to the
claimant?
GIO would no doubt regard precise details of how the various elements
were
calculated, and how they are combined (the ‘assessing rules’), as
confidential, the key to Colossus' competitive performance as a means
for
settling claims. More meaningful explanations in the report should
assist
negotiations, but there will always be some inherent tension in how
much it is
safe to disclose.
Verdicts on Colossus
How do you measure the
effectiveness or value of a system like Colossus? A GIO test showed a
standard
deviation of 80% from the mean in the assessment of the same bodily
injury claim
by different assessors, but this deviation was reduced to 15% when
Colossus was
used (the deviation is because different assessors still interpret the
input
data differently). GIO is very satisfied with its overall performance
in that
the average general damages component per claim has not risen since
1988,
compared with the previous annual rate of 14%.
Is it meaningful to ask
how
‘accurate’ Colossus is? One measure of the ‘accuracy’ of
Colossus could be the extent to which claimants accept ‘its’ offers.
GIO says that, in the past year, 72% of claims were settled, of which
the 74% managed by Colossus were settled for within 9% of the Colossus
assessment. Of
course, many matters go to trial for reasons which have nothing to do
with
general damages, such as questions of liability and future economic
loss.
Another measure could be the extent to which Courts reach the same
measure of
damages as Colossus does – with the attendant risk of costs against a
claimant who chooses to litigate when an offer of compromise is made
and
rejected. Of those claims that are fully litigated, GIO figures
indicate that
the Supreme Court awards verdicts which, for general damages, are on
average
20% higher than the Colossus estimate, and the difference in relation
to
verdicts by the District Court is even greater. However, there may be
many
explanations for these differences. There may be some distortion at
present by
the ‘tail’ of difficult common law motor accident claims in New
South Wales. There will also always be claims which, because there are
special
circumstances affecting the plaintiff which Colossus is unable to take
into
account, or because the plaintiff is likely to present particularly
well in
court, it will be better to litigate than to accept what Colossus would
recommend.
Whatever the best
measure is, it
is important that Colossus makes ‘fair’ settlement offers. Even
though the GIO now operates in a competitive environment, which
sometimes
lessens dangers of unfairness, long run commercial imperatives are not
sufficient to ensure justice in individual cases. Of course, the
claimant can
always go to Court, but it is in the public interest that the maximum
number of
claims be settled, and that settlements be fair.
Colossus is just one
instance of
an important challenge of the information age: how to ensure that
computer-based
decision-making is fair and non-discriminatory. Australia is at the
forefront of
the development of such systems, with other examples such as the NSW
Sentencing
Information System, Commonwealth data matching schemes, and the
computerisation
of social security administration having been the subjects of past
columns in
this series. In many cases they lead to improved consistency, and
equity, in
over-all decision making. However, we need to develop measures to
better ensure
that they are also fair in individual cases. Administrative law, and
competition, are valuable in eventually revealing system deficiencies,
but
maximum openness (‘transparency’) in how such systems operate, and
the consequent opportunities for informed public debate, is the best
preventative measure.
GIO has adopted measures
such as
extensive medical help systems, and checking of assessments by
authorised
officers, to try to ensure that Colossus operates fairly, and it is
considering
others such as more explanation of Colossus recommendations. It is
equally
important that the legal profession engages in an informed dialogue
with GIO and
the operators of similar systems.
Jobsearch prognosis
Another GIO expert
system, only
recently in use, calculates economic loss for adults. It examines the
impact of
the accident on the claimant's employability by comparing the prognosis
of each
doctor who reported on the claim with the permanent impairment ratings
generated
by the general damages component of the system and the requirements of
the
claimant's pre-injury occupation and other occupations, calculating its
own
‘level of belief’ in each prognosis depending on how well it matches
this other data.
It uses the Australian
Standard
Classification of Occupations (ASCO), to determine the relevant
educational,
mobility, dexterity etc criteria for 1600 occupations, as well as pay
rates.
This data is used to find post-accident occupations open to the
claimant, and
Commonwealth Employment Service (CES) data on the regional availability
of
employment in the relevant occupations is then used to determine the
likelihood
of employment. Labour market analysis is to be added. Assessors can
over-ride
any of the conclusions drawn by the economic loss system because of the
likelihood that they will have local knowledge unknown to the system.
(Much of above
description is
derived from B Hornery and P Beinat ‘Knowledge-Based Systems in
Insurance’, a paper published by Housley Communications Consultants,
1991,
and the other paper by those authors cited above. Barry Hornery and
Geoff
Meadows of GIO also assisted with very helpful discussions. The
opinions
expressed are, of course, mine and not theirs.)