Mastodawn

Deepfakes, which are AI-generated videos, audio clips, and images, are beginning to appear in legal disputes around the world. Indian courts will soon face the same challenge.

#Deepfakes #DigitalEvidence #IndianJudiciary #JudicialReform #AIandLaw

https://sivaprasadbose.wordpress.com/2025/11/25/deepfakes-are-coming-to-indian-courtrooms/

Deepfakes Are Coming to Indian Courtrooms

Deepfakes, which are AI-generated videos, audio clips, and images, are beginning to appear in legal disputes around the world. Indian courts will soon face the same challenge. When digital evidence…

Siva Prasad Bose

The Internet is Crack Nov 15

Why Emotional Reactions to Chatbots Deserve Serious Thought

Dr. David Gunkel reminds us that emotions toward chatbots are real human experiences and can’t be written off as simple misunderstandings. In the full episode, we go further — discussing machine creativity, legal recognition of AI systems, and what these changes mean for human originality moving forward.

🎙️ Full episode: https://youtu.be/MnxiXruwmC8

#AIEthics #Chatbots #HumanEmotion #AIandLaw #TechPodcast #FediverseTech

Andreas Wagner Nov 5

I'm at the AI and Law conference in Tübingen and have just heard a MARVELOUS keynote lecture by Sylvie Delacroix on preserving productive uncertainty in designing AI systems. It reminded me of (among other things) an idea brough up by @andreaskuczera at #DHd2025 : How about allowing (or incentivizing) usage of AI systems in research only in scenarios where you are not sitting alone in front of the system, but use it exclusively in group settings from the outset?

A glimpse of what Delacroix discussed can be gleaned from: https://doi.org/10.1007/s11023-025-09736-x

Here is the conference webpage: https://ailawinstitute.de/conference-for-ai-and-law/

I guess I may post some more thoughts today and tomorrow with the hashtag #AIandLaw

Designing with Uncertainty: LLM Interfaces as Transitional Spaces for Democratic Revival - Minds and Machines

The integration of large language models (LLMs) into our conversational infrastructure presents a critical inflection point for democratic practice. While contemporary digital platforms systematically erode transitional conversational spaces—interfaces between private intuition and public deliberation where tentative thoughts can be explored—this paper argues that specialized LLM interfaces could potentially reconstruct these essential democratic environments. I propose a design framework for ‘transitional conversational spaces’ that leverages uncertainty expression not merely to prevent unwarranted epistemic confidence but to create communicative environments conducive to democratic capability development. Drawing on theories of democratic deliberation and moral perception, this paper distinguishes between epistemic uncertainty (addressable through additional information) and hermeneutic uncertainty (concerning the inherently contestable nature of interpretation). The proposed framework emphasizes ‘ensemble interfaces’ that make visible the contingent nature of value judgments by presenting outputs from multiple models trained on different datasets. The design principles outlined challenge tokenistic participation by advocating for substantive participatory infrastructure with features like ‘tinkerability’—enabling communities to experiment with system configurations—and mechanisms that counter designer-centric development models. These principles stand in contrast to conventional ‘participatory AI’ approaches that treat engagement as merely instrumental to system optimization rather than as constitutive of democratic practice. This paper does not claim to solve all challenges of democratic participation but rather identifies one valuable design direction that could potentially enhance our collective capacity for exploratory dialogue. Implementation would require institutional transformations that align technological development with democratic values beyond current procedural approaches to AI governance.

SpringerLink

Yasemin Yurttaş Sep 25, 2025

I Spoke at the Connect AI Summit today about Rights Violations, Ethical Risks, and Legal Solutions in the Age of AI. I’m grateful for the thoughtful discussions and looking forward to continuing the conversation here as well. #AIAge #EthicalAI #AIandLaw #RightsInAI #AIrisks #RightsInAI #AIRegulation #ResponsibleAI

ScienceOpen Aug 8, 2025

'The Role and Position of AI Evidence in Civil Litigation' - an article published in 𝘔𝘦𝘥𝘪𝘤𝘪𝘯𝘦, 𝘓𝘢𝘸 𝘢𝘯𝘥 𝘚𝘰𝘤𝘪𝘦𝘵𝘺 on #ScienceOpen -

From University of Maribor Press:
🔗 https://www.scienceopen.com/document?vid=1e7c6cd6-3e01-4b04-999e-e4b91d710877

#AIEvidence #EvidenceLaw #CivilLitigation #AIandLaw #LegalTech

The Role and Position of AI Evidence in Civil Litigation

<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d11329083e57"> This article examines the role and position of AI evidence in civil litigation. Despite the sporadic appearance of such evidence in court proceedings, it has the potential to revolutionize the evidential field and change our understanding of the nature and evidential qualities of existing types of evidence. After a thorough examination of the key technical specifications of AI, different classifications of AI evidence and various approaches to treatment of AI evidence, the author suggests how AI evidence should be treated according to the Slovenian Civil Procedure law. It is inferred that standard evidence rules can be applied to AI evidence, if the probative value of such evidence does not depend on the AI involved. In cases where probative value of evidence depends on the involved AI system, AI evidence can nevertheless be treated as witness or expert evidence, or, precisely, as ex parte affidavit or private expert opinion depending on the level of human or AI contribution to the content of AI evidence. The author concludes that black box and bias problems of AI systems generating evidence have to be properly addressed in order for AI evidence to achieve full evidential value and reliability. </p>

ScienceOpen

The Internet is Crack Jul 20, 2025

AI Is Reshaping Big Law—and Raising Big Questions

#TheInternetIsCrack #AIandLaw #LegalTech #EthicsInAI #AutomationAndJustice

Agustin V. Startari Jul 16, 2025

New release – Compiled Norms: Towards a Formal Typology of Executable Legal Speech

🔍 Key contributions:
• Formal grammar criteria
• Validation schema with κ = 0.81 inter-rater agreement
• Parser hot-swap to Spanish civil-law tokens (95 % coverage)

📄 Full paper: https://doi.org/10.5281/zenodo.15881325

#LegalInformatics
#AIandLaw
#SyntacticAuthority
#eGovernance
#FormalGrammar
#LegalTech
#agustinvstartari
#ArtificialIntelligence
#HumanitiesCommons
#social
#Law

Compiled Norms: Towards a Formal Typology of Executable Legal Speech

Abstract This article introduces a formal typology of executable legal speech. Building on the concept of the regla compilada (compiled rule), it identifies the syntactic conditions under which a legal expression becomes executable by non-human systems. The analysis distinguishes declarative from compiled legal language and proposes four structural criteria for computability: position within the Chomsky grammar hierarchy, closure of rule structure, level of semantic ambiguity, and determinism of parsing. Instead of interpreting legal meaning, the article isolates the formal properties that permit legal norms to function as executable code. The objective is to define a machine-readable grammar of authority in which execution displaces interpretation, and structural form triggers legal action. DOI: https://doi.org/10.5281/zenodo.15881325 This work is also published with DOI reference in Figshare https://doi.org/10.6084/m9.figshare.29562293 and Pending SSRN ID to be assigned. ETA: Q3 2025. Resumen Este artículo introduce una tipología formal del lenguaje legal ejecutable. A partir del concepto de regla compilada, identifica las condiciones sintácticas bajo las cuales una expresión jurídica se vuelve ejecutable por sistemas no humanos. El análisis distingue entre lenguaje jurídico declarativo y lenguaje jurídico compilado, y propone cuatro criterios estructurales para su computabilidad: posición en la jerarquía gramatical de Chomsky, cierre de la estructura normativa, nivel de ambigüedad semántica y determinismo en el parsing. En lugar de interpretar el significado legal, el artículo aísla las propiedades formales que permiten que las normas jurídicas funcionen como código ejecutable. El objetivo es definir una gramática de la autoridad legible por máquinas, en la que la ejecución reemplace a la interpretación y la forma estructural active la acción jurídica.

Zenodo

Martine Mussies

Jul 7, 2025

I’m truly grateful my article "Too Cute to Be a Crime? AI-Generated Lolita Aesthetics and the Legal Limits of Synthetic Girlhood on TikTok" has been published in the International Journal for Crime, Law and AI.

I hope that this will be a small step towards understanding how technology reshapes law and culture.
https://www.academia.edu/130116050/Too_Cute_to_Be_a_Crime_AI_Generated_Lolita_Aesthetics_and_the_Legal_Limits_of_Synthetic_Girlhood_on_TikTok

#AIResearch #DigitalCulture #TikTok #LolitaAesthetics #SyntheticMedia #LawAndTech #MediaStudies #AIandLaw #ContentAnalysis #Lolita #AI #MediaScholar #SocialMedia