Rather harsh…
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5376145
Posthuman
Copyright: AI, Copyright, and Legitimacy
Copyright's
human authorship requirement is an institutional attempt to assert
legal, moral, and sociological legitimacy at a time of crisis. The
U.S. Copyright Office, the courts, and the so-called copyright
humanists, portray the requirement as a beacon of copyright's faith,
meant to protect authors in the AI era. The minimal threshold for
human authorship, however, forces us to question whether it is merely
rhetoric, which the law has always employed regardless of its
justification. This Article bridges the gap between doctrinal,
theoretical, socio-legal and constitutionalist scholarship, arguing
that human authorship is an ideology to which the law is only
nominally faithful. The Article analyzes the U.S.
Copyright Office's pronouncements, the D.C. Circuit ruling in Thaler
v. Perlmutter, and the pending case of Allen v. Perlmutter, arguing
that the Office's approach, despite its rhetoric, is not meant to
meaningfully stop the AI revolution. Whether interpreted broadly or
narrowly, the human authorship requirement is unlikely to protect the
interests of human authors in the AI era. Incorporating insights
from copyright history and theoretical debates about romantic
authorship, this Article argues that copyright has failed to protect
those interests for over a century, instead favoring the interests of
powerful corporations. If and when copyright becomes a regime for
robots, the question is whether that expansion will also primarily
benefit corporations. Arguably, copyright has never cared much for
human authors-and it is time to question if we should keep pretending
otherwise.
AI
criminals.
https://philpapers.org/rec/GROTBO-9
The
Birth of the Synthetic Outlaw
This
article explores the practical jurisprudential implications of
agentic artificial intelligence (AI)—entities that operate beyond
the assumptions of existing legal systems. We argue that current
constructs such as legal personhood, jurisdictional sovereignty, and
incentive-based compliance are insufficient to regulate highly
autonomous digital actors. Through the concept of the 'synthetic
outlaw,' we examine how these systems subvert legal norms not through
rebellion, but through optimization logic incompatible with moral and
legal constraint. We conclude by proposing a shift from ethics-based
governance to architectural constraint, and a re-imagination of legal
frameworks capable of addressing post-human agency.
Privacy
in the AI era…
https://www.scirp.org/journal/paperinformation?paperid=144580
Anonymity
in the Age of AI
Artificial
intelligence (AI) is eroding traditional de-identification practices
by enabling accurate re-identification of images, text and
behavioural traces. A systematic review of 64 peer-reviewed studies
published between 2013 and 2025—47 on technical privacy-enhancing
technologies (PETs) and 17 on the EU General Data Protection
Regulation (GDPR)—shows that no
single safeguard withstands modern adversaries. The most
resilient configurations layer differential privacy, federated
learning and partial homomorphic encryption, maintaining < 2%
accuracy loss on medical benchmarks while blocking current
model-inversion attacks, though at notable computational cost. The
legal literature reveals a coverage gap: GDPR protections are strong
during data collection and preprocessing but weaken during training,
inference and post-deployment reuse, when AI-specific risks peak.
Article 22 offers only partial defence against model-inversion and
prompt-leakage and learned embeddings or synthetic corpora often fall
outside the regulation’s definition of personal data. Effective
anonymity in the AI era, therefore, requires end-to-end PET adoption
and regulatory updates that specifically address behavioural
telemetry, embeddings and synthetic datasets.
Tools
& Techniques. (Perhaps I can automate my blog...)
https://www.xda-developers.com/transform-any-article-into-a-distraction-free-ebook-with-this-open-source-app/
Transform
any article into a distraction-free eBook with this open-source app
I
have an odd problem that I've been trying to find a solution to. As
an avid fan of RSS feeds, I like to sift through thousands of
interesting nuggets of info and headlines every day. However, I'm
also trying to reduce my screen time. Moreover, the increasingly
algorithm-driven news cycles have made me feel like I'm losing
control over the information I consume. Now, most of us newshounds
rely on read-it-later services, but these are increasingly ridden
with ads, locked behind subscriptions, locked to specific platforms,
or, shudder, pivoting to AI-enabled recommendations. Basically, if
you, like me, prefer to use an eReader for your reading and prefer a
clutter-free long-form experience, these options fall short.
This
is where Readeck
steps
in. This free and open-source project can transform any article from
the internet into a distraction-free eBook. It can even transform a
collection of articles into an eBook. And it does so with remarkable
elegance, stripping out all the extraneous ads and images. You host
the app on your own, obviously own the data, and customize it to fit
your reading habits. Better still, there are no subscriptions or
walled gardens to worry about.