Law Professor @lawinmaastricht | Technolawgist @ Maastricht Law & Tech Lab | Empirical Legal Research | AI in Law | Tort Law | Homeruns are cool
Joined March 2019
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Gijs van Dijck (@[email protected]) retweeted
fun fact: last time JURIX was in Maastricht was in 1995, in the very same room that will also be in the next few days. check the (vintage) program here and reflect on how #legaltech has evolved with the huge impact of #NLProc progress
ai.rug.nl/~verheij/jurix95//…
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Gijs van Dijck (@[email protected]) retweeted
This week (18-20/12) @maaslawtech is happy to host #JURIX2023. It's going to be the biggest version so far with ~150 participants and a heavy program compiled by PC @gsileno
📅 jurix23.maastrichtlawtech.eu…
cc: @GDlawtech @FascinatingTech @a_a_tamo
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Duo jaagt op 'frauderende' studenten met een algoritme. 97% van de 'fraudeurs' blijkt een migrantenachtergrond te hebben. De cijfers en verhalen zijn ronduit schokkend. Duo gelooft niet dat het iets verkeerd doet en... /1
Het enige goede nieuws is dat dit soort praktijken over een aantal jaar, als de AI Act in werking is getreden, beter kunnen worden aangepakt. Maar daar hebben de slachtoffers van nu weinig aan. /7
Voor meer informatie, zie o.a. groene.nl/artikel/ik-dacht-g…, nos.nl/op3/artikel/2479700-s…, of trouw.nl/onderwijs/student-m… 8/8
Gijs van Dijck (@[email protected]) retweeted
Exciting developments in using AI for good in legal domain: detection tools, enforcement platforms, browser extensions, accountability automation, and more.
Highlights below ⬇️
#AIforGood #LegalTech
Gijs van Dijck (@[email protected]) retweeted
Is it possible to acknowledge that LLMs like ChatGPT are in some sense 'powerful' without playing into the hands of the AGI cultists and the big tech firms boosting them? I think so, and I'd even say that properly confronting them actually requires it.
Gijs van Dijck (@[email protected]) retweeted
VendorLink of @vageeshsaxena 🛫 (w/@Nils_Rethmeier @GDlawtech): DarkNet anonymity allows vendors to change names or move between markets. VendorLink examines writing patterns and verifies, identifies and links unique vendor accounts using data from 7 public DarkNet markets >> 2/5
ALT VendorLink framework proposal
Art. 4(1) AI Liability Act: national courts shall presume (...) the causal link between the fault of the defendant and the [AI system], where all of the following conditions are met: (...)
(c) (...) the claimant has demonstrated that the [AI system] gave rise to the damage.
Gijs van Dijck (@[email protected]) retweeted
Join us for the hybrid event 'Bridging the gap between Logic and NLP-based Approaches for Automating Regulatory Compliance' on 13 September 2022 from 3:00 PM to 5:00 PM CEST. More information and registration can be found here: maastrichtuniversity.nl/even…
Gijs van Dijck (@[email protected]) retweeted
The key dates for the NLLP 2022 workshop at
@emnlpmeeting are:
Submission deadline ― 26 September 2022
Notification ― 12 October 2022
ARR Commitment deadline ― 15 October 2022
Camera ready ― 26 October 2022
Full details: nllpw.org/workshop/call/
#nlproc #legaltech #law #nllp
Gijs van Dijck (@[email protected]) retweeted
The first Call for Papers for the NLLP 2022 workshop at @emnlpmeeting is out!
Submission deadline - 26 September
nllpw.org/workshop/
If you're interested in helping out with reviewing, please contact us: [email protected]
#nlproc #legaltech #law #computationallaw
Come join us for a wonderful summer internship on law and tech!
The @maaslawtech is launching a new summer internship program! Apply and come work with a great team of interdisciplinary researchers: maastrichtuniversity.nl/news… @GDlawtech @rnanda_17 @SectorplanDLS
Gijs van Dijck (@[email protected]) retweeted
@rnanda_17 and the Law and Tech Lab were awarded a grant from the European Commission for a project called FACILEX. The project focuses on judicial cooperation in criminal matters and mutual recognition models in the EU. There is a gap between EU law and national law, (1/3)
Gijs van Dijck (@[email protected]) retweeted
At the Maastricht Law and Tech Lab, we developed GraphDoc, a *free*, #opensource, and user-friendly interface that allows building decision trees. The output can be pasted or loaded into Docassemble, also a free and open-source expert system for guided interviews.