AI-Assisted Identification of Policy-Salient Research Priorities and Emerging Issues
This paper explores possibilities for integrating artificial intelligence (AI) into horizon scanning and key question exercises to navigate the challenges posed by emerging technologies.
This was my first AI methods working paper for the Bitcoin horizon scanning project. To download, click on the link below:
https://dx.doi.org/10.2139/ssrn.4502450
Abstract:
This paper explores possibilities for integrating artificial intelligence (AI) into horizon scanning and key question exercises to navigate the challenges posed by emerging technologies. It demonstrates, using Bitcoin mining as a case example, how AI-assistance can enhance information accessibility, knowledge integration, and research agenda refinement. By leveraging AI, scientists can efficiently identify threats and opportunities, generate high-quality candidate research questions, and prioritize them based on novelty, impact, feasibility, or other relevant factors. While technical limitations persist, ongoing advancements in AI technology hold promise for overcoming obstacles. Integrating AI into horizon scans and key question exercises is essential for addressing the implications of rapidly evolving technologies, fostering timely and focused research, and providing credible scientific evidence to inform policy-making.
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