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人工知能(AI)が公共安全、セキュリティ、プライバシーに与える影響

Artificial Intelligence Impact on Public Safety, Security and Privacy

 

出版社 出版年月電子版価格 ページ数図表数
Mind Commerce
マインドコマース
2017年2月US$1,995
シングルユーザライセンス
183 50

サマリー

米国調査会社マインドコマース(Mind Commerce)の調査レポート「人工知能(AI)が公共安全、セキュリティ、プライバシーに与える影響」は、人工知能の成長や様々なセクターにわたる用途を査定し、公共安全やセキュリティ、プライバシーに与える影響を調査している。

調査レポートのトピックス

  • AIが公共安全、セキュリティ、プライバシーにどのような影響を与えるかを査定
  • 公共安全とセキュリティに関するいくつかのAIのイニシアチブのケーススタディ
  • AGI人工汎用知能、Artificial General Intelligence)の登場と公共安全、セキュリティ、プライバシーに関連する用途
  • 政府行政、企業、専門職団体、大学のAIイニシアチブの分析
  • 認知体系、コンテンツ解析ソフトウェア、AIソフトウェア・解析、AI公共安全ソフトウェア、詐欺検出用AIソフトウェア、リスク管理、自動計画2017-2022年の予測

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)


目次

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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