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.
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…
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?
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.
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