Law in the Internet Society

View   r34  >  r33  ...
TWikiGuestFirstEssay 34 - 13 Oct 2023 - Main.EdenEsemuede
Line: 1 to 1
 
META TOPICPARENT name="FirstEssay"
Changed:
<
<
In the dystopian world of the TV show "Black Mirror," the episode "Nosedive" describes a world where social media ratings determine one’s socioeconomic status and access to essential services. Using a mobile application, everyone constantly rates others on a five-point scale. Those with higher scores can access to better services and exclusive clubs, while those with low scores are penalized in many ways. While this may seem like a far-fetched fiction, the reality of today may be not too distant from this portrayal.
>
>
_You did say to make it bad.
 
Deleted:
<
<
The first example that comes to mind is China’s Social Credit System (SCS), developed between 2014 and 2020. The SCS uses artificial intelligence "to develop comprehensive data-driven structures for management around algorithms that can produce real time reward-punishment structures for social-legal-economic and other behaviors" (Larry Cata Backer, Next generation law: data-driven governance and accountability-based regulatory systems in the west, and social credit regimes in China, 2018). The SCS in reality does not actually rely on a universal score but rather on a series of blacklists and redlists managed at different levels (municipal, local, or national). Each authority can manage its own blacklist (e.g., on those who failed to pay fines or child support) and they all converge into the National Credit Information Sharing Platform. As mentioned by Kevin Werbach in his 2022 article “Orwell that ends well? Social credit as regulation for the algorithmic age”, this makes possible that "grade A taxpayers receive customs fee waivers and low-interest loans, in addition to the "home" benefits offered by the tax collection authority". Prof. Werbach however believes that western's depiction of the SCS is is exaggeratedly negative, especially in a world where governments and corporations are extensively tracking our behavior. He sees the Nosedive scenario as more resembling to the ratings system on Uber or eBay, expanded beyond the boundaries of one service.
 
Deleted:
<
<
As noted by Yuval Noah Harari, free-market capitalism and state-controlled communism can be regarded as distinct data processing systems: the former is decentralized and the latter is centralized. It shouldn't come as a surprise then that western's versions of social credit experiments are being made mainly by private corporations, especially in the financial sector. Since the 2008 financial crises, many "fintech" online lenders began experimenting new scoring model for establishing creditworthiness. These model are based on a person's "social footprint" which is revealed by elements such as his/her social circle, or shopping habits: surprisingly, it appears that buying felt pads has a positive influence on how the algorithms forecast your financial behavior.
 
Changed:
<
<
The risk of discrimination highlighted by these researchers became painfully real in the Netherlands. In 2013, the Dutch Tax Authorities employed a self-learning algorithm to detect child care benefits fraud. The risk indicators used by the system included having low income or belonging to ethnic minorities. As a result, thousands of families were wrongly characterized as fraudsters and suffered severe consequences. This led to the Dutch Government’s resignation and a 3.7 million Euros fine on the Tax Administration from the Autoriteit Persoonsgegevens, the Dutch Data Protection Authority, for breaching several GDPR rules. In particular, the Authority found that the Tax Administration had no legal basis for processing the personal data used as risk indicators. Under the GDPR, personal data processing is allowed only if one of the legal bases listed in Article 6 applies.
>
>

Introduction

 
Deleted:
<
<
In the hyper-regulated European Union, the GDPR has attempted to address these issues by introducing Article 22, which allows individuals to opt out of "automated decision making, including profiling, and obtain human intervention whenever their personal information is used to take a decision which produces a legal effect (e.g., entering into a contract with that individual). Additionally, the proposed EU AI Act aims to place serious limitations on "AI systems providing social scoring of natural persons for general purposes by public authorities." These limitations prohibit social scoring systems from leading to detrimental or unfair treatment in unrelated social contexts or based on unjustified or disproportionate criteria.
 \ No newline at end of file
Added:
>
>

"What is a VPN?"

When the average consumer inputs this Google search, the first thing that pops up isn’t the Google dictionary result. In fact, it’s not even an option on the page. What does pop up is a link to an article written by NordVPN? , better known as the sponsor of any YouTube? video with over 10,000 views. In a world where multiple competitors have been offering the same product for years, a relatively unbiased definition should be simple enough to find. The fact that a popular brand’s attempt to sell you a VPN pops up before you even know what it is demonstrates a much larger problem. Rather than empowering people with the tools to fully take control of their own privacy, companies like Nord, Express, and Surfshark jump to charge consumers high prices for much, much less privacy than they could easily get on their own. Over the course of this essay, I will discuss what VPNs can/should do, and then discuss why many paid VPN services fail to offer the promised protections.

Body

First things first. A VPN, also known as a virtual private network, is a tool that creates a secure connection between two networks, or between a computing device and a network. Typical categories of VPNs include Remote access, host-to-network configuration, site-to-site, and extranet-based site-to-site VPNs. Illustrations liken a VPN to a secure underground tunnel between your computer and the websites you want to reach, keeping your information more secret than it would be if it traveled through the open-air, aboveground internet.

The part of the YouTube? video you skip usually describes two main benefits of having or using a VPN. First and foremost, paid VPNs promise their users access to content they couldn’t otherwise receive based on their location. In ads targeted at Americans, plucky YouTubers? usually show skits of themselves watching shows that are unavailable in certain countries. This also makes VPNs a sensible, one-time purchase for people traveling abroad. Students doing a semester in China might purchase a VPN so that they can stay up to date on their favorite TV shows and movies, using the services they also already pay for (Netflix, Hulu, etc). This also implies that a VPN might be a good tool for people who are based in countries that block more content to do the same thing . However, this isn’t the main advertising ‘hook’ VPNs use. Companies like ExpressVPN? and NordVPN? usually make claims about privacy. Typically, this involves a story about a hypothetical person walking into an airport, completing a bank transaction on the free public wifi, and getting their banking information stolen during an ARP spoofing attack. Very Sad and scary, but ExpressVPN? can help. Similarly, companies also claim that a VPN can stop an Internet Service Provider from reading up on all of the sites you visit to sell your data and create targeted advertising. Purchasers, they claim, can rest easy knowing that their anonymous Reddit posts and weird 3 a.m. google searches are safe from any prying eyes that might use them for nefarious or uncomfortable purposes. Sufficiently scared and a little intrigued about what shows are available outside the US, a consumer may fork over $8 per month for security and a little convenience.

The problem with many of these claims is that, while potentially true, none of this stops the VPN company from doing all of the things a consumer is worried some anomalous ‘bad guy’ might do, the personal data isn’t that much more secure than simply staying on ‘padlocked secure’ HTTPS sites, and if someone really wants that cartoon that releases at different times in different countries a couple of months earlier, they can find it more easily, safely and cheaply through torrent than they would using a streamer’s website.

Sure, one could say that they’d rather roll the dice with a paid VPN service that they’ve researched before buying and trust. The problem is that, much like a simple, clear, and useful definition, unbiased research on which VPNs are best is hard to find. Companies buy review websites, and around ten minutes into a YouTube? review search, you’ll start to find channels begging you NOT to buy a VPN. Furthermore, even the largest VPN services, like ExpressVPN? , have been bought by companies with a history of collaboration with ad-injection malware companies. Furthermore, by sending your data to a VPN company, you simply trust an anomalous bag guy with venture capital firm money, along with some of your own.

If this is true, why would so many companies be allowed to make these misleading claims? The law, after all, should stop blatantly false advertisements from reaching mainstream audiences. [FTC’s role in false advertising: We have cases like Federal Trade Commission v. Bunte Bros, Inc.and, more recently, Static Control v. Lexmark that should protect us from puffed upp claims of a product’s worth.]

Conclusion

However, courts can be slow to adapt to the use of new technology, so it’s possible that we won’t see any meaningful legislation on the claims or use of popular VPN services for some time. In summary, while companies claim that VPNs can give you access to better content and protect your data from harmful attacks and prying eyes, they aren’t worthwhile purchases for the safety-conscious consumer. Because the court system likely won’t kick in to stop VPNs that are not useful, and, in some cases, actively harming your computer, consumers should take matters into their own hands.

A few recommendations for better alternatives:

[Rcommendations for secure browsers from Prof Moglen]. [Article on how to torrent].

Sources https://www.youtube.com/watch?v=WVDQEoe6ZWY (IS THIS A GOOD SOURCE?) https://en.wikipedia.org/wiki/Virtual_private_network https://www.nytimes.com/2021/10/06/technology/personaltech/are-vpns-worth-it.html

 \ No newline at end of file

Revision 34r34 - 13 Oct 2023 - 15:59:18 - EdenEsemuede
Revision 33r33 - 13 Oct 2023 - 02:30:33 - LudovicoColetti
This site is powered by the TWiki collaboration platform.
All material on this collaboration platform is the property of the contributing authors.
All material marked as authored by Eben Moglen is available under the license terms CC-BY-SA version 4.
Syndicate this site RSSATOM