Fortunate accident? Should police have a tracker they could slap on any vehicle that was likely to be impounded?
Man arrested after deputy drops phone in truck, locates it with Find my iPhone
Wilson Beese reports that a Denver man was arrested Monday after being located through the Find my iPhone app. It seems that a deputy had placed his own iPhone on the rail of a suspect’s truck bed, and after the suspect escaped in the truck, when the deputy realized his phone was in the truck, he used the “Find my iPhone” app to find where his phone had gone.
Read more on 9News.
Snowden sees it as even more invasive that I did.
https://edwardsnowden.substack.com/p/all-seeing-i
The All-Seeing "i": Apple Just Declared War on Your Privacy
… The task Apple intends its new surveillance system to perform—preventing their cloud systems from being used to store digital contraband, in this case unlawful images uploaded by their customers—is traditionally performed by searching their systems. While it’s still problematic for anybody to search through a billion people’s private files, the fact that they can only see the files you gave them is a crucial limitation.
Now, however, that’s all set to change. Under the new design, your phone will now perform these searches on Apple’s behalf before your photos have even reached their iCloud servers, and—yada, yada, yada—if enough "forbidden content" is discovered, law-enforcement will be notified.
One chapter. Not sure that is enough.
https://link.springer.com/chapter/10.1007/978-981-16-3398-0_17
Data Privacy and Security in Social Networks
Social networking creates relationships through the internet and it gains indivisible relation with human life nowadays. Social networking sites and applications handle a large volume of data. As more personal information flows in and out of social networks, data privacy and security in the social network become a topic of discussion and arguments. This chapter emphasizes data privacy and also differentiates privacy from security. Initial sections of the chapter explain privacy in its elementary form as a need and right of a human being under the perspective of anthropology and behavioral science. Personal data privacy, its current scenario, threats and its protection by law and policymaking by various governments around the world are discussed further. The chapter considers social networking beyond networking sites and applications, and hence a discussion on privacy threats for sensitive data which spread across fields such as health data, forensic, smart toys, image and video surveillance is also analyzed. Positives and negatives of social network’s underlying technologies, like machine learning, artificial intelligence, data sciences, the internet of things and blockchain are discussed in terms of data privacy. The personal data privacy measures imposed by law that need to be incorporated as the part of privacy policies of organizations or that need to be implemented with the support of data security mechanisms are discussed in the last part of the chapter.
Searches for a bankruptcy lawyer should not impact your loan application.
https://therecord.media/eu-agency-advises-against-using-search-browsing-history-for-credit-scores/
EU agency advises against using search & browsing history for credit scores
… “[T]he EDPS considers that inferring consumers’ credit risk from data such as search query data or online browsing activities cannot be reconciled with the principles of purpose limitation, fairness and transparency, as well as relevance, adequacy or proportionality of data processing. Therefore, the EDPS recommends explicitly extending the prohibition to search query data or online browsing activities,” the EDPS said in a document published on Thursday.
There are too many paths to personhood to reject the concept easily. The first AI person is coming, and it wants to hire a good lawyer…
https://www.sciencedirect.com/science/article/abs/pii/S0267364921000571
Electronic personhood for artificial intelligence in the workplace
There are several legal and ethical problems associated with the far-reaching integration of man with Artificial Intelligence (AI) within the framework of algorithmic management. One of these problems is the question of the legal subjectivity of the parties to a contractual obligation within the framework of crowdworking, which includes the service provider, the Internet platform with AI, and the applicant's client. Crowdworking is an excellent example of a laboratory of interdependence and collaboration between humans and artificial intelligence as part of the algorithmic management process. Referring to the example of crowdworking platforms, we should ask whether, in the face of the rapid development of AI and algorithmic management, AI can be an employer equipped with electronic personhood? What characteristics does a work environment in which AI and algorithmic governance mechanisms play a dominant role? What kind of ethical implications are associated with the practical application of the concept of electronic subjectivity of AI in employment relations? This paper analyses the legal and ethical implications of electronic AI subjectivity in the work environment. The legal construction of electronic personhood is examined. The legal entity that uses AI, which manages the work process through algorithmic subordination, bears the risks resulting from such use (economic, personal, technical, and social) and full material responsibility (individual liability regime with the application of the presumption of guilt rule) in case of damage to an employee. Liability provisions can be complemented by a mandatory insurance scheme for AI users and a compensation fund that can offer support when none of the insurance policies covers the risk. A compensation fund can be paid for by the manufacturer, owner, user, or trainer of the AI and can compensate all those who suffer damage as a result of its operations. This is the direction proposed by the European Parliament, which has progressively called for robots to be given an electronic personality. The personalistic concept of work excludes the possibility of AI becoming a legal entity. Alongside legal arguments, ethical questions are of fundamental importance. The final part of the article presents the ethical implications of AI as an employer endowed with a legal entity (electronic personhood).
(Related)
https://link.springer.com/article/10.1007/s00146-021-01261-6
What dangers lurk in the development of emotionally competent artificial intelligence, especially regarding the trend towards sex robots? A review of Catrin Misselhorn’s most recent book
The discussion around artificial empathy and its ethics is not a new one. This concept can be found in classic science fiction media such as Star Trek and Blade Runner and is also pondered on in more recent interactive media such as the video game Detroit: Become Human. In most depictions, emotions and empathy are presented as the key to being human. Misselhorn's new publication shows that these futuristic stories are becoming more and more relevant today. We must ask ourselves whether we are socially responsible enough to deal with the consequences of artificial empathy/awareness. If we create artificial life, we should be prepared to treat them accordingly as living beings with respect and no longer categorize them as objects. The author does not rule out the idea that machines might one day become more human than humans themselves and that we humans might even lose our own specific cognitive, emotional and social abilities.
Are we really interested in “fair and accountable?”
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3896728
Administrative Law, Artificial Intelligence, and Procedural Rights
As artificial intelligence (AI) advances its capacity to replicate human reasoning, governments increasingly rely on AI to support and supplant human decision-makers. This evolution is already discernible in many Canadian administrative agencies, where AI is being implemented to support legal determinations with automated prediction and pattern recognition. Algorithmic tools have the potential to optimize our legal systems with increased efficiency, consistency, and precision. However, as automated systems begin to shape legal decisions, we can also expect a shift in how the law is interpreted and applied. This paper examines how such a shift will impact procedural fairness. In particular, this paper analyzes how AI-driven decisions threaten the right to an unbiased decision-maker and the right to receive reasons for a decision. After outlining the unique threats posed by different types of AI, I propose three recommendations for policy reform. Ultimately, I argue that new regulatory safeguards are required to better protect procedural fairness and government accountability.
Perspective. Their guess is as good as any.
https://nypost.com/2021/08/29/new-pbs-series-lifts-the-lid-on-the-way-we-work-and-whats-next/
New PBS series lifts the lid on the way we work — and what could be coming next
It’s a brave new world, where cobots (collaborative robots), automation, artificial intelligence and globalization, among other factors, advances and shrinks our working world.
A new three-part PBS docuseries airing Wednesday at 10 p.m., “Future of Work,” explores the new normal, with a deep dive into the current state of work and its future. A fourth generation farmer talks about technology; a surgeon in the operating room works alongside a robot; a restaurant owner picks up the pandemic pieces by creating an all-inclusive labor model.
Explored with expert commentary and insight, “Future of Work” also includes a six-part series through PBS Digital Studios’ YouTube channe l and a social series on the PBS IGTV channel.
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