Artificial Intelligence and Its Political and Critical Normative Implications

Area of Science:

• Systems science
• Information and knowledge societies
• Innovation ecosystems

Background:

• Digital technologies, particularly artificial intelligence (AI), are transforming big data-driven knowledge production.
• AI applications span public policy, governance, and healthcare innovation, including internal medicine, surgery, biotechnology, and public health.
• The increasing efficiency and throughput in science and medicine due to AI bring significant political and moral considerations.

Purpose of the Study:

• To explore and understand the role of AI within the conceptual frameworks of the information society, knowledge society, and innovation ecosystems.
• To examine AI's impact through the lens of critical policy studies and governance.
• To review and analyze the political and normative implications of AI for a systems science audience.

Main Methods:

• Literature review and critical analysis of AI's role in systems science.
• Exploration of AI's generative nature and its societal, cultural, and scientific impacts.
• Examination of AI within the context of 21st-century innovation ecosystems and governance.

Main Results:

• AI's transformative potential extends beyond efficiency to reshaping human behavior, societies, cultures, and scientific practices.
• Understanding AI's political and normative dimensions is crucial for navigating its integration into various sectors.
• The study highlights the need for critical policy studies to guide AI governance.

Conclusions:

• Artificial intelligence presents both opportunities and challenges, necessitating careful consideration of its societal and ethical implications.
• AI's generative capacity requires a nuanced understanding of its influence on human behavior and societal structures.
• Integrating AI into science and innovation ecosystems demands a governance framework informed by critical policy studies.