The right to be forgotten (RTBF) is the right to have private information about a person be removed from Internet searches and other directories under some circumstances. The concept has been discussed and put into practice in several jurisdictions, including Argentina, the European Union (EU), and the Philippines. The issue has arisen from desires of individuals to "determine the development of their life in an autonomous way, without being perpetually or periodically stigmatized as a consequence of a specific action performed in the past".
The right to be forgotten "reflects the claim of an individual to have certain data deleted so that third persons can no longer trace them". It has been defined as "the right to silence on past events in life that are no longer occurring". The right to be forgotten leads to allowing individuals to have information, videos, or photographs about themselves deleted from certain Internet records so that they cannot be found by search engines. , there were few protections against the harm caused by incidents such as revenge porn sharing, or by pictures uploaded due to poor judgment.
The right to be forgotten is distinct from the right to privacy. The right to privacy constitutes information that is not publicly known, whereas the right to be forgotten involves removing information that was publicly known at a certain time and not allowing third parties to access the information.
There has been controversy about the practicality of establishing a right to be forgotten (in respect to access of information) as an international human right. This is partly due to the vagueness of current rulings attempting to implement such a right. Furthermore, there are concerns about its impact on the right to freedom of expression, its interaction with the right to privacy, and whether creating a right to be forgotten would decrease the quality of the Internet through censorship and the rewriting of history.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
The right to privacy is an element of various legal traditions that intends to restrain governmental and private actions that threaten the privacy of individuals. Over 150 national constitutions mention the right to privacy. On 10 December 1948, the United Nations General Assembly adopted the Universal Declaration of Human Rights (UDHR), originally written to guarantee individual rights of everyone everywhere; while right to privacy does not appear in the document, many interpret this through Article 12, which states: "No one shall be subjected to arbitrary interference with his privacy, family, home or correspondence, nor to attacks upon his honour and reputation.
Privacy law is the body of law that deals with the regulating, storing, and using of personally identifiable information, personal healthcare information, and financial information of individuals, which can be collected by governments, public or private organisations, or other individuals. It also applies in the commercial sector to things like trade secrets and the liability that directors, officers, and employees have when handing sensitive information.
Privacy (UK, US) is the ability of an individual or group to seclude themselves or information about themselves, and thereby express themselves selectively. The domain of privacy partially overlaps with security, which can include the concepts of appropriate use and protection of information. Privacy may also take the form of bodily integrity. There have been many different conceptions of privacy throughout history. Most cultures recognize the right of an individual to withhold aspects of their personal lives from public record.
This advanced course will provide students with the knowledge to tackle the design of privacy-preserving ICT systems. Students will learn about existing technologies to prect privacy, and how to evalu
Sharing data across multiple institutions for genome-wide association studies (GWAS) would enable discovery of novel genetic variants linked to health and disease. However, existing regulations on genomic data sharing and the sheer size of the data limit t ...
%0 Conference Paper %T Bayesian Differential Privacy for Machine Learning %A Aleksei Triastcyn %A Boi Faltings %B Proceedings of the 37th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2020 %E Hal Daumé III %E A ...
Homomorphic encryption and secure multi-party computation enable computations on encrypted data. However, both techniques suffer from a large performance overhead. While advances in algorithms might reduce the overhead, we show that achieving perfect (or e ...