The rapid development of artificial intelligence (AI) technologies deeply affects not only industrial production but also academic research and social structures. While AI’s capacity to conduct doctoral research threatens many professions, it also questions the future of academic careers.
The ability of AI systems to solve complex scientific problems and develop new hypotheses is revolutionizing the world of research. This requires academics to redefine their roles and work in collaboration with AI.
The integration of AI into production processes can reduce the need for labor, especially in factories. This brings with it the risk of widespread unemployment. It is important for societies to be prepared for this transformation and strengthen their social safety nets.
International standards are being developed to manage the risks brought by AI and ensure its ethical use:
- ISO/IEC 23894:2023: Provides guidance for identifying, analyzing and monitoring risks throughout the life cycle of AI systems.
- ISO/IEC 42001:2023: Specifies requirements for the establishment, implementation and continuous improvement of AI management systems.
These standards aim to support organizations in using AI technologies responsibly and securely.
In Germany, 92% of businesses use AI technologies directly or indirectly. This widespread use necessitates effective and ethical management of AI.
The following steps are recommended to manage the social and economic impacts of AI:
1. Education and Awareness: Raising public awareness of AI and disseminating educational programs.
2. Social Security: Strengthening social safety nets against workforce transformation and evaluating basic income practices.
3. Ethics and Legal Regulations: Establishing and implementing national and international legal frameworks for the ethical use of AI.
While evaluating the opportunities offered by AI, it is critical to consider the risks it brings and to direct this technology for the benefit of humanity.
