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市場調查報告書

人工智能 (AI) 的公共安全、安全、隱私的影響

Artificial Intelligence Impact on Public Safety, Security and Privacy

出版商 Mind Commerce 商品編碼 436073
出版日期 內容資訊 英文 183 Pages
商品交期: 最快1-2個工作天內
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人工智能 (AI) 的公共安全、安全、隱私的影響 Artificial Intelligence Impact on Public Safety, Security and Privacy
出版日期: 2017年02月07日 內容資訊: 英文 183 Pages
簡介

本報告提供人工智能 (AI) 的公共安全、安全、隱私的影響相關驗證之系統性資訊。

第1章 人工智能 (AI)的概要

  • AI的演進
  • AI的技術目標
  • AI的工具
  • AI支援企業應用
  • 智慧型助手、分析的AI
  • 產業的相關課題的AI:安全性,安全,隱私,倫理
  • AI的重要安全和保障的問題點

第2章 AI對公共安全、安全、隱私的影響

  • 消除來自人的決策的不公平判斷
  • 解決智力犯罪
  • 網路安全的提高
  • 預測安全
  • 國境監視
  • 恐怖活動的探測、防止犯罪
  • 家用、服務機器人
  • 機器的自我控制、自我復甦
  • AI和公益
  • 管治和安全性
  • 安全、控制對策
  • 安全工程
  • 自動駕駛車輛、飛機
  • 武器系統
  • 職場的安全
  • 醫療資料的隱私

第3章 AI的公共安全、安全、隱私的配合措施與計劃

  • 美國運輸安全管理局 (TSA) DARMS
  • 紐約市警本部 (NYPD) CompStat
  • EU LawTrain
  • DARPA Education Dominance Program
  • 美國,英國,加拿大,日本,新加坡,韓國政府的積極推動
  • 人工智能 (AI) 聯盟的成立
  • Apple Siri與加入策略
  • Google Inc.
  • IBM Watson
  • Intel Corporation
  • Microsoft Corporation
  • Next IT Corporation
  • Nuance Communications, Inc.
  • Oracle Corporation AI
  • InteliWISE SA eGOV
  • Facebook Inc.
  • Salesforce.com
  • Amazon.com Inc.
  • General Electric (GE) Solution
  • SK Telecom Co, Ltd.
  • motion.ai
  • Buddy

第4章 AI的公共政策和法規

  • 安全和隱私
  • 革新政策
  • 民事責任
  • 刑事責任
  • 機關、認證
  • 勞動、課稅
  • 政策
  • 隱私、倫理

第5章 對未來檢討事項的指南

  • 未來的指南
  • 全球討論事項
  • 倫理的、法律上的討論事項
  • 專門團體所扮演的角色
  • 政府所扮演的角色
  • 6個教育機關所扮演的角色
  • 對企業的建議

附錄

目錄

Overview:

Artificial Intelligence (AI) is undergoing a transformation from silo implementations to a utility function across many industry verticals as a form of Artificial General Intelligence (AGI) capability. This capability is becoming embedded and/or associated with many applications, services, products, and solutions. Mind Commerce sees AI innovation in a variety of areas including personalized AI to both support and protect end-users.

Personal AI will act as a form of AI Mediator, providing a "Watcher" function to mediate other AI programs and AI enabled systems.

This transformation will have a profound effect upon public safety, security, and private for consumers, enterprise, and governments. This research evaluates the growth of AI, its application across diverse sectors, and the associated impact upon Public Safety, Security, and Privacy.

Topics addressed in the report include:

  • Assessment of how AI impacts public safety, security, and privacy
  • Case study analysis of select AI initiatives related to public safety and security
  • Views on the rise of AGI and its application related to public safety, security, and privacy
  • Analysis of AI initiatives in Government, Businesses, Professional Bodies, and Universities
  • Forecasts for Cognitive System and Content Analytics Software, AI Software & Analytics, AI Public Safety Software, and AI Software for Fraud
  • Detection, Risk Management, and Automated Planning 2017 - 2022

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

  • Telecom service providers
  • Public safety organizations
  • Artificial Intelligence companies
  • Big Data and analytics companies
  • Cloud and Internet of Things companies

Organizations in Report:

  • AlchemyAPI
  • Amazon
  • Apple
  • AT&T
  • Buddy
  • DeepMind
  • Electrolux
  • Europay
  • European Union
  • Facebook Inc.
  • Findface
  • General Electric (GE)
  • Google
  • IBM Watson
  • Intel Corporation
  • InteliWISE SA
  • iRobot
  • Johns Hopkins University
  • MasterCard
  • Microsoft
  • motion.ai
  • National Science and Technology Council (NSTC)
  • Netflix
  • New York Police Department (NYPD)
  • Next IT Corporation
  • Nuance Communications, Inc.
  • Oracle Corporation
  • PredictionIO
  • Qualcomm
  • RBS
  • Saleforce.com
  • Samsung
  • SK Telecom Co, Ltd.
  • Softbank Robotics
  • Stanford University
  • Tesla
  • Twitter
  • Uber
  • University of Chicago
  • University of Southern California
  • US Transportation Security Administration (TSA)

Table of Contents

1. Artificial Intelligence (AI) Overview

  • 1.1. Evolution of AI
  • 1.2. Technology Goal of AI
  • 1.3. AI Tools
  • 1.4. AI Enabled Enterprise Applications
  • 1.5. AI in Intelligent Assistants and Analytics
  • 1.6. AI in Industry Challenges: Safety, Security, Privacy, and Ethics
  • 1.7. Important Safety and Security Issues with AI

2. Impact of AI on Public Safety, Security, and Privacy

  • 2.1. Removing Biasness of Human-Decision Making
  • 2.2. Solving White Collar Crime
  • 2.3. Improving Cybersecurity
  • 2.4. Predictive Policing
  • 2.5. Border Surveillance
  • 2.6. Terrorism Detection and Prevention
  • 2.7. Home and Service Robots
  • 2.8. Machine Self-Control and Self-healing
  • 2.9. AI and the Public Good
  • 2.10. Governance and Safety
  • 2.11. Safety and Control Measures
  • 2.12. Safety Engineering
  • 2.13. Autonomous Vehicles and Aircraft
  • 2.14. Weapons Systems
  • 2.15. Workplace Safety
  • 2.16. Healthcare Data Privacy

3. AI Public Safety, Security and Privacy Initiatives and Programs

  • 3.1. US Transportation Security Administration (TSA) DARMS
  • 3.2. New York Police Department (NYPD) CompStat
  • 3.3. European Union LawTrain
  • 3.4. DARPA Education Dominance Program
  • 3.5. Government Initiative in US, UK, Canada, Japan, Singapore, and South Korea
  • 3.6. Formation of Artificial Intelligence (AI) Alliance
    • 3.6.1. Amazon, Facebook, Google, IBM, and Microsoft
    • 3.6.2. Alexa Skill Integration with Macadamian
  • 3.7. Apple Siri and Embedded Strategy
  • 3.8. Google Inc.
    • 3.8.1. Google Assistant and Embedded Strategy
    • 3.8.2. Google Home
    • 3.8.3. DeepMind Acquisition and DeepMind Lab
  • 3.9. IBM Watson
  • 3.10. Intel Corporation
    • 3.10.1. Digital Personal Assistant for the Enterprise
    • 3.10.2. Intel AI Acquisition Strategy
    • 3.10.3. Intel Ginger
    • 3.10.4. Next gen AI Chip Strategy
  • 3.11. Microsoft Corporation
    • 3.11.1. Microsoft Cortana
    • 3.11.2. Genee and Other Acquisition Strategy
    • 3.11.3. Microsoft AI and Research Group
    • 3.11.4. Industry collaboration
  • 3.12. Next IT Corporation
    • 3.12.1. Workforce Support
    • 3.12.2. Next IT Healthcare
  • 3.13. Nuance Communications, Inc.
    • 3.13.1. Virtual Assistant and Speech Recognition
    • 3.13.2. Nuance Healthcare
    • 3.13.3. Nina Intelligent Virtual Assistant
    • 3.13.4. Acquisition Strategy
  • 3.14. Oracle Corporation AI
  • 3.15. InteliWISE SA eGOV
  • 3.16. Facebook Inc.
    • 3.16.1. Facebook M
    • 3.16.2. DeepText: Text Understanding Engine
    • 3.16.3. Third Party Integration
    • 3.16.4. Facebook Jarvis
  • 3.17. Salesforce.com
    • 3.17.1. Einstein
    • 3.17.2. AI Acquisition Strategy
  • 3.18. Amazon.com Inc.
    • 3.18.1. Amazon Alexa Voice
    • 3.18.2. Amazon Echo
  • 3.19. General Electric (GE) Solution
  • 3.20. SK Telecom Co, Ltd.
    • 3.20.1. NUGU
    • 3.20.2. Inclusion of Conexant Systems AI Capabilities
  • 3.21. motion.ai
  • 3.22. Buddy

4. AI Public Policy and Regulations

  • 4.1. Security and Privacy
  • 4.2. Innovation Policy
  • 4.3. Civil Liability
  • 4.4. Criminal Liability
  • 4.5. Agency and Certification
  • 4.6. Labor and Taxation
  • 4.7. Politics
  • 4.8. Privacy and Ethics
  • 5. Guidelines for Future Consideration
  • 5.1. Guidelines for the Future
  • 5.2. Global Considerations
  • 5.3. Ethical and Legal Considerations
  • 5.4. Role of Professional Associations
  • 5.5. Role of Government
  • 5.6. Role of Educational Institutes
  • 5.7. Recommendation for Businesses

Appendix

  • i. AI, Automation, and Economic Impact
  • ii. Cognitive System and Content Analytics Software, Equity Financing, and AI Patent
  • iii. AI Software and Analytics Market 2017-2022
  • iv. AI Public Safety Software Market
  • v. AI Software and Analytics by Core Technology
  • vi. AI Fraud Detection, Risk Management, and Automated Planning
  • vii. Intelligent Virtual Agent/Advisor Application Market

Figures

  • Figure 1: AI Technology Goals and Tools
  • Figure 2: AI Assistant and Smart Advisor Ecosystem
  • Figure 3: Cognitive System and Content Analytics Software Market 2017-2022
  • Figure 4: AI Software and Analytics Market 2017-2022
  • Figure 5: AI Software and Analytics Market in Public Safety Applications 2017-2022
  • Figure 6: Intelligent Virtual Agent and Smart Advisor Market

Tables

  • Table 1: Global Economic Transactions by AI Agents 2018-2021
  • Table 2: AI Software and Analytics by Core Technology 2017-2022
  • Table 3: AI Software & Analytics by Fraud Detection, Risk Management, and Automated Planning 2017-2022

Artificial Intelligence, Machine Learning, and Cognitive Computing: Market and Outlook for Communications, Applications, Content and Commerce

1. Introduction

  • 1.1. Research Background
  • 1.2. Scope of the Research
  • 1.3. Organizations in Report

2. Executive Summary

3. Overview

  • 3.1. Introduction to Artificial Intelligence
  • 3.2. Market Definitions
    • 3.2.1. Client
    • 3.2.2. Intelligent Software Agent
    • 3.2.3. Problem Solving
    • 3.2.4. Algorithms
  • 3.3. History of Artificial Intelligence
  • 3.4. Key Characteristics of Artificial Intelligence
    • 3.4.1. Reasoning and Problem Solving
    • 3.4.2. Knowledge Representation and Knowledge Engineering
    • 3.4.3. Planning
    • 3.4.4. Natural Language Processing
    • 3.4.5. Machine Perception
    • 3.4.6. Motion and Manipulation
    • 3.4.7. Data Mining
  • 3.5. Machine Learning
    • 3.5.1. Deep Learning
  • 3.6. Cognitive Computing

4. The Global Artificial Intelligence Marketplace

  • 4.1. Global Markets for Artificial Intelligence 2016-2021
  • 4.2. Artificial Intelligence Markets by Technologies 2016-2021
    • 4.2.1. Markets for Data Mining Technology in Artificial Intelligence 2016-2021
    • 4.2.2. Markets for Machine Perception Technology in Artificial Intelligence 2016-2021
    • 4.2.3. Markets for Pattern Recognition Technology in Artificial Intelligence 2016-2021
    • 4.2.4. Markets for Intelligent Decision Support Systems Technology in AI 2016-2021
    • 4.2.5. Markets for Natural Language Processing Technology in AI 2016-2021
  • 4.3. Markets for AI by Key Application Areas 2016-2021
    • 4.3.1. AI Markets for Marketing and Business Decision Making 2016-2021
    • 4.3.2. AI Markets for Workplace Automation 2016-2021
    • 4.3.3. AI Markets for Predictive Analysis and Forecast 2016-2021
    • 4.3.4. AI Markets for Fraud Detection and Classification 2016-2021
  • 4.4. Market for AI by Key Industry Verticals 2016-2021
    • 4.4.1. AI Market for Internet related Services and Products 2016-2021
    • 4.4.2. AI Markets for Financial Services 2016-2021
    • 4.4.3. AI Market for Medical and Bio-Informatics 2016-2021
    • 4.4.4. AI Market for Manufacturing and Heavy Industry 2016-2021
    • 4.4.5. AI Market for Telecommunications 2016-2021
  • 4.5. Regional Markets for AI 2016-2021

5. AI Industry Analysis

  • 5.1. Vendor Ecosystem in AI
  • 5.2. Key Mergers and Acquisitions in AI
    • 5.2.1. Google acquires various Companies in AI
    • 5.2.2. IBM Acquisition of Companies Working in AI
    • 5.2.3. Facebook Acquisition of Companies working in AI
    • 5.2.4. Microsoft Acquisition of Companies Working in AI
    • 5.2.5. Apple Acquisition of Companies Working in AI
  • 5.3. Limitations and Challenges for Expansion of Artificial Intelligence
  • 5.4. Artificial Intelligence Opportunities and Drivers
  • 5.5. An Emerging Area: Artificial Intelligence and Digital Security

Figures

  • Figure 1: Global AI Market Value 2016-2021
  • Figure 2: Overall Artificial Intelligence Functionality
  • Figure 3: Artificial Intelligence Market 2016-2021
  • Figure 4: Artificial Intelligence Market by End user Segment 2016-2021
  • Figure 5: Artificial Intelligence by Sub-category 2016-2021
  • Figure 6: Artificial Intelligence Market by Technologies 2016-2021
  • Figure 7: Market for Data Mining Technology in Artificial Intelligence 2016-2021
  • Figure 8: Market for Machine Perception Technology in Artificial Intelligence 2016-2021
  • Figure 9: Market for Pattern Recognition Technology in Artificial Intelligence 2016-2021
  • Figure 10: Market for Intelligent Decision Support Systems Technology in AI 2016-2021
  • Figure 11: Market for Natural Language Processing Technology in AI 2016-2021
  • Figure 12: Artificial Intelligence Market by Applications 2016-2021
  • Figure 13: AI Market for Marketing and Business Decision Making 2016-2021
  • Figure 14: Artificial Intelligence Market for Workplace Automation 2016-2021
  • Figure 15: Artificial Intelligence Market for Predictive Analysis and Forecast 2016-2021
  • Figure 16: AI Market for Fraud Detection and Classification 2016-2021
  • Figure 17: Artificial Intelligence Markets by Industry: 2016-2021
  • Figure 18: AI Market for Internet Services and Products 2016-2021
  • Figure 19: Artificial Intelligence Market for Financial Services 2016-2021
  • Figure 20: Artificial Intelligence Market for Medical and Bio-informatics 2016-2021
  • Figure 21: AI Market for Manufacturing and Heavy Industry 2016-2021
  • Figure 22: Artificial Intelligence Market for Telecommunications 2016-2021
  • Figure 23: Regional Markets for Artificial Intelligence 2016-2021
  • Figure 24: Artificial Intelligence support of Security in the Internet of Things (IoT)

Tables

  • Table 1: Artificial Intelligence Market 2016-2021
  • Table 2: Artificial Intelligence Market by End user segment 2016-2021
  • Table 3: Artificial Intelligence by Sub-category 2016-2021
  • Table 4: Artificial Intelligence Market by Technologies 2016-2021
  • Table 5: Market for Data Mining Technology in Artificial Intelligence 2016-2021
  • Table 6: Market for Machine Perception Technology in Artificial Intelligence 2016-2021
  • Table 7: Market for Pattern Recognition Technology in Artificial Intelligence 2016-2021
  • Table 8: Market for Intelligent Decision Support Systems Technology in AI 2016-2021
  • Table 9: Market for Natural Language Processing Technology in AI: 2016-2021
  • Table 10: Artificial Intelligence Market by Applications 2016-2021
  • Table 11: AI Market for Marketing and Business Decision Making 2016-2021
  • Table 12: Artificial Intelligence Market for Workplace Automation2016-2021
  • Table 13: Artificial Intelligence Market for Predictive Analysis and Forecast 2016-2021
  • Table 14: Artificial Intelligence Market for Fraud Detection and Classification 2016-2021
  • Table 15: Artificial Intelligence Markets by Industry 2016-2021
  • Table 16: Artificial Intelligence Market for Internet Services and Products: 2016-2021
  • Table 17: Artificial Intelligence Market for Financial Services 2016-2021
  • Table 18: Artificial Intelligence Market for Medical and Bio-informatics 2016-2021
  • Table 19: Artificial Intelligence Market for Manufacturing and Heavy Industry 2016-2021
  • Table 20: Artificial Intelligence Market for Telecommunications 2016-2021
  • Table 21: Regional Markets for Artificial Intelligence 2016-2021
  • Table 22: Google Artificial Intelligence Acquisitions
  • Table 23: IBM Artificial Intelligence Acquisitions
  • Table 24: Facebook Artificial Intelligence Acquisitions
  • Table 25: Microsoft in Artificial Intelligence Acquisitions
  • Table 26: Apple Artificial Intelligence Acquisitions
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