Research
This manual outlines principles for the responsible and effective use of Generative Artificial Intelligence (AI) at HCSS, in recognition of both the opportunities and the challenges and limitations related to the use of Generative AI applications in applied research and policy analysis. The manual outlines ten maxims based on a set of principles centering on confidentiality, transparency, authenticity, reliability, integrity and ingenuity. These principles serve to ensure the responsible use of Generative AI in line with professional practices of research, ethical standards, and legal requirements related to privacy and copyright. Overall, the manual calls for a balanced approach towards integrating generative AI in research and policy analysis. It underscores the need to address inherent biases within generative AI applications and reiterates the importance of multidisciplinary and multimethod approaches in applied research. Ultimately, the principles serve as a foundation for harnessing the capabilities of Generative AI while enhancing the effectiveness of human analysts and safeguarding the integrity of research outcomes. The manual will be updated in due course as the situation evolves.
Authors: Tim Sweijs, Jesse Kommandeur, Abe de Ruijter
Cover image source: DALL-E
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