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A compendium of the most ridiculous examples of Congress's pork-barrel spending.
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.
States and their local governments have practical tools to help combat urban sprawl, protect farmland, promote affordable housing, and encourage redevelopment. They appear in the American Planning Association's Growing Smart Legislative Guidebook: Model Statutes for Planning and the Management of Change. The Guidebook and its accompanying User Manual are the culmination of APA's seven-year Growing Smart project, an effort to draft the next generation of model planning and zoning legislation for the United States. The Guidebook is also pertinent to those who are affected by planning decisions and who have an interest in how the statutes are revised, including: Local planners Builders Developers Real estate and design professionals Smart growth and affordable housing advocates Environmentalists Highway and transit specialists Citizens.
The Rise of the Entrepreneurial State charts the development of state and local government initiatives to influence the market and strengthen economic development policies. This trend marked a decisive break from governments' traditionally small role in the affairs of private industry that defined the relationship between the public and private sector for the first half of the twentieth century. The turn to state and local government intervention signaled a change in subnational politics that, in many ways, transcended partisan politics, regional distinctions ,and racial alliances. Eisinger's meticulous research uncovers state and local governments' transition from supply-side to demand-side strategies of market creation. He shows that, instead of relying solely on the supply-side strategies of tax breaks and other incentives to encourage business relocation, some governments promoted innovation and the creation of new business approaches.
Evidence indicates that actions within four main themes (early child development fair employment and decent work social protection and the living environment) are likely to have the greatest impact on the social determinants of health and health inequities. A systematic search and analysis of recommendations and policy guidelines from intergovernmental organizations and international bodies identified practical policy options for action on social determinants within these four themes. Policy options focused on early childhood education and care; child poverty; investment strategies for an inclusive economy; active labour market programmes; working conditions; social cash transfers; affordable housing; and planning and regulatory mechanisms to improve air quality and mitigate climate change. Applying combinations of these policy options alongside effective governance for health equity should enable WHO European Region Member States to reduce health inequities and synergize efforts to achieve the United Nations Sustainable Development Goals.