The Fifth Annual AI Systems in Government Conference, May 6-11, 1990, Washington, D.C. PDF Download
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Author: Barry G. Silverman
Publisher: IEEE Computer Society
ISBN: 9780818620447
Category : Computers
Languages : en
Pages : 233
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Book Description
The conference was held in Washington, DC, May 1990. The papers address topics in expert system development and management; planning and scheduling; knowledge acquisition and management systems; human computer interaction; expert database systems; expert advisory systems; natural language; knowledge
Author: Barry G. Silverman
Publisher: IEEE Computer Society
ISBN: 9780818620447
Category : Computers
Languages : en
Pages : 233
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Book Description
The conference was held in Washington, DC, May 1990. The papers address topics in expert system development and management; planning and scheduling; knowledge acquisition and management systems; human computer interaction; expert database systems; expert advisory systems; natural language; knowledge
Author: H. James Antonisse
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 348
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 516
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Book Description
Author:
Publisher:
ISBN:
Category : Administrative agencies
Languages : en
Pages : 266
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Book Description
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Thomas Wischmeyer
Publisher: Springer Nature
ISBN: 3030323617
Category : Law
Languages : en
Pages : 391
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 380
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Book Description
Author: James L. Rash
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 382
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Book Description
Author: Alexander Gelbukh
Publisher: Springer Science & Business Media
ISBN: 3642003818
Category : Computers
Languages : en
Pages : 619
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Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, held in Mexico City, Mexico in March 2009. The 44 revised full papers presented together with 4 invited papers were carefully reviewed and selected from numerous submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications.
Author:
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 532
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Book Description
Papers of the meeting held in Herndon, Va. in Nov. 1995 and sponsored jointly with Binghampton University's AAAI Research Lab, the AAAI, and ACM. Most were presented by academics in sessions dealing with AI paradigms, software engineering, intelligent automation, machine learning, applications, and evaluation of systems. No index. Annotation copyright by Book News, Inc., Portland, OR.
