[Theory] 4/30 IDEAL Workshop: Evaluation and Accountability: Technologies for Law

Mary Marre mmarre at ttic.edu
Tue Apr 27 15:40:55 CDT 2021


April 30th 2021Upcoming IDEAL Workshop:
Evaluation and Accountability: Technologies for Law
 Please join us for an upcoming IDEAL Workshop on Friday, April 30th,
12:00-4:00pm CDT. Details about our speakers and their talks can be
found below.

   - *Location:* Talks and General Q&A on Zoom; small-group discussions
   during intermissions on Gather.Town. Further details to come.


   - *Registration:* Registration
   <https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=19ebef7399&e=01c4c9f9ea>
is
   free but required. Attendees must register on Zoom to receive a
   personalized link. Login information for Gather.Town will be provided via
   email.

---------------------------------------------------------------------------

If you have registered to participate in the Spring 2021 special quarter,
<https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=b84ff3c104&e=01c4c9f9ea>
please
join us for the seminar in the same Gather.town space where you attended
our previous seminars. You are also invited to hang out for the half hour
before and after each talk in the Gather space and socialize with the other
participants in the IDEAL special quarter. If you are having trouble
accessing Gather, you may use the Zoom links provided instead. However, we
encourage you to try using the Gather platform first.

*About this series*

The IDEAL workshop series brings in experts on topics related to the
foundations of data science to present their perspective and research on a
common theme. This virtual workshop will feature four talks and discussion
sessions.

This workshop is part of the Special Quarter on Data Science and Law
<https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=e1ccf7ff01&e=01c4c9f9ea>,
co-organized by Northwestern Professors Jason D. Hartline
<https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=9feac7bf61&e=01c4c9f9ea>
 and Daniel W. Linna Jr.
<https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=54cfca2c80&e=01c4c9f9ea>

*Synopsis*

Courts, administrative agencies, lawyers, and legal professionals
increasingly use computational technologies in the delivery of legal
information and services, allocation of benefits, enforcement of laws and
regulations, and resolution and adjudication of disputes. Computational
technologies hold great promise for improving legal services, legal
systems, and access to justice. At the same time, the use of these
technologies presents risks and raises important questions. This workshop
focuses on evaluation and accountability. How do we evaluate effectiveness
and measure the impact of technologies for law? How do we ensure
accountability, including that uses of technologies for law comport with
laws, regulations, and legal principles? Our speakers (Cary Coglianese,
Joan Feigenbaum, Maura Grossman, and JJ Prescott) will present their
research related to these topics.

*Logistics*

   - Date: Friday, April 30, Noon to 4:00 p.m. Central Time (Chicago time)
   - Location: Talks and General Q&A on Zoom; small-group discussions
   during intermissions on Gather.Town
   - Free Registration: Attendees must register
   <https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=37c2fe5173&e=01c4c9f9ea>
on
   Zoom to receive a personalized link. Login information for Gather.Town will
   be provided via email.

*Speakers*

   - JJ Prescott
   <https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=0000b2c045&e=01c4c9f9ea>
(University
   of Michigan Law School)
   - Maura Grossman
   <https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=81c38d6b5f&e=01c4c9f9ea>
(University
   of Waterloo, Computer Science)
   - Cary Coglianese
   <https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=fd75ef880b&e=01c4c9f9ea>,
   (University of Pennsylvania, Law School)
   - Joan Feigenbaum
   <https://northwestern.us20.list-manage.com/track/click?u=3fc8e0df393510ea0a5b018e1&id=8fdd53fbdf&e=01c4c9f9ea>
(Yale
   University, Computer Science)

*Schedule*

   - *12:00 – 12:30: *JJ Prescott
   - *12:30 – 1:00: *Maura Grossman
   - *1:00 – 1:15: *Q&A for both speakers
   - *1:15 – 2:00: *Small-Group Discussions on Gather.Town
   - *2:00 – 2:30: *Cary Coglianese
   - *2:30 – 3:00: *Joan Feigenbaum
   - *3:00 – 3:15: *Q&A for both speakers
   - *3:15 – 4:00: *Small-Group Discussions on Gather.Town
   - *4:00- *End (Gather.Town remains open to those who wish to continue
   discussions and network)

*Abstracts *

*Title:*
*Speaker:* JJ Prescott
*Abstract: *TBA

*Title: *Unexpected Challenges on the Road to Quantitative Evaluation of
Legal Technology
*Speaker:* Maura Grossman
*Abstract: *Professor Grossman will share some of the surprising trials and
tribulations she has encountered during over a decade of efforts aimed at
the quantitative evaluation of legal technology, specifically, in the realm
of technology-assisted review (“TAR”) in electronic discovery.

*Title: *Administrative Law and the Future of an Automated State
*Speaker:* *Cary Coglianese*
*Abstract: *In the future, administrative agencies will rely increasingly
on digital automation powered by machine learning algorithms. Can U.S.
administrative law accommodate such a future? Not only might a highly
automated state readily meet longstanding administrative law principles,
but the responsible use of machine learning algorithms might perform even
better than the status quo in terms of fulfilling administrative law’s core
values of expert decision-making and democratic accountability. Algorithmic
governance clearly promises more accurate, data-driven decisions. Moreover,
due to their mathematical properties, algorithms might well prove to be
more faithful agents of democratic institutions. Yet even if an automated
state were smarter and more accountable, it might risk being less empathic.
Although the degree of empathy in existing human-driven bureaucracies
should not be overstated, a large-scale shift to government by algorithm
will pose a new challenge for administrative law: ensuring that an
automated state is also an empathic one.

*Title:*
*Speaker:* *Joan Feigenbaum*
*Abstract: *TBA
Hope to see you all there virtually!
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