It highlights the ethical challenges faced amid the rapid advancement of AI technology.
AI, with human-like thinking and behavioral abilities, is rapidly spreading across industries, but it also poses various ethical risks, including human rights violations, bias, and unclear accountability.
This book explores ways to harmonize technology and ethics through regulatory trends such as the European Union's AI law and GDPR, as well as ESG-linked strategies.

As various AI technologies penetrate deeply into society, both positive and negative effects are emerging simultaneously.
For example, AI is having a positive impact in the medical field, increasing diagnostic accuracy and in manufacturing, increasing automation and productivity.
On the other hand, there are also concerns about negative impacts such as privacy violations, biased algorithms, rapid changes in employment structure, and job losses.
These issues are becoming increasingly important because AI is becoming increasingly intertwined with people's daily lives. As AI technology advances in various ways, the need for legal and ethical standards to properly regulate and manage it is growing.
In particular, issues such as privacy, fairness, and transparency are emerging as crucial factors in the development and application of AI technology. The operation of AI algorithms is often likened to a "black box," making it difficult to understand how they reach their conclusions. AI ethics guidelines should increase the transparency of these algorithms, enabling users and stakeholders to understand and trust AI decisions.
Additionally, as AI systems become capable of making decisions autonomously, accountability for those decisions may become unclear.
Therefore, AI ethics guidelines should clarify these responsibilities and ensure that both system developers and users share responsibility, thereby ensuring that AI decisions are fair and trustworthy.
--- From "01_AI Ethics Guide"

In the era of the Fourth Industrial Revolution, the digital economy has become a new development paradigm. However, Europe possesses an industrial economic structure that is relatively weak in digital competitiveness compared to the United States. In representative digital economies, the EU is competitively weak against Apple in the mobile market, Google in the search market, and Amazon in the e-commerce market.
Even manufacturing, once a stronghold of Europe, is lagging behind the United States in its digital transformation.
In this context, ethical and transparent AI development can strengthen the competitiveness of EU companies in the global market.
Trustworthy AI can reach more users and businesses.
Rather than stifling innovation, ethical guidelines serve to promote stable and sustainable innovation.
Moreover, because AI technology transcends national borders, the need for international cooperation and regulatory standards is growing. The EU aims to play a leading role in establishing these international regulatory standards. With China and the United States leading the way in AI technology development, the EU aims to secure a differentiated competitive edge through ethical AI. AI ethical guidelines will contribute to Europe's long-term economic growth.
--- From "03_EU's AI Ethics"

Amazon, the world's largest cyber marketplace and leader in e-commerce, has established principles for the ethical use of AI technology and is applying them to all AI projects.
Amazon adheres to core principles of fairness, transparency, accountability, privacy, and safety in the development and use of AI systems.
Through this, we are striving to develop AI technology in a human-centered way.
Amazon establishes AI-related policies and provides recommendations on responsible AI issues through its AI Ethics Committee.
We are also developing and operating tools and systems to ensure fairness, transparency, and safety of AI systems through engineering systems.
Amazon provides a variety of tools and resources to help developers and organizations implement responsible AI.
Our Responsible AI Resource Center provides guides, tools, case studies, and more, and includes features and tools to improve the fairness, interpretability, and transparency of AI models through Amazon Web Services (AWS).
According to the JoongAng Ilbo, in October 2024, Amazon invested an additional $2.75 billion in AI startup Anthropic, demonstrating its continued commitment to advancing AI technology while fulfilling its ethical responsibilities.
In particular, Amazon is focusing on ensuring that AI technologies are used fairly and safely.
--- From "06_AI Ethics of American Companies"

AI inequality and AI ethics (AI Ethics) and Environmental, Social, and Governance (ESG) are emerging as core paradigms for corporate management and social responsibility, as well as sustainable growth. While AI and ESG originate from different fields, they ultimately share the common goal of creating a better society that respects humanity and sustainable growth and development.
Artificial intelligence ethics focuses on ethical considerations such as fairness, transparency, privacy, accountability, safety, and security in the development and use of AI technology.
On the other hand, ESG refers to three main factors for evaluating corporate sustainability: Environment, Social, and Governance.
ESG is being widely utilized as a key indicator for sustainable growth, becoming an important criterion for increasing global sales and attracting investment.

--- From "09_AI and ESG"