Artificial Intelligence—A New Knowledge and Decision-Making Paradigm?

Abstract

Based on a large scale of technology application scenarios, artificial intelligence (AI) is expected to have disruptive impact on economies and societies. In recent years, breakthroughs have been made in basic research on the fundamental technologies of artificial intelligence. AI is showing greater potential to become a general-purpose technology. Major economies are focusing on policies, regulations, and strategic plans around basic research and R&D of technology application scenarios in AI. However, the optimization of AI policy-making demands more interdisciplinary knowledge and a broader societal debate. In the domain of technology assessment (TA), the research on AI and its potential impacts has been considered important already early. The research questions, which include impacts on the workforce as well as impacts on societal communication and democracy as well as fundamental issues like responsibility, transparency, and ethics, have drawn widespread attention from TA studies. This chapter presents a scholarly discussion of AI topics in the context of TA, based on a qualitative analysis of AI policy databases from the OECD and EPTA. The analysis concludes that enhancing global cooperation in TA will contribute to address fundamental ethical and societal issues of AI, which in turn broadens the knowledge base and helps to pave way for a more inclusive and just use of AI.

Philosophy of future: analytical overview of interaction between education, science, and artificial intelligence in the context of contemporary challenges

“…The philosophical perspective on the nature of intelligence is related to intelligence as problemsolving ability, learning capacity, adaptability, creativity, and consciousness (Palanca-Castan et al, 2021). While human intelligence is characterized by complex cognitive processes, subjective experiences, and emotional awareness, AI typically focuses on tasks such as pattern recognition, optimization, and decision-making based on algorithms and data (Huang & Peissl, 2023). Moreover, intelligence is inseparable from the physical and social context where it operates (Dorotic et al, 2023).…”

“…The education component represents the educational system, formal schooling, informal learning environments, and lifelong learning in particular. Education fostering essential skills among students and introduces the inquiry-based learning approaches that are oriented towards cultivation of curiosity, creativity, and problem-solving (Huang & Peissl, 2023;Zhang & Aslan, 2021). Within the triangle model, education serves as a consumer and producer of knowledge.…”

The Scientific Literacy Enables Policymakers to Legislate on Artificial Intelligence

“…Nations that have implemented stringent legislation about artificial intelligence (AI), such as the European Union (EU), Canada, and Singapore, have implemented extensive policies aimed at tackling the ethical and legal complexities associated with AI (Huang & Peissl, 2023). These policies guarantee openness, accountability, and equity in developing and implementing AI systems.…”

Business Modernization and the Role of Business Finance in This Process

“…Apple has exemplified remarkable financial performance in the past two fiscal years, with a continuous accumulation in revenue from $260.2 billion [39][40][41][42] in 2019 to $274.5 billion [39][40][41][42] and $365.8 billion for 2020 and 2021 respectively, mainly navigated by substantial sales of diverse products including iPhone, Mac, iPad, wearables as well as home accessories [30][31][32][33][34][35][36][37][38][39][40][41][42]. Furthermore, Apple's profitability stayed robust throughout this extent with gross margins at 38.2 % for both years of comparison pursued by an increment to 41.4 % during the year finishing off on September 25th, 2021 attained through methods such as reducing expenditures while still offering high-quality products that satisfy customers' necessities effectively.…”