Intelligent Leadership for Sustainable Practices
Abstract
This research article posits a novel model for political candidacy grounded in the principles of professional practice and competence, aimed at fostering intelligent leadership capable of driving sustainable practices. It argues that in a democratic system, citizens possess the inherent right to be governed by proficient and ethical representatives, elected through informed decision-making. The proposed "Candidate as Professional Practitioner" model emphasizes rigorous selection criteria, including mandatory educational qualifications, aptitude testing, project proposal submission outlining sustainable development strategies for the constituency, and a commitment to transparency and accountability. By integrating principles of professional selection, project-based planning, and continuous evaluation, this model seeks to enhance the quality of political leadership and promote informed policy decisions crucial for environmental and societal sustainability in an era increasingly influenced by artificial intelligence.
References
2. Barr, A., & Feigenbaum, E. A. (1981). The handbook of artificial intelligence (Vol. 1). William Kaufmann, Inc.
3. European Strategic Programme for Research and Development in Information Technology (ESPRIT). (Various years). Commission of the European Communities.
4. Fifth Generation Computer Systems Project. (Various years). Institute for New Generation Computer Technology (ICOT).
5. Many researchers note the significant economic potential of AI [Многие исследователи отмечают значительный экономический потенциал ИИ]. (n.d.). [This is a placeholder for a relevant academic source in Russian, if one was intended in the original text. A suitable citation on the economic impact of AI should be included here].
6. Microelectronics and Computer Technology Corporation (MCC). (Various years). Annual Reports.
7. Defense Advanced Research Projects Agency (DARPA). (Various years). Program Reports and Publications.
8. Siemens, G. (2005). Connectivism: Learning as network-creation. Instructional Technology and Distance Learning, 2(1), 3-10. [While the introduction cited Siemens (2004), a widely referenced version is from 2005].
