What's Happening?
Daniel Baer, Senior Vice President at the Carnegie Endowment for International Peace, recently discussed the potential impact of artificial intelligence (AI) on think tanks and knowledge creation. In a podcast with Resources Radio, Baer elaborated on his
article, 'Mission Over Model: What Might AI Mean for an Organization Like Carnegie?' He suggests that AI will shift the focus of research institutions from producing a high volume of content to generating fewer, but more genuinely novel, pieces of research. Baer highlights that while the internet democratized information distribution, AI is democratizing content creation, leading to an information surplus. This surplus means that much of the 'explainer research' or purely synthesizing research, which previously filled an information gap, may now be handled by AI. The Carnegie Endowment has also implemented an AI policy, currently in version 3.0, which prohibits AI-generated content on its platforms but encourages transparent experimentation with AI tools for tasks like data analysis, provided usage is documented and acknowledged.
Why It's Important?
The insights from Daniel Baer are significant for U.S. think tanks and research institutions, as they highlight a fundamental shift in the knowledge economy. The move from an information shortage to an information surplus, driven by AI, challenges traditional models of research production and dissemination. This could lead to a re-evaluation of funding priorities, with a greater emphasis on truly original and high-quality research that AI cannot easily replicate. For policymakers and other stakeholders, the increasing reliance on AI for basic information means that trusted human experts will become even more crucial for curating, refining, and interpreting complex ideas. The Carnegie Endowment's approach to AI policy, emphasizing transparency and learning, could serve as a model for other organizations grappling with the ethical and practical implications of integrating AI into their work, ensuring that the integrity and value of human expertise are maintained.
What's Next?
The ongoing evolution of AI will likely continue to prompt U.S. think tanks and research organizations to adapt their strategies. Institutions may increasingly invest in developing researchers' skills in curation, critical analysis, and creative problem-solving, rather than solely in content generation. There could be a growing emphasis on the 'convening' role of think tanks, bringing together diverse groups for meaningful, generative discussions that leverage human interaction to tackle complex issues. Furthermore, the debate around research transparency and the public domain will intensify. Organizations may explore new models for disseminating their work, potentially controlling distribution more carefully to ensure proper context and nuance, especially as AI models increasingly digest and re-present information. This could lead to a more nuanced approach to public versus private research dissemination, balancing broad accessibility with the need to preserve the intended impact of expert analysis.
Beyond the Headlines
Beyond the immediate operational changes, the integration of AI into research raises profound philosophical questions about the nature of expertise and the human role in knowledge creation. Baer's assertion that 'the act of writing is the most important ongoing training we have for wrestling with ideas' underscores the intrinsic link between writing and thinking, suggesting that over-reliance on AI for content generation could diminish critical intellectual development. This has ethical implications for academic integrity and the cultivation of deep thought. The potential for AI to mediate the intersection between knowledge and power structures also raises concerns about bias, accountability, and the potential for AI-generated 'slop' to obscure genuine insights. The challenge for U.S. society will be to harness AI's capabilities to augment human intelligence and creativity, rather than allowing it to dilute the value of rigorous, nuanced, and ethically sound research.
