The Right to Privacy

The Right to Privacy
Author: Samuel D. Brandeis, Louis D. Warren
Publisher: BoD – Books on Demand
Total Pages: 42
Release: 2018-04-05
Genre: Fiction
ISBN: 3732645487

Reproduction of the original: The Right to Privacy by Samuel D. Warren, Louis D. Brandeis

Guide to Protecting the Confidentiality of Personally Identifiable Information

Guide to Protecting the Confidentiality of Personally Identifiable Information
Author: Erika McCallister
Publisher: DIANE Publishing
Total Pages: 59
Release: 2010-09
Genre: Computers
ISBN: 1437934889

The escalation of security breaches involving personally identifiable information (PII) has contributed to the loss of millions of records over the past few years. Breaches involving PII are hazardous to both individuals and org. Individual harms may include identity theft, embarrassment, or blackmail. Organ. harms may include a loss of public trust, legal liability, or remediation costs. To protect the confidentiality of PII, org. should use a risk-based approach. This report provides guidelines for a risk-based approach to protecting the confidentiality of PII. The recommend. here are intended primarily for U.S. Fed. gov¿t. agencies and those who conduct business on behalf of the agencies, but other org. may find portions of the publication useful.

Intelligence Identities Protection Act

Intelligence Identities Protection Act
Author: United States. Congress. House. Committee on the Judiciary. Subcommittee on Civil and Constitutional Rights
Publisher:
Total Pages: 134
Release: 1981
Genre: Intelligence officers
ISBN:

Overview of the Privacy Act of 1974

Overview of the Privacy Act of 1974
Author: United States. Department of Justice. Privacy and Civil Liberties Office
Publisher:
Total Pages: 276
Release: 2010
Genre: Government publications
ISBN:

The "Overview of the Privacy Act of 1974," prepared by the Department of Justice's Office of Privacy and Civil Liberties (OPCL), is a discussion of the Privacy Act's disclosure prohibition, its access and amendment provisions, and its agency recordkeeping requirements. Tracking the provisions of the Act itself, the Overview provides reference to, and legal analysis of, court decisions interpreting the Act's provisions.

Regulating Artificial Intelligence

Regulating Artificial Intelligence
Author: Thomas Wischmeyer
Publisher: Springer Nature
Total Pages: 391
Release: 2019-11-29
Genre: Law
ISBN: 3030323617

This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.