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code-driven law?
Workshop on AI and border control, Edinburgh Law School (virtual), 15 June 2021
Giovanni Sileno, University of Amsterdam. g.sileno@uva.nl
Hildebrandt’s taxonomy
code-driven law
data-driven law
text-driven law
Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law
and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020)
legal norms or policies that have
been articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
Hildebrandt’s taxonomy
code-driven law
data-driven law
text-driven law
Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law
and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020)
legal activity performed by humans by
means of sources of norms such as
statute and case law
open-textured concepts
multi-interpretability
→ it can be contested
legal norms or policies that have
been articulated in computer code
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
Hildebrandt’s taxonomy
code-driven law
data-driven law
text-driven law
Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law
and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020)
legal activity performed by humans by
means of sources of norms such as
statute and case law
open-textured concepts
multi-interpretability
→ it can be contested statistical closure logical closure
legal norms or policies that have
been articulated in computer code
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
Hildebrandt’s taxonomy
code-driven law
data-driven law
text-driven law
Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law
and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020)
legal activity performed by humans by
means of sources of norms such as
statute and case law
open-textured concepts
multi-interpretability
→ it can be contested statistical closure logical closure
legal certainty +
legal norms or policies that have
been articulated in computer code
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
Hildebrandt’s taxonomy
code-driven law
data-driven law
text-driven law
Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law
and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020)
legal activity performed by humans by
means of sources of norms such as
statute and case law
open-textured concepts
multi-interpretability
→ it can be contested statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
legal norms or policies that have
been articulated in computer code
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
Hildebrandt’s taxonomy
code-driven law
data-driven law
text-driven law
Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law
and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020)
legal activity performed by humans by
means of sources of norms such as
statute and case law
open-textured concepts
multi-interpretability
→ it can be contested statistical closure logical closure
COMPUTATIONAL LEGALISM
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
legal norms or policies that have
been articulated in computer code
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
code-driven law
data-driven law
text-driven law
legal activity performed by humans by
means of sources of norms such as
statute and case law
legal norms or policies that have
been articulated in computer code
automatic decision-making
or predictions used in support derived
from statistical/inductive methods
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
in so far humans are involved
data-guided law
automatic decision-making
derived from statistical/inductive
methods
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
instance + label
instance + label
instance + label
instance + label
…..
TRAINING
DATASET
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
instance + label
instance + label
instance + label
instance + label
…..
is the training data set
representative of
the domain in which
it will be applied?
is the rationality behind labeling
still the same?
TRAINING
DATASET
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
instance + label
instance + label
instance + label
instance + label
…..
is the training data set
representative of
the domain in which
it will be applied?
is the rationality behind labeling
still the same?
TRAINING
DATASET
is the training method
producing adequate,
reproducible, robust results?
TRAINING
METHOD
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
instance + label
instance + label
instance + label
instance + label
…..
is the training data set
representative of
the domain in which
it will be applied?
is the rationality behind labeling
still the same?
TRAINING
DATASET
is the training method
producing adequate,
reproducible, robust results?
TRAINING
METHOD
→ it can be contested
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
fact
fact
….
STRUCTURAL
rule
rule
…..
CONTINGENT
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
fact
fact
….
STRUCTURAL
rule
rule
…..
CONTINGENT
were all the relevant rules considered?
were all the relevant facts given?
is the formalization correct?
[is the reasoning tool robust?]
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty +
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
fact
fact
….
STRUCTURAL
rule
rule
…..
CONTINGENT
→ it can be contested
were all the relevant rules considered?
were all the relevant facts given?
is the formalization correct?
[is the reasoning tool robust?]
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL LEGALISM ideal works
only in so far we forget all what may go wrong
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
is this all?
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) +
instrumentality (contextual policy goals) +
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) +
instrumentality (contextual policy goals) +
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
these goals
could be made explicit
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) +
instrumentality (contextual policy goals) +
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
these goals
could be made explicit
can we be sure about a certain
formalization?
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) +
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
these goals
could be made explicit
never.
can we be sure about a certain
formalization?
(cf. discussions on
universal human
rights, ethical
frameworks)
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) +
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
these goals
could be made explicit
may we be ever ready for that?
(explicit articulation of
policy-maker purposes)
never.
can we be sure about a certain
formalization?
(cf. discussions on
universal human
rights, ethical
frameworks)
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
these goals
could be made explicit
may we be ever ready for that?
(explicit articulation of
policy-maker purposes)
not to a full extent.
never.
can we be sure about a certain
formalization?
(cf. discussions on
universal human
rights, ethical
frameworks)
(it may require to be transparent on
highly contestable issues)
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
statistical closure logical closure
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
those principles
could be to some
extent formalized as
meta-rules
these goals
could be made explicit
may we be ever ready for that?
(explicit articulation of
policy-maker purposes)
not to a full extent.
never.
can we be sure about a certain
formalization?
(cf. discussions on
universal human
rights, ethical
frameworks)
(it may require to be transparent on
highly contestable issues)
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
people or other actors should
be able to appeal
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
let’s accept we need to integrate
systematically feedbacks from
higher-order courts, jurisprudence or
other normative sources
people or other actors should
be able to appeal
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
let’s accept we need to integrate
systematically feedbacks from
higher-order courts, jurisprudence or
other normative sources
people or other actors should
be able to appeal courts or other actors should
be able to cassate
including computational actors
possibility of continuous, automated testing/verification
code-driven law
data-driven law
text-guided law
legal norms or policies that have been
articulated in computer code
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
let’s accept we need to integrate
systematically feedbacks from
higher-order courts, jurisprudence or
other normative sources
people or other actors should
be able to appeal courts or other actors should
be able to cassate
including computational actors
(possibility of continuous, automated testing/verification)
code-driven law
data-driven law
text-guided law
derived from legal norms or policies that
have been articulated in computer code
(or derived from other methods)
lower authority w.r.t. human authorities!!!
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
let’s accept we need to integrate
systematically feedbacks from
higher-order courts, jurisprudence or
other normative sources
people or other actors should
be able to appeal courts or other actors should
be able to cassate
code-guided law
monolithical systems
ecological system including
interfaces with humans
including computational actors
(possibility of continuous, automated testing/verification)
code-driven law
data-driven law
text-guided law
derived from legal norms or policies that
have been articulated in computer code
(or derived from other methods)
lower authority w.r.t. human authorities!!!
legal activity performed by humans by
means of sources of norms such as
statute and case law decision support systems
legal certainty ?
justice (proportionality, distribution) ?
instrumentality (contextual policy goals) ?
data-guided law
automatic decision-making
derived from statistical/inductive
methods
the COMPUTATIONAL JUSTICE ideal
assumes perfect “conceptualization”
the COMPUTATIONAL LEGALISM ideal
works only in so far we forget all what
may go wrong
let’s accept things may go wrong at all level
let’s accept we need to integrate
systematically feedbacks from
higher-order courts, jurisprudence or
other normative sources
people or other actors should
be able to appeal courts or other actors should
be able to cassate
code-guided law
monolithical systems
ecological system including
interfaces with humans
a serious technological gap exists today...
Key points
● There is continuity between institutional and computational activities.
● We don’t need institutions to become more mechanical,
institutional constructs need to be brought into the computational realm.
● As we have a plurality of normative sources, we need a plurality of
computational normative sources.
normware
Key points
● There is continuity between institutional and computational activities.
● We don’t need institutions to become more mechanical,
institutional constructs need to be brought into the computational realm.
● As we have a plurality of normative sources, we need a plurality of
computational normative sources.
● Yet, this won’t solve all issues. Legalist standpoints may still undermine
justice. State with right does not coincide with State of right.
normware
even in computational terms...
Further (related) reading
“Normware” is very much a concept in progress, parts of this story can be found in:
Sileno, G., Of duels, trials, and simplifying systems, European Journal of Risk Regulation (2020).
Sileno, G., Boer, A., Gordon, G., Rieder, B., Like Circles in the Water: Responsibility as a System-Level Function,
Proceedings of 3rd XAILA workshop on Explainable AI and Law, in conjunction with JURIX (2020)
Sileno, G., Boer, A. and van Engers, T., The Role of Normware in Trustworthy and Explainable AI, Proceedings of
1st XAILA workshop on Explainable AI and Law, in conjunction with JURIX (2018)
Boer A., Sileno, G., Institutional Metaphors for Designing Large-Scale Distributed AI versus AI Techniques for
Running Institutions, in: “Anchoring Institutions”, 2021 (forthcoming), Springer
code-driven law?
Workshop on AI and border control, Edinburgh Law School (virtual), 15 June 2021
Giovanni Sileno, University of Amsterdam. g.sileno@uva.nl

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Code Driven Law?

  • 1. code-driven law? Workshop on AI and border control, Edinburgh Law School (virtual), 15 June 2021 Giovanni Sileno, University of Amsterdam. g.sileno@uva.nl
  • 2. Hildebrandt’s taxonomy code-driven law data-driven law text-driven law Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020) legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law automatic decision-making or predictions used in support derived from statistical/inductive methods
  • 3. Hildebrandt’s taxonomy code-driven law data-driven law text-driven law Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020) legal activity performed by humans by means of sources of norms such as statute and case law open-textured concepts multi-interpretability → it can be contested legal norms or policies that have been articulated in computer code automatic decision-making or predictions used in support derived from statistical/inductive methods
  • 4. Hildebrandt’s taxonomy code-driven law data-driven law text-driven law Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020) legal activity performed by humans by means of sources of norms such as statute and case law open-textured concepts multi-interpretability → it can be contested statistical closure logical closure legal norms or policies that have been articulated in computer code automatic decision-making or predictions used in support derived from statistical/inductive methods
  • 5. Hildebrandt’s taxonomy code-driven law data-driven law text-driven law Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020) legal activity performed by humans by means of sources of norms such as statute and case law open-textured concepts multi-interpretability → it can be contested statistical closure logical closure legal certainty + legal norms or policies that have been articulated in computer code automatic decision-making or predictions used in support derived from statistical/inductive methods
  • 6. Hildebrandt’s taxonomy code-driven law data-driven law text-driven law Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020) legal activity performed by humans by means of sources of norms such as statute and case law open-textured concepts multi-interpretability → it can be contested statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? legal norms or policies that have been articulated in computer code automatic decision-making or predictions used in support derived from statistical/inductive methods
  • 7. Hildebrandt’s taxonomy code-driven law data-driven law text-driven law Hildebrandt, M., Code Driven Law. Scaling the Past and Freezing the Future, In: Is Law Computable? Critical Perspectives on Law and Artificial Intelligence, eds. Markou, Deakin, Hart Publishers (2020) legal activity performed by humans by means of sources of norms such as statute and case law open-textured concepts multi-interpretability → it can be contested statistical closure logical closure COMPUTATIONAL LEGALISM legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? legal norms or policies that have been articulated in computer code automatic decision-making or predictions used in support derived from statistical/inductive methods
  • 8. code-driven law data-driven law text-driven law legal activity performed by humans by means of sources of norms such as statute and case law legal norms or policies that have been articulated in computer code automatic decision-making or predictions used in support derived from statistical/inductive methods statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ?
  • 9. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? in so far humans are involved data-guided law automatic decision-making derived from statistical/inductive methods
  • 10. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods instance + label instance + label instance + label instance + label ….. TRAINING DATASET
  • 11. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods instance + label instance + label instance + label instance + label ….. is the training data set representative of the domain in which it will be applied? is the rationality behind labeling still the same? TRAINING DATASET
  • 12. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods instance + label instance + label instance + label instance + label ….. is the training data set representative of the domain in which it will be applied? is the rationality behind labeling still the same? TRAINING DATASET is the training method producing adequate, reproducible, robust results? TRAINING METHOD
  • 13. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods instance + label instance + label instance + label instance + label ….. is the training data set representative of the domain in which it will be applied? is the rationality behind labeling still the same? TRAINING DATASET is the training method producing adequate, reproducible, robust results? TRAINING METHOD → it can be contested
  • 14. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods fact fact …. STRUCTURAL rule rule ….. CONTINGENT
  • 15. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods fact fact …. STRUCTURAL rule rule ….. CONTINGENT were all the relevant rules considered? were all the relevant facts given? is the formalization correct? [is the reasoning tool robust?]
  • 16. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty + justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods fact fact …. STRUCTURAL rule rule ….. CONTINGENT → it can be contested were all the relevant rules considered? were all the relevant facts given? is the formalization correct? [is the reasoning tool robust?]
  • 17. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong
  • 18. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods is this all?
  • 19. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) + instrumentality (contextual policy goals) + data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules
  • 20. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) + instrumentality (contextual policy goals) + data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules these goals could be made explicit
  • 21. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) + instrumentality (contextual policy goals) + data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules these goals could be made explicit can we be sure about a certain formalization?
  • 22. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) + data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules these goals could be made explicit never. can we be sure about a certain formalization? (cf. discussions on universal human rights, ethical frameworks)
  • 23. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) + data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules these goals could be made explicit may we be ever ready for that? (explicit articulation of policy-maker purposes) never. can we be sure about a certain formalization? (cf. discussions on universal human rights, ethical frameworks)
  • 24. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules these goals could be made explicit may we be ever ready for that? (explicit articulation of policy-maker purposes) not to a full extent. never. can we be sure about a certain formalization? (cf. discussions on universal human rights, ethical frameworks) (it may require to be transparent on highly contestable issues)
  • 25. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems statistical closure logical closure legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods those principles could be to some extent formalized as meta-rules these goals could be made explicit may we be ever ready for that? (explicit articulation of policy-maker purposes) not to a full extent. never. can we be sure about a certain formalization? (cf. discussions on universal human rights, ethical frameworks) (it may require to be transparent on highly contestable issues) the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization”
  • 26. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong
  • 27. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level
  • 28. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level people or other actors should be able to appeal
  • 29. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level let’s accept we need to integrate systematically feedbacks from higher-order courts, jurisprudence or other normative sources people or other actors should be able to appeal
  • 30. code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level let’s accept we need to integrate systematically feedbacks from higher-order courts, jurisprudence or other normative sources people or other actors should be able to appeal courts or other actors should be able to cassate
  • 31. including computational actors possibility of continuous, automated testing/verification code-driven law data-driven law text-guided law legal norms or policies that have been articulated in computer code legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level let’s accept we need to integrate systematically feedbacks from higher-order courts, jurisprudence or other normative sources people or other actors should be able to appeal courts or other actors should be able to cassate
  • 32. including computational actors (possibility of continuous, automated testing/verification) code-driven law data-driven law text-guided law derived from legal norms or policies that have been articulated in computer code (or derived from other methods) lower authority w.r.t. human authorities!!! legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level let’s accept we need to integrate systematically feedbacks from higher-order courts, jurisprudence or other normative sources people or other actors should be able to appeal courts or other actors should be able to cassate code-guided law monolithical systems ecological system including interfaces with humans
  • 33. including computational actors (possibility of continuous, automated testing/verification) code-driven law data-driven law text-guided law derived from legal norms or policies that have been articulated in computer code (or derived from other methods) lower authority w.r.t. human authorities!!! legal activity performed by humans by means of sources of norms such as statute and case law decision support systems legal certainty ? justice (proportionality, distribution) ? instrumentality (contextual policy goals) ? data-guided law automatic decision-making derived from statistical/inductive methods the COMPUTATIONAL JUSTICE ideal assumes perfect “conceptualization” the COMPUTATIONAL LEGALISM ideal works only in so far we forget all what may go wrong let’s accept things may go wrong at all level let’s accept we need to integrate systematically feedbacks from higher-order courts, jurisprudence or other normative sources people or other actors should be able to appeal courts or other actors should be able to cassate code-guided law monolithical systems ecological system including interfaces with humans a serious technological gap exists today...
  • 34. Key points ● There is continuity between institutional and computational activities. ● We don’t need institutions to become more mechanical, institutional constructs need to be brought into the computational realm. ● As we have a plurality of normative sources, we need a plurality of computational normative sources. normware
  • 35. Key points ● There is continuity between institutional and computational activities. ● We don’t need institutions to become more mechanical, institutional constructs need to be brought into the computational realm. ● As we have a plurality of normative sources, we need a plurality of computational normative sources. ● Yet, this won’t solve all issues. Legalist standpoints may still undermine justice. State with right does not coincide with State of right. normware even in computational terms...
  • 36. Further (related) reading “Normware” is very much a concept in progress, parts of this story can be found in: Sileno, G., Of duels, trials, and simplifying systems, European Journal of Risk Regulation (2020). Sileno, G., Boer, A., Gordon, G., Rieder, B., Like Circles in the Water: Responsibility as a System-Level Function, Proceedings of 3rd XAILA workshop on Explainable AI and Law, in conjunction with JURIX (2020) Sileno, G., Boer, A. and van Engers, T., The Role of Normware in Trustworthy and Explainable AI, Proceedings of 1st XAILA workshop on Explainable AI and Law, in conjunction with JURIX (2018) Boer A., Sileno, G., Institutional Metaphors for Designing Large-Scale Distributed AI versus AI Techniques for Running Institutions, in: “Anchoring Institutions”, 2021 (forthcoming), Springer
  • 37. code-driven law? Workshop on AI and border control, Edinburgh Law School (virtual), 15 June 2021 Giovanni Sileno, University of Amsterdam. g.sileno@uva.nl