Always
worth refining…
https://link.springer.com/chapter/10.1007/978-3-031-17040-9_4
Surveillance
Capitalism
Surveillance
capitalism hinges on the appropriation and commercialisation of
personal data for profit-making. This chapter spotlights three cases
connected to surveillance capitalism: data appropriation,
monetisation of health data and the unfair commercial practice when
“free” isn’t “free”. It discusses related ethical concerns
of power inequality, privacy and data protection, and lack of
transparency and explainability. The chapter identifies responses to
address concerns about surveillance capitalism and discusses three
key responses put forward in policy and academic literature and
advocated for their impact and implementation potential in the
current socio-economic system: antitrust regulation, data sharing and
access, and strengthening of data ownership claims of
consumers/individuals. A combination of active, working governance
measures is required to stem the growth and ill-effects of
surveillance capitalism and protect democracy.
Why
# 4? Isn’t that a serious change of direction?
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4261569
Prohibited
Artificial Intelligence Practices in the Proposed EU Artificial
Intelligence Act
As
artificial intelligence (AI) is becoming a more and more important
part of human lives, the initial hype about its many expected
benefits is gradually giving way to rising ethical concerns about its
inherent risks and dangers. In order to confront and contain the
most serious risks by way of the establishment of a legal framework
for trustworthy AI, the European Union released its proposal for an
Artificial Intelligence Act (AIA) in April 2021. The draft AIA
pursues a proportionate horizontal and risk-based regulatory approach
to AI, classifying AI broadly into the categories of unacceptable
risks, high risks, and low or minimal risks. The unacceptable risks
are those that are deemed to contravene Union values, and they are
therefore considered as “prohibited AI practices” by Article 5
AIA. The proposed prohibition covers four categories: 1) AI systems
deploying subliminal techniques, 2) AI practices exploiting
vulnerabilities, 3) social scoring systems, and 4)
“real-time” remote biometric identification systems.
These will be critically discussed in the present article.
Reality
or investor impression? Fake it ‘till you make it?
https://venturebeat.com/ai/5-ways-forrester-predicts-ai-will-be-indispensable-in-2023/
5
ways Forrester predicts AI will be “indispensable” in 2023
Forrester
Research’s recently-released predictions
report
for
artificial intelligence highlights what most have already observed:
AI
adoption
has evolved from an emerging, nice-to-have trend to experiment with
to a legitimate, must-do priority for enterprises.
Basically, get on board the AI train or be left
behind.
Anything new? My AI can ‘own’ a copyright and
can’t sue for the right to own it.
https://www.scirp.org/journal/paperinformation.aspx?paperid=120921
From
Animals to Artificial Intelligence: Non-Human Beings’ Intellectual
Property Protection by “Judicial Capacity for Copyrights”
Since artificial intelligence has completed the
process from the auxiliary tool of human creation to the independent
creation completion of works with formal appearance, it has brought
many legal issues that have caused widespread controversy. Among
them, whether artificial intelligence has the qualification of legal
subject and whether the products of artificial intelligence should be
protected by law is the focus of the problem. In the legal circle,
the involvement of the theme of “non-anthropocentrism” can be
traced back to the debate between animal legal personality and
non-human ecological rights. The Naruto v. Slater Monkey selfie case
and the Pigcasso light people’s debating about animal copyright,
and artificial intelligence provides a new research perspective and
reinvigorates the research on animal copyright. By means of the
analogy research of animals, humans and artificial intelligence, this
paper explores the rationality, necessity and feasibility of
investing non-human beings with quasi-legal subject qualification in
the special subdivision field of law—copyright. Quasi-legal
subject qualification means that artificial narrow intelligence and
animals are endowed with judicial capacity for copyrights and limited
capacity to act. At the same time, the designers of artificial
intelligence, animal breeders and the government and so on serve as
the quasi-guardian of artificial intelligence and animals. In
addition, artificial general intelligence and artificial super
general intelligence are endowed with completely independent legal
capacity to act, and the quasi-guardian system is terminated. The
quasi-guardian system is perfectly compatible with the existing legal
framework from the perspective of development. It protects the
ownerless intellectual property from the free lift, thereby helping
avoid the tragedy of the commons. Furthermore, it solves the problem
that animals and artificial narrow intelligence cannot independently
safeguard their rights and provides a forward-looking theoretical
model for the system construction of non-human copyright.
Who failed here? The AI or the plan to simply
plug an AI into a human job?
https://www.wsj.com/articles/robots-some-companies-find-only-humans-can-do-the-job-11667508854?mod=djemalertNEWS
Robots?
Some Companies Find Only Humans Can Do the Job
Robots are the future. In certain sectors,
however, that’s not anytime soon.
Companies have been trying out automatons to serve
food in restaurants, make home deliveries or do chores in stores,
partly in hopes of easing the worker shortage. But some of those
consumer-facing robots aren’t passing probation.
Among the disenchanted, FedEx Corp. said last
month it was powering down Roxo, its last-mile delivery robot, to
prioritize several “nearer-term opportunities,” a spokeswoman
said. Also in October, Amazon.com Inc. said it was ending field
tests of Scout, its home-delivery robot, after learning that some
aspects of its “unique delivery experience” weren’t “meeting
customers’ needs,” a company spokeswoman said.
Tools & Techniques. Worth a try?
https://www.makeuseof.com/best-speech-to-text-apps/
The 6 Best
Speech-to-Text Apps for Note-Taking
Tools & Techniques. Could we use this to
explain how an AI works?
https://arstechnica.com/information-technology/2022/10/replits-ghostwriter-ai-can-explain-programs-to-you-or-help-write-them/
Replit’s
Ghostwriter AI can explain programs to you—or help write them
… Replit says that Ghostwriter performs best
with JavaScript and Python but supports 16 languages, including C,
Java, Perl, Python, and Ruby. It also supports HTML and CSS for web
development and SQL for database queries.
Ghostwriter includes four main components:
Complete Code (which analyzes what you've written and suggests
continuations), Generate Code (which creates new code based on your
suggestions), Transform Code (which helps you refactor or modernize
code to fit standards), and Explain
Code (which analyzes existing code and explains its function using
natural language).