A good explainer...
The Edge: What Does It Mean For AI (Artificial Ingelligence)?
The edge is an end point where data is generated through some type of interface, device or sensor. Keep in mind that the technology is nothing new. But in light of the rapid innovations in a myriad of categories, the edge has become a major growth business.
“The edge brings the intelligence as close as possible to the data source and the point of action,” said Teresa Tung, who is the Managing Director at Accenture Labs. “This is important because while centralized cloud computing makes it easier and cheaper to process data at scale, there are times when it doesn’t make sense to send data off to the cloud for processing.”
For those of us keeping score… “Crossing the line” came much later for social media than it did for most of the rest of the world.
All the platforms that have banned or restricted Trump so far
Do we need your permission to prevent the next pandemic?
https://www.jacr.org/article/S1546-1440(20)30965-0/abstract
Rethinking Patient Consent in the Era of Artificial Intelligence and Big Data
Electronic data allow health care workers and industry to analyze large data sets for population health and to develop artificial intelligence (AI) tools. Researchers may find patterns in the data to prevent disease, understand disease risk and cause, improve diagnosis, develop new treatments, improve patient safety, and evaluate health care policy. These new uses of massive amounts of patient data often result in retrospective data mining for purposes not anticipated when patients consented to allow their data to be used.
Interesting.
https://link.springer.com/article/10.1007/s43681-020-00030-3
Who pays for ethical debt in AI?
Many Artificial Intelligence (e.g., Machine Learning) tools are being developed with ethical debt. They are created and deployed without fully examining and addressing the potential ethical consequences. This paper looks more closely at the concept of ethical debt in Artificial Intelligence and its consequences. The analysis focuses on two prevalent use cases: Artificial Intelligence as a vehicle for screening job applicants and Artificial Intelligence as a predictor for those patients who will require extra healthcare services. The analysis also compares and contrasts the similarities and differences surrounding the concepts of ethical debt versus technical debt. The paper concludes with a discussion on the misalignment between those who decide to incur ethical debt and those who end up paying for that decision.
AI is impacting law, what a surprise!
https://e-journal.unair.ac.id/YDK/article/view/24033/13174
ARTIFICAL INTELLIGENCE AS DISRUPTION FACTOR IN THE CIVIL LAW: IMPACT OF THE USE OF ARTIFICAL INTELLIGENCE IN LIABILITY, CONTRACTING, COMPETITION LAW AND CONSUMER PROTECTION WITH PARTICULAR REFERENCE TO THE GERMAN AND INDONESIAN LEGAL SITUATION
The Article describes the impact of artificial intelligence in different areas of the civil law, namely tort law, contract law, antitrust law and consumer protection law. It shows that the use of artificial intelligence already leads to legal constellations, which cannot longer easily subsumized under elementary terms of the civil law and therefore cause a real disruption in the civil law. Terms, which are based on a freedom concept of the subjective rights of the actors, such as private autonomy and contractual will not fit anymore to the activity of artificial intelligence systems the more those systems are able to act independant of human actors. Similar applies to terms which are referring to the freedom of decision like the market behaviour in the competition law. The article discusses several solution approaches, such as personification approches, agent-principal approaches and the definition of new categories of market and contractual acting. In the consumer protection the special focus in the future legal development will be on the problem how to achieve adequate, though not overflowing, transparency for consumers, especially regarding the combination of big data and algorithms.
(Related)
https://www.neliti.com/publications/331888/artificial-intelligence-impact-on-the-legal-sphere
Artificial Intelligence Impact on the Legal Sphere
The research is devoted to the analysis of the opportunities and prospects for the implementation of artificial intelligence in the legal system. The purpose of the study is to analyze the advantages and disadvantages, opportunities and limits of introducing digital technologies into the legal environment. The study analyzed the points of view about the theme of research among the national and foreign scientists, assessed the influence of the artificial intelligence influence on the legal sphere. We also studied the opportunities for regulation connected with digital technologies in current Russian legislation, the advantages, and disadvantages of new categories in the Civil Code of the Russian Federation. We presented examples of the negative impact of legal vacuum on the law enforcement practice and suggested the ways for its overcoming. The current trends in the incorporation of digital technologies into the legal sphere of the Russian Federation and other countries were also studied.
Expect abuse. (I doubt this is only possible because of AI.)
Amazon, Walmart Tell Consumers to Skip Returns of Unwanted Items
Retailers have a new message for consumers looking to return an item: Keep it.
Amazon.com Inc., Walmart Inc. and other companies are using artificial intelligence to decide whether it makes economic sense to process a return. For inexpensive items or large ones that would incur hefty shipping fees, it is often cheaper to refund the purchase price and let customers keep the products.
The relatively new approach, popularized by Amazon and a few other chains, is being adopted more broadly during the Covid-19 pandemic, as a surge in online shopping forces companies to rethink how they handle returns.
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