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Major Countries' Responses to Generative AI Development: Japan, Sweden, Italy and China

  • Report

  • 13 Pages
  • October 2023
  • Region: China, Italy, Japan, Sweden
  • Market Intelligence & Consulting Institute (MIC)
  • ID: 5899120
With the advent of ChatGPT developed by OpenAI, a trend for generative AI has swept across the globe. In this wave of technological transformation, generative AI has raised several issues including reshaping of business models, trustworthiness, and data sovereignty. In response to these challenges, several countries have introduced development policies, regulatory measures, and usage guidelines. Overall, the policies of these countries tend to focus on mitigating risks while capitalizing on the momentum of generative AI development. This report provides an insight into the impact of generative AI on the industry and the society, looks into its opportunities and challenges, and examines major countries' countermeasures and regulations towards generative AI, such as Japan, Sweden, Italy, and China.



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Table of Contents

1. The Impact of Generative AI on Industry and Society
1.1 Development and Applications of Generative AI
1.1.1 Evolving from Decision-Based Induction to Generative Creativity
1.1.2 Increased Maturity in Generative AI Applications, Including Text and Video
1.2 Opportunities and Challenges of Generative AI
1.2.1 Enhancing Productivity through Human-Machine Collaboration and Process Automation
1.2.2 Imposing a Huge Impact on the Labor Market while Driving Industrial Transformation
1.2.3 Algorithmic Bias and Information Manipulation as Two Major Concerns for Generative AI

2. Major Countries’ Strategies and Countermeasures towards Generative AI
2.1 Overview of Generative AI Development in Major Countries
2.1.1 Japan: No Plans for Competing Products, Encourages ChatGPT Usage
2.1.2 Sweden: Developing Competing Products, Encourages ChatGPT Usage
2.1.3 Italy: No Plans for Competing Products, Bans ChatGPT Usage
2.1.4 China: Developing Competing Products, Bans ChatGPT Usage
2.2 Regulations Governing Generative AI
2.2.1 The US and UK Emphasize on Technological Innovation and Safe Use
2.2.2 The EU and G7 Concerns about Cross-Border Data Flow and Responsible AI Applications
2.3 Comprehensive Comparative Analysis

3. Analyst's Perspective
• Appendix
• List of Companies
List of Tables
Table 1: Summary of OpenAI's Proposal to Japan
Table 2: Regulatory Guidelines for Generative AI in Major Countries
Table 3: Summary of Generative AI Development Strategies and Measures in Major Countries

List of Figures
Figure 1: Evolution of AI Technology
Figure 2: Major Application Types of Generative AI
Figure 3: Enhancing Productivity with Generative AI
Figure 4: Industries Most Affected by Generative AI
Figure 5: Social Impact of Generative AI
Figure 6: Proportion of GPT-SW3 Corpus

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Advance Publications
  • Harvey AI
  • Nvidia
  • Open AI
  • Research Institutes of Sweden
  • Sequoia Capital
  • Wikimedia

Methodology

Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:

Method

  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases

Methodology

  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis

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