This paper deals with the implementation of artificial intelligence from an economic perspective and considers its social-ethic challenges.
Can machines think? With these pioneering words, and the questioning in the so-called imitation game whether it enables machines to think autonomously, Alan M. Turing developed one of the first fundamental ideas of machine learning and its significance for the future as early as the 20th century.
Machine learning (ML) or also known as Artificial Intelligence (AI) is now no longer a dystopia that was only initially considered, it has evolved and is a tangible reality and immeasurable in all aspects of life. Due to the fundamental paradigm shift, massively marked by the emergence of digitalization and Industry 4.0, artificial intelligence, which is being used almost across the board, will play a key role in the coming decades.
The applicability of artificial intelligence and increasingly complex algorithms continues to shape our everyday lives, from smartphones and search engines to the financial and healthcare sectors. Beyond this, the use of machine learning has a major impact on the economy and its future, significant societal implications. AI is a highly topical issue because, despite promising technological progress, the use of AI is often controversial, especially with regard to whether the implementation of such technology is morally and ethnically acceptable and whether certain legal and normative boundaries are crossed.
Therefore, the aim of this research paper is to analyze how far the implementation of artificial intelligence will continue to have a decisive impact on economic events and cause change. Irrespective of this, it is also important to analyze the social-ethnic effects of the use of AI.
Table of Contents
1. Introduction
2. Defining AI
3. Applications of AI
4. Effect of AI on the Economy
5. Social Challenges of AI
6. Ethic and Law Issues
7. Conclusion
8. References
Objectives and Topics
This research paper examines the economic implications and social-ethical challenges associated with the rapid implementation and advancement of artificial intelligence (AI) in modern society. It aims to analyze whether the integration of AI signifies a revolution of the current economic order and under what conditions such technological progress remains ethically and legally justifiable.
- The economic impact of AI on productivity and labor markets
- Social consequences including wealth inequality and algorithmic bias
- Challenges regarding privacy, data protection, and the "black box" phenomenon
- Ethical dilemmas in autonomous systems and AI-based weaponry
- The necessity for regulatory frameworks to uphold human rights
Excerpt from the Book
Effect of AI on the Economy
The advancement of AI-based technologies is not diminishing, but accelerating, if not exponentially. In economic terms, AI is associated with the term general purpose technology, which can be understood as "there are a handful of "generic", or "general purpose" technologies (GPT' s) characterized by their pervasiveness (i.e., they can be used as inputs in a wide range of downstream sectors), and by their technological dynamism." (Bresnahan & Trajtenberg, 1992) As a result of the dramatic acceleration of AI, the implementation is also reflected in particular in the increase in financial resources. As a result of the dramatic acceleration of AI, the implementation is also reflected in particular in the increase in financial resources. Thus, the global venture capital of AI start-ups rose from 3 billion US dollars in 2012 to 75 billion US dollars in 2020. About 80% of these investments in 2020 are from China and the US, compared to only 4% from the EU. The majority of investments were made in the automotive and transportation sectors, with China and the United States accounting for almost 98%.(OCED, 2021) According to one estimate, the implementation of AI could increase the value of global GDP to $15.7 trillion by 2030.
Summary of Chapters
1. Introduction: Presents the history of machine thinking and identifies the research gap regarding the economic and ethical implementation of AI technologies.
2. Defining AI: Explores the scientific classification of artificial intelligence, differentiating between symbolic AI, machine learning, and the conceptual gap between weak and strong AI.
3. Applications of AI: Provides an overview of how AI is integrated into various sectors such as healthcare, agriculture, and internal administration to optimize processes.
4. Effect of AI on the Economy: Analyzes AI as a "general purpose technology" and investigates its role in productivity growth, labor market shifts, and capital investment.
5. Social Challenges of AI: Discusses the risks of AI, specifically focusing on social inequality, algorithmic bias, data privacy, and the danger of disinformation through deep fakes.
6. Ethic and Law Issues: Examines the moral implications of autonomous decision-making in vehicles and weaponry, while questioning whether AI should be treated as a legal person.
7. Conclusion: Summarizes that while AI drives economic growth, it necessitates robust legal frameworks to prioritize human dignity and prevent social fragmentation.
8. References: Lists all cited literature and sources underpinning the economic and ethical arguments presented in the paper.
Keywords
Artificial Intelligence, Machine Learning, Economics, Productivity, Social Inequality, Algorithmic Bias, Deep Fakes, Ethics, Automation, Labor Market, Data Privacy, Autonomous Systems, Technology, Human Rights, Regulation.
Frequently Asked Questions
What is the core focus of this research paper?
The paper focuses on the dual impact of artificial intelligence: its role as an economic driver for growth and the simultaneous social-ethical challenges its implementation presents.
What are the primary thematic areas covered?
Key areas include economic shifts, labor market automation, potential social inequalities, ethical considerations of autonomous systems, and the legal challenges surrounding human rights.
What is the central research question?
The work aims to analyze the extent to which AI implementation transforms economic events and how to address the resulting social-ethical hazards.
Which scientific methodology is applied?
The research is based on a comprehensive literature review and qualitative analysis of current economic trends, empirical OECD data, and prevailing ethical discourses in philosophy and law.
What topics are discussed specifically in the main body?
The body covers definitions of AI types, sectoral applications, the connection between AI and global GDP growth, negative social consequences like "black box" risks, and the ethics of autonomous weapons.
How would you summarize the work in a few keywords?
The most characterizing terms are Artificial Intelligence, Economics, Social Challenges, Algorithmic Bias, Autonomous Systems, and Human Rights.
How does the author view the "Black Box" paradox in AI development?
The author views the "Black Box" of AI as a major threat to transparency and trust, arguing that the lack of visibility into input and execution processes fuels social mistrust and potential discrimination.
Is the conclusion optimistic or pessimistic regarding AI?
The conclusion is cautiously balanced: it recognizes AI as a tool that can transform society positively, but insists that human control and strict legislation must prevail over technological advancement.
- Quote paper
- Marina Laukes (Author), 2022, The implementation of artificial intelligence from an economic perspective and its social-ethic challenges, Munich, GRIN Verlag, https://www.grin.com/document/1265334
