Intelligence Authorization Legislation

Intelligence Authorization Legislation
Author: Richard A. Best
Publisher: DIANE Publishing
Total Pages: 16
Release: 2010
Genre: Political Science
ISBN: 1437923216

Contents: (1) Introduction; (2) Background: Funding for a Changed Intelligence Environment; A Brief Case Study: The Challenge of Satellites and Other Overhead Surveillance Programs; Related Concerns about Intelligence Oversight; (3) Conclusion.

Congressional Oversight of Intelligence

Congressional Oversight of Intelligence
Author: Frederick M. Kaiser
Publisher: DIANE Publishing
Total Pages: 30
Release: 2011-05
Genre:
ISBN: 143793286X

Contents: (1) Intro.; (2) House and Senate Select Committees on Intelligence; (3) Joint Committee on Atomic Energy as a Model; (4) Proposed Joint Committee on Intelligence Characteristics: Methods of Establishment; Jurisdiction and Authority; Membership; Terms and Rotation; Leadership; Secrecy Controls; Pros and Cons; (5) Alternatives to a Joint Committee: Changing the Select Committees¿ Structure and Powers; Concerns about Restructuring the Intelligence Committees; Constraints on Coordination; Increasing the Use of Congressional Support Agencies; (6) Observations on Oversight of Intelligence: Obstacles to Oversight: Secrecy Constraints. This is a print on demand edition of an important, hard-to-find publication.

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.