Evaluation of Stakeholder Perceptions and Applicability of Artificial Intelligence Integration into Environmental Impact Assessment Processes in Nigeria
| Autor: | A. M. Lawal, I. F. Vincent-Akpu, G. N. Woke |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Journal of Applied Sciences and Environmental Management, Vol 28, Iss 10 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2659-1502 2659-1499 |
| Popis: | The integration of Artificial Intelligence (AI) into Environmental Impact Assessment (EIA) processes largely depends on stakeholder perceptions and the practical applicability. Hence, the objective of this paper was to evaluate the stakeholder perceptions and applicability of AI integration into EIA process in Nigeria using 307 semi-structured questionnaires to obtain data from government officials, environmental practitioners, academic researchers, NGO representatives, and community activists. Results revealed a significant gender imbalance, with 62% male and 38% female respondents. The majority of participants were within the 35-44 age group, with a notable under-representation of younger and older age groups. A high familiarity with AI was observed, with 93.2% of respondents reporting awareness. Confidence in the EIA process was generally positive, with 61.9% expressing trust in its decisions. However, concerns about stakeholder engagement and AI's role in enhancing EIA processes were highlighted. The findings suggest a strong potential for AI to improve EIA processes in Nigeria, particularly in automated monitoring and data collection. However, challenges in stakeholder engagement and the need for more inclusive demographic representation were noted. The integration of AI in Nigeria's EIA process shows promise but requires careful consideration of stakeholder concerns and demographic inclusivity. This study provides unique insights into the perceptions of diverse stakeholders regarding the integration of AI into Nigeria's EIA process, highlighting both opportunities and challenges. |
| Databáze: | Directory of Open Access Journals |
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