Raman Raghu, Lathabai Hiran H, Mandal Santanu, Das Payel, Kaur Tavleen, Nedungadi Prema
Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India.
Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India.
PLoS One. 2024 Apr 24;19(4):e0297521. doi: 10.1371/journal.pone.0297521. eCollection 2024.
Generative AI tools, such as ChatGPT, are progressively transforming numerous sectors, demonstrating a capacity to impact human life dramatically. This research seeks to evaluate the UN Sustainable Development Goals (SDGs) literacy of ChatGPT, which is crucial for diverse stakeholders involved in SDG-related policies. Experimental outcomes from two widely used Sustainability Assessment tests-the UN SDG Fitness Test and Sustainability Literacy Test (SULITEST) - suggest that ChatGPT exhibits high SDG literacy, yet its comprehensive SDG intelligence needs further exploration. The Fitness Test gauges eight vital competencies across introductory, intermediate, and advanced levels. Accurate mapping of these to the test questions is essential for partial evaluation of SDG intelligence. To assess SDG intelligence, the questions from both tests were mapped to 17 SDGs and eight cross-cutting SDG core competencies, but both test questionnaires were found to be insufficient. SULITEST could satisfactorily map only 5 out of 8 competencies, whereas the Fitness Test managed to map 6 out of 8. Regarding the coverage of the Fitness Test and SULITEST, their mapping to the 17 SDGs, both tests fell short. Most SDGs were underrepresented in both instruments, with certain SDGs not represented at all. Consequently, both tools proved ineffective in assessing SDG intelligence through SDG coverage. The study recommends future versions of ChatGPT to enhance competencies such as collaboration, critical thinking, systems thinking, and others to achieve the SDGs. It concludes that while AI models like ChatGPT hold considerable potential in sustainable development, their usage must be approached carefully, considering current limitations and ethical implications.
诸如ChatGPT之类的生成式人工智能工具正在逐步改变众多领域,显示出对人类生活产生重大影响的能力。本研究旨在评估ChatGPT对联合国可持续发展目标(SDGs)的认知程度,这对于参与可持续发展目标相关政策的不同利益相关者至关重要。两项广泛使用的可持续性评估测试——联合国可持续发展目标适应性测试和可持续性素养测试(SULITEST)的实验结果表明,ChatGPT展现出较高的可持续发展目标素养,但其全面的可持续发展目标智能仍需进一步探索。适应性测试在入门、中级和高级水平上衡量八项关键能力。将这些能力准确映射到测试问题对于部分评估可持续发展目标智能至关重要。为了评估可持续发展目标智能,两项测试的问题都被映射到17个可持续发展目标和八项跨领域的可持续发展目标核心能力,但发现两项测试问卷都不够充分。SULITEST只能令人满意地将八项能力中的五项进行映射,而适应性测试则成功映射了八项中的六项。关于适应性测试和SULITEST的覆盖范围,它们与17个可持续发展目标的映射,两项测试都存在不足。大多数可持续发展目标在这两种工具中的体现都不足,某些可持续发展目标根本没有体现。因此,这两种工具在通过可持续发展目标覆盖范围评估可持续发展目标智能方面都被证明是无效的。该研究建议ChatGPT的未来版本增强协作、批判性思维、系统思维等能力以实现可持续发展目标。研究得出结论,虽然像ChatGPT这样的人工智能模型在可持续发展方面具有巨大潜力,但考虑到当前的局限性和伦理影响,必须谨慎使用它们。