Data & Use in the World of COVID CERTIFICATES

Demonstrations in Switzerland

What is the cause of people being so concerned about the COVID-19 app?

The media is pushing the topic as Vaccinated against the unvaccinated. But what people are not paying attention to is the use of health information, which is technically considered private information, to discriminate against a particular group of people known as the minority in society. Allowing your health information to be accessible for public view could cost you opportunities and impact your ability to live your life as a human with certain rights the Government is to uphold. According to the initiative in Switzerland to allow the Vaccine Certificate Passport to pass ultimately you would be giving away specific freedoms you inherently have in Switzerland based on data sets that so far have not been accurate which have already impacted Human rights. The larger question should be by passing this app how does it reduce the risk of getting sick or will it ultimately be used to violate your civil rights.?

No jab, no job

Europe’s workers face tough measures as politicians lay down the law

Beginning October 15, 2021, any worker in Italy (in either the public or private sector) who shows up to their workplace without a valid Green Pass will be sent home without pay. Fines of up to €1,500, or $1,740, kick in for those who try to flout the law. It is among the toughest workplace measures anywhere in the world, and it is being cast as a way to protect workers in Italy, a country where labor rights are a central plank to politics.

Discrimination based on Data that is flawed, is this how the Governments are managing Risk. The vaccine is available and you are free to get it if you feel at risk. The mandates have real consequences. In the past you have the right to take a vaccine or not. why is it different today. The group at the most risk of COVID had the highest rates of vaccines given.

Data Driven Analytics for Pandemic

Applications and challenges of AI-based algorithms in the COVID-19 pandemic

The COVID-19 pandemic is shifting the digital transformation era into high gear. Artificial intelligence (AI) and, in particular, machine learning (ML) and deep learning (DL) are being applied on multiple fronts to overcome the pandemic. However, many obstacles prevent greater implementation of these innovative technologies in the clinical arena. The goal of this narrative review is to provide clinicians and other readers with an introduction to some of the concepts of AI and to describe how ML and DL algorithms are being used to respond to the COVID-19 pandemic.

Without real scrutiny on data should the government make policies impacting human lives. The Reality is artificial intelligence (AI) does not and cannot exist in the way people or doctors imagine thus the data may be flawed. To have a better understanding, the data can only be manipulated and presented. There is no AI in the equation. If 1000 people enter the wrong data the computation can only displayed what they entered, but who is going to the source to ensure the data is correct. At this point they are only reading that data and trying to calculate based on that. There is a problem in this logic and hence why the public officials have gotten this pandemic so wrong to begin with.

IBM’s Watson supercomputer gave unsafe recommendations for treating cancer patients


COVID cert infringes on Civil Rights by authorizing discrimination actions

Swiss data protection law is rooted in the civil law protection of personality rights. The Federal Constitution of the Swiss Confederation ('the Constitution') provides a constitutional right to privacy. Article 13 SFC protects the right to privacy in personal or family life and in a person's home. Article 28 of the Swiss Civil Code ('the Civil Code') and the Federal Act on Data Protection 1992 ('FADP') put this fundamental right to privacy into concrete terms at a statutory level.

In essence, the data processing principles set out in the FADP provide for protection against infringements of personality rights (data privacy) through excessive use of personal data. Article 28 of the Civil Code remains relevant, from a privacy law perspective, where libel, slander, or defamation is the concern. Furthermore, Article 28 of the Civil Code is relevant for the protection of personality rights of legal entities.

Sector-specific data protection and security requirements set out in laws regulating businesses and organizations in certain sectors (including the healthcare, pharmaceutical, energy, telecommunications, and finance), provide more specific requirements applying to the processing of e.g. patient personal data, bank customer data, or smart metre data. Sector-specific provisions typically supersede the provisions of the FADP.


The Overton Window

Ever wonder how politicians choose which policies they’ll support? Or have you ever noticed that a politician championing one policy idea can win an election in one country, but at the same time no politician in your country will support that same policy? The Overton Window of Political Possibility can help explain these phenomena.

The Overton Window is a model for understanding how ideas in society change over time and influence politics. The core concept is that politicians are limited in what policy ideas they can support — they generally only pursue policies that are widely accepted throughout society as legitimate policy options. These policies lie inside the Overton Window. Other policy ideas exist, but politicians risk losing popular support if they champion these ideas. These policies lie outside the Overton Window.

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