⭐⭐⭐⭐⭐ The Pros And Cons Of Internet Filtering

Wednesday, June 23, 2021 10:50:37 AM

The Pros And Cons Of Internet Filtering

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Internet Censorship (Good Or Bad?)

Large families, for example, will appreciate that Norton Family and Kaspersky Safe Kids work on an unlimited number of devices. Most parental control software operates as a subscription service, so pricing tiers tend to align with device limits, though some offer free versions for basic protection on a limited number of devices. If your kids are strictly smartphone users, take a look at our roundup of mobile parental control apps. If getting parental control coverage installed on each of your family's devices starts to seem too difficult, consider a whole-network solution, such as Circle Home Plus.

These systems perform content filtering at the router level, so your settings affect every device on the network. Naturally, you don't get the same fine level of control and detailed monitoring that you get with a local agent on each device, but this is a much broader solution. Some kids spend more time on gaming consoles than any other device. The parental control services in this roundup don't cover consoles, but we can help you learn how to enable parental controls on gaming consoles. At the very least, a good parental control tool features content filtering—the ability to block access to websites matching categories such as hate, violence, and porn.

This type of filtering only really works if it's browser-independent and works with secure HTTPS sites. With no HTTPS filtering, a smart teen could bypass the system using a secure anonymizing proxy website or even an uncommon web browser in some cases. Using a VPN or the Tor browser often breaks even the strongest protections, too. Most also have the option to permanently enable SafeSearch, though those settings are often limited to Google, Bing, and sometimes YouTube. Your child can thwart most SafeSearch restrictions by using a privacy-focused search engine such as DuckDuckGo. Of course, the most capable solutions also keep a detailed log of your child's web activity. Access scheduling is another very common feature. Some services let parents set a daily or weekly schedule for device usage.

Others specifically restrict the amount of time your kid spends on the internet. Qustodio lets you set time restrictions on individual mobile and desktop apps. This is particularly useful for children who have a habit of playing games or using social media apps when they should be doing homework. The most helpful time-based settings apply to all your kids' devices, so they just can't switch between them to evade limits. Check out our coverage of additional ways to manage your child's screen time on all of their devices, including options already built-in to the respective platforms.

As kids get older, content filtering may start to seem pointless. At some point, you start to worry more about their interaction with the wider world. Sure, if their friends come over in person, you can at least meet them, but what about friends on social media and other contacts your child never mentions? Who are they, really, and what are your kids discussing with them? Although some supervision is acceptable, you still need to respect your child's basic right to privacy and encourage open discussion, rather than using parental control software as spyware. Some services let you monitor contacts and messages and keep an eye out for potentially dangerous or unsanctioned situations. You can even block new contacts or view message content with some parental control software.

Keep in mind that this primarily applies to SMS texts; messaging apps such as WhatsApp, Snapchat, and Signal do not fall under the same scope. Social media tracking can also provide a glimpse into your child's social life, though many services now only monitor Facebook or have given up monitoring social media entirely. You can use parental control software to block access to video streaming apps and sites, as well as limit how much time your child can spend using them. Instead, you need to dive into the settings of each video streaming service.

The parental control capabilities of video streaming services vary widely. Some do not offer any options to restrict content, while others may simply offer a kid-friendly mode that broadly limits the streaming library to content appropriate for young children. The best services allow you to set rating restrictions on individual profiles and prevent your kid from simply switching to an unmonitored profile without a password or PIN. Most kids are on mobile devices at least some of the time, and many are almost exclusively accessing the internet on their phones. Fortunately, many parental control services offer a companion app that lets you view your child's activity, set basic rules, and view notifications as they arrive.

This kind of companion app is particularly useful for responding to access or time-extension requests on the go. Otherwise, you manage everything online or locally on the PC, where you have fine control over activity reports and restrictions. Any changes you make should propagate to your children's devices when they connect to the internet. When your child tries to visit a blocked site, makes a post using iffy language, or otherwise bends the rules, the best parental control services send you a notification to your preferred channel, such as via the app, web, email, text, or some combination of those options.

When you get beyond the basics, parental control systems start to diverge, with many advanced features to help them stand out from the crowd. Among these standout features are YouTube monitoring, geofencing , and remote device locking. You'll also find advanced versions of standard features. For example, the best content filters don't just use a database of categories. They analyze page content, filter profanity, and allow you to add custom keywords and categories you want to block.

We also like those services that support two-factor authentication for account logins. While it does have a handful of shortcomings, it also outperforms a lot of competitors. On top of that, it leverages machine learning to take malware detection to the next level. It has won multiple awards, and for good reason. The version brings with it a number of exciting updates that add layers of protection to your devices. The anti-phishing protection is impressive enough to block almost all threats. People ignore update notifications for all sorts of reasons. This is despite the fact that old versions of applications are a major source of system vulnerabilities. This is the feature that makes many gamers choose BullGuard. It is designed for computers with a minimum of four core processors.

When it detects the user is entering a gaming session, BullGuard moves all other applications to one or two cores, freeing up the remaining cores for the game. BullGuard takes online safety further in keeping you safe in real-time. This is achieved through sophisticated functions and algorithms to detect and identify threats. It comes with everything that you need to browse the internet safely and a little more. For the ultimate online protection, BullGuard comes with its own browser. Like all other features in BullGuard, the browser offers layered protection against some of the most dangerous types of malware in existence.

It keeps your payment data safe when shopping online, it ensures your log-in details are never hijacked, it protects you from downloading malware, safeguards your browsing history from being stolen, and defends you from fake spoofed websites. That frown can now turn into a smile as BullGuard Internet Security now features a powerful firewall that offers end-to-end protection. Many parents care a lot about web filtering and parental controls to keep their children safe online.

This is why BullGuard Internet Security offers parental controls that you can immediately apply on the devices of your kids. My biggest fear is that, unless we tune our algorithms for self-actualization , it will be simply too convenient for people to follow the advice of an algorithm or, too difficult to go beyond such advice , turning these algorithms into self-fulfilling prophecies, and users into zombies who exclusively consume easy-to-consume items.

Every time you design a human system optimized for efficiency or profitability you dehumanize the workforce. That dehumanization has now spread to our health care and social services. When you remove the humanity from a system where people are included, they become victims. Who is collecting what data points? Do the human beings the data points reflect even know or did they just agree to the terms of service because they had no real choice? Who is making money from the data?

There is no transparency, and oversight is a farce. A sampling of excerpts tied to this theme from other respondents for details, read the fuller versions in the full report :. Two strands of thinking tie together here. One is that the algorithm creators code writers , even if they strive for inclusiveness, objectivity and neutrality, build into their creations their own perspectives and values. The other is that the datasets to which algorithms are applied have their own limits and deficiencies. Moreover, the datasets themselves are imperfect because they do not contain inputs from everyone or a representative sample of everyone.

The two themes are advanced in these answers:. Most people in positions of privilege will find these new tools convenient, safe and useful. The harms of new technology will be most experienced by those already disadvantaged in society, where advertising algorithms offer bail bondsman ads that assume readers are criminals, loan applications that penalize people for proxies so correlated with race that they effectively penalize people based on race, and similar issues. Much of it either racial- or class-related, with a fair sprinkling of simply punishing people for not using a standard dialect of English. To paraphrase Immanuel Kant, out of the crooked timber of these datasets no straight thing was ever made.

A sampling of quote excerpts tied to this theme from other respondents for details, read the fuller versions in the full report :. One of the greatest challenges of the next era will be balancing protection of intellectual property in algorithms with protecting the subjects of those algorithms from unfair discrimination and social engineering. First, they predicted that an algorithm-assisted future will widen the gap between the digitally savvy predominantly the most well-off, who are the most desired demographic in the new information ecosystem and those who are not nearly as connected or able to participate.

Second, they said social and political divisions will be abetted by algorithms, as algorithm-driven categorizations and classifications steer people into echo chambers of repeated and reinforced media and political content. Two illustrative answers:. And that divide will be self-perpetuating, where those with fewer capabilities will be more vulnerable in many ways to those with more. Brushing up against contrasting viewpoints challenges us, and if we are able to actively or passively avoid others with different perspectives, it will negatively impact our society. It will be telling to see what features our major social media companies add in coming years, as they will have tremendous power over the structure of information flow.

The overall effect will be positive for some individuals. It will be negative for the poor and the uneducated. As a result, the digital divide and wealth disparity will grow. It will be a net negative for society. The spread of artificial intelligence AI has the potential to create major unemployment and all the fallout from that. What will then be the fate of Man? The respondents to this canvassing offered a variety of ideas about how individuals and the broader culture might respond to the algorithm-ization of life. They argued for public education to instill literacy about how algorithms function in the general public.

They also noted that those who create and evolve algorithms are not held accountable to society and argued there should be some method by which they are. Representative comments:. What is the supply chain for that information? Is there clear stewardship and an audit trail? Were the assumptions based on partial information, flawed sources or irrelevant benchmarks? Did we train our data sufficiently? Were the right stakeholders involved, and did we learn from our mistakes? The upshot of all of this is that our entire way of managing organizations will be upended in the next decade. The power to create and change reality will reside in technology that only a few truly understand. So to ensure that we use algorithms successfully, whether for financial or human benefit or both, we need to have governance and accountability structures in place.

Easier said than done, but if there were ever a time to bring the smartest minds in industry together with the smartest minds in academia to solve this problem, this is the time. That coping strategy has always been co-evolving with humanity, and with the complexity of our social systems and data environments. Becoming explicitly aware of our simplifying assumptions and heuristics is an important site at which our intellects and influence mature. What is different now is the increasing power to program these heuristics explicitly, to perform the simplification outside of the human mind and within the machines and platforms that deliver data to billions of individual lives. It will take us some time to develop the wisdom and the ethics to understand and direct this power.

The first and most important step is to develop better social awareness of who, how, and where it is being applied. We need some kind of rainbow coalition to come up with rules to avoid allowing inbuilt bias and groupthink to effect the outcomes. Finally, this prediction from an anonymous participant who sees the likely endpoint to be one of two extremes:. I suspect utopia given that we have survived at least one existential crisis nuclear in the past and that our track record toward peace, although slow, is solid. Following is a brief collection of comments by several of the many top analysts who participated in this canvassing:.

When they make a change, they make a prediction about its likely outcome on sales, then they use sales data from that prediction to refine the model. Their model also makes predictions about likely outcomes on reoffending , but there is no tracking of whether their model makes good predictions, and no refinement. This frees them to make terrible predictions without consequence. The algorithms are not in control; people create and adjust them.

However, positive effects for one person can be negative for another, and tracing causes and effects can be difficult, so we will have to continually work to understand and adjust the balance. The methods behind the decisions it makes are completely opaque, not only to those whose credit is judged, but to most of the people running the algorithm as well. In some cases there is no way to tell exactly why or how a decision by an algorithm is reached. And even if the responsible parties do know exactly how the algorithm works, they will call it a trade secret and keep it hidden. There is already pushback against the opacity of algorithms, and the sometimes vast systems behind them.

These things have the size, scale, and in some ways the importance of nuclear power plants and oil refineries, yet enjoy almost no regulatory oversight. This will change. At the same time, so will the size of the entities using algorithms. They will get smaller and more numerous, as more responsibility over individual lives moves away from faceless systems more interested in surveillance and advertising than actual service. Machines have literally become black boxes — even the developers and operators do not fully understand how outputs are produced. There is a larger problem with the increase of algorithm-based outcomes beyond the risk of error or discrimination — the increasing opacity of decision-making and the growing lack of human accountability.

We need to confront the reality that power and authority are moving from people to machines. That is why AlgorithmicTransparency is one of the great challenges of our era. I have heard that people who refuse to be used by Facebook are discriminated against in some ways. Perhaps soon they will be denied entry to the U. Even if the U. These outcomes will probably differ in character, and in our ability to understand why they happened, and this reality will make some people fearful. But as we see today, people feel that they must use the internet to be a part of society. Even if they are fearful of the consequences, people will accept that they must live with the outcomes of these algorithms, even though they are fearful of the risks.

If the algorithms are built well and robustly, the opportunity to insert this inefficiency e. Basically, algorithmic insight will start to affect the design of our homes, cities, transportation networks, manufacturing levels, waste management processing, and more. We should become far more energy efficient once we reduce the redundancy of human-drafted processes. None of the efficiency gains brought about by technology has ever lead to more leisure or rest or happiness. We will simply shop more, work more, decide more things because our capacity to do all those will have increased. When you do that, you just encourage more people to drive.

The real trick is to not add more car lanes but build a world in which fewer people need or want to drive. Given that these systems will be designed by demonstrably imperfect and biased human beings, we are likely to create new and far less visible forms of discrimination and oppression. The makers of these algorithms and the collectors of the data used to test and prime them have nowhere near a comprehensive understanding of culture, values, and diversity. They will forget to test their image recognition on dark skin or their medical diagnostic tools on Asian women or their transport models during major sporting events under heavy fog.

The Secondary DNS The Pros And Cons Of Internet Filtering as a backup of sorts which is always a plus. Algorithms are instructions for solving a problem or The Pros And Cons Of Internet Filtering a task. The use of algorithms is spreading as massive amounts of data are being created, captured and analyzed Andromeda Research Paper businesses and governments. Corporations must do more than publish transparency reports about their staff — The Pros And Cons Of Internet Filtering must actively The Pros And Cons Of Internet Filtering in women and people of color, who The Pros And Cons Of Internet Filtering soon Literary Elements In To Kill A Mockingbird the next generation of workers. Locategy's parental control app for Android and iOS The Pros And Cons Of Internet Filtering track of your kid's activities and location, but the apps are missing social media monitoring of any kind and there's no support for Macs or PCs. In those The Pros And Cons Of Internet Filtering cases, Battle Of Hong Kong Essay more control to the user seems highly advisable. Once you enable location on your phone, you can access geofilters The Pros And Cons Of Internet Filtering.

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