Tread
carefully. What you learn as faith is rarely changed by facts.
https://www.tandfonline.com/doi/abs/10.1080/09537325.2022.2106422
Correlation
of Christian ethics and developments in artificial intelligence
In
the traditional understanding, Christian ethics touches upon issues
of morality and the general structure of a human as a person. At the
same time, Christian ethics does not touch upon questions and does
not impose restrictions on the development of scientific principles
and methodological structures of knowledge of the surrounding world.
That is, Christian ethics allows and encourages the exploration of
created space. The novelty of the study is fact that the
understanding of the importance of artificial intelligence is based
primarily on the belief that there is a need to develop boundaries
where artificial intelligence is capable of making a decision that
will not be approved by humans. The
authors show that the creation of such a technology runs counter to
the values of a religious nature and Christianity, in particular,
due to the representation of freedom of technology, which has moral
convictions not based on the principles of humanism. The study
compares and develops the main criteria for correlating the
sufficiency of ethical norms and the requirements of technological
advancement. A promising question for further discussion is the
question of the artificial intelligence's deliberate lack of
attachment to a particular morality, including extreme or aggressive
worldviews.
Past
time for a start.
https://ieeexplore.ieee.org/abstract/document/9844014
An
Overview of Artificial Intelligence Ethics
Artificial
intelligence (AI) has profoundly changed and will continue to change
our lives. AI is being applied in more and more fields and scenarios
such as autonomous driving, medical care, media, finance, industrial
robots, and internet services. The widespread application of AI and
its deep integration with the economy and society have improved
efficiency and produced benefits. At the same time, it will
inevitably impact the existing social order and raise ethical
concerns. Ethical issues, such as privacy leakage, discrimination,
unemployment, and security risks, brought about by AI systems have
caused great trouble to people. Therefore, AI ethics, which is a
field related to the study of ethical issues in AI, has become not
only an important research topic in academia, but also an important
topic of common concern for individuals, organizations, countries,
and society. This paper
will give a comprehensive overview of this field by summarizing and
analyzing the ethical risks and issues raised by AI, ethical
guidelines and principles issued by different organizations,
approaches for addressing ethical issues in AI, methods for
evaluating the ethics of AI. Additionally, challenges in
implementing ethics in AI and some future perspectives are pointed
out. We hope our work will provide a systematic and comprehensive
overview of AI ethics for researchers and practitioners in this
field, especially the beginners of this research discipline.
Stuff
I didn’t know, but should have.
https://www.wvnews.com/news/wvnews/rank-one-computing-aims-to-expand-ai-facial-recognition-software-throughout-west-virginia-united-states/article_afb73068-14e8-11ed-a723-2fe1647a2358.html
Rank
One Computing aims to expand AI, facial recognition software
throughout West Virginia, United States
Hoping
to expand the United States’ use of domestic artificial
intelligence technology, Rank One Computing (ROC) has set up its East
Coast headquarters in West Virginia, where officials hope to find
more customers for the company’s facial recognition software, as
well.
Stationed
primarily in Colorado, Rank
One Computing has its East Coast headquarters at Vantage Ventures in
Morgantown. CEO Scott Swann described Rank One Computing as a
“computer vision” company, and said the group’s facial, object
and text recognition software is able to help in a wide array of
industries and scenarios.
… “They
use our technology on mobile phones to help identify particular
encounters of people,” Swann said. “We run extremely lean, so we
lend ourselves to doing that kind of edge processing. Within law
enforcement, we service these larger scale ‘one-to-many’ face
recognition systems for forensic uses. In the commercial sector,
we’re doing a lot in (financial) tech. It’s called identify
proofing, but it’s essentially the process of taking a picture of
your face and a picture of your credentials, and then you get some
sort of authorized transaction.”
Everybody’s
doing it.
https://chicagounbound.uchicago.edu/cjil/vol23/iss1/13/
Clearview
AI, TikTok, and the Collection of Facial Images in International Law
Private
companies’ collection of facial images is on the rise globally,
which has major implications for both economic development and
privacy laws. This Comment uses the facial recognition technology
company Clearview AI and the video sharing app TikTok as case studies
to examine the problems raised by these practices. After summarizing
the relevant legal regimes created by the United Nations (U.N.) and
the European Union (E.U.), it applies the E.U. privacy regime to
TikTok’s most recent Privacy Policy. The Comment concludes by
proposing updates to the E.U. and U.N. privacy regimes to more
effectively regulate TikTok’s data collection and analogous
business practices. These proposed updates include treating all
facial images as special category biometric data under the E.U.
regime and amending the U.N. regime to specifically cover digital
privacy.
During the war…
http://ekmair.ukma.edu.ua/bitstream/handle/123456789/23548/Avdieieva_Mahisterska_robota.pdf?sequence=1
FACIAL
RECOGNITION TECHNOLOGIES AND THEIR INFLUENCE ON HUMAN RIGHTS:
INTERNATIONAL AND COMPARATIVE LAW ASPECTS
Snowden’s revelations of 2013 served as a
turning point for conspiracy theories to become a new reality,
raising a groundful concern regarding the bulk State interference
with one’s privacy. Interception of e-mails and phone
communications, profiling of activists, recording of peaceful
protests are the classic examples of State surveillance done under
the auspices of national security and public order protection.
Modern technologies made surveillance more
sophisticated, all-encompassing, and intrusive. Biometric
identification becomes easier given the incorporation of the FRT into
the video cameras. They enable identification (comparing recorded
individuals with a list of wanted persons), verification of identity
(checking whether a particular individual is the one recorded), and
categorisation (defining how many people of certain gender or
ethnicity were recorded).1 Such systems are often equipped with
classificatory of facial expressions and emotions,2 as well as AI
algorithms detecting the obstructed or poorly lit targets.
Accordingly, the FRT afford increased effectiveness, granting law
enforcement additional powers in surveilling individuals.
The same requirement for a DNA test?
https://www.pogowasright.org/ma-supreme-judicial-court-rules-consent-required-for-blood-alcohol-test/
MA: Supreme
Judicial Court rules consent required for blood alcohol test
Shira
Schoenberg reports:
The police cannot test a person’s blood
to determine blood alcohol content without that person’s consent,
even if the person authorized the blood draw itself, the Supreme
Judicial Court ruled Friday.
It
is well-established law that the police cannot order a blood test
without a person’s consent, in order to protect the safety of both
the subject and medical personnel. But the SJC was presented with a
unique drunk
driving case in
which the driver, Eric Moreau, was taken to the hospital after a
collision and agreed
to a blood test for medical purposes.
The Gardner police then obtained a warrant for his blood and tested
it to determine his blood alcohol content. Based on the results,
Moreau was charged with operating under the influence and negligent
driving.
Read
more at CommonWealth.
A field of law that is changing. Does this
predict how?
https://repository.law.uic.edu/facpubs/894/
Antitrust's
AI Revolution, 89 Tenn. L. Rev. 679 (2022)
Antitrust law operates like an algorithm. Its
lodestar, the rule of reason, is a black box. Unlike most other
areas of the law, judges, not Congress, write the rules and sometimes
in surprisingly capricious ways. These rules govern everything from
Google and Facebook's “killer acquisitions” to vaccine
development agreements during a pandemic. Injecting artificial
intelligence (AI) into antitrust analysis seems prosaic, but in fact,
it is revolutionary. Courts routinely lean on ideology as a
heuristic when they must interpret the rule of reason in light of
economic theory and evidence. Chicago School conservatism reined in
some excesses of earlier populist and structuralist movements, but it
also hampered antitrust enforcement and systemically penalized
plaintiffs. Scholars widely agree Chicagoan antitrust overshot its
mark and failed to protect consumers against corporate hegemony.
Widespread anxiety over excessive private power recently spawned a
chorus of voices beckoning a return to antitrust law's populist past.
None seem to realize the fix lies in embracing new technology rather
than new ideology. This Article bridges two dominant streams of
antitrust scholarship for the first time. First, it shifts the focus
from AI as a collusive threat to its potential as a forensic and
predictive tool to build the rule of reason from the bottom-up based
on big data and computing power rather than top-down with wonky
ideology. Second, this new method of algorithmic adjudication
presents a new normative paradigm to replace Chicagoan fears of
judicial inaptitude and false positives with a truly evidence-based
alternative, particularly when dealing with cases involving nascent
acquisitions and intellectual property rights. In getting down to
the brass tacks, this Article confronts well-known concerns with AI
deployment--bias, accountability, and data availability. It explains
that these concerns, while legitimate, can be significantly mitigated
or, in some cases, comprehensively addressed. The Article concludes
by reflecting on the broader implications of algorithmic adjudication
beyond antitrust law by discussing atextualism in action, algocracy
and the common law, and the implications of plaintiff success to the
rule of law.
Tools & Techniques. Could be handy.
https://www.freetech4teachers.com/2022/08/how-to-quickly-broadcast-your-screen-to.html
How to
Quickly Broadcast Your Screen to Your Students' Screens
A
few months ago I published an
overview of DisplayNote Broadcast. It's
a tool that you can use to broadcast your screen to your students'
laptop or tablet screens. Shortly after I published my initial
overview DisplayNote
Broadcast added
a
Google Slides and Classroom integration.
The latest update is a
Chrome extension that you can use to share your screen with just a
couple of clicks.
In
the short video that is embedded below I demonstrate how
to broadcast your screen to your students' screens by
using the Display Note Broadcast Chrome extension.