AI: Challenges and opportunities for think tanks 

18 January 2023

I asked ChatGPT about its own influence on think tanks. My exact instructions were:

Write an article for On Think Tanks. Make it a blog style. Consider: 1) How will technologies like ChatGPT and other AI affect the work and usefulness of Think Tanks? 2) How can think tanks take advantage of ChatGPT and other AI? Provide real life examples where possible.

ChatGPT’s answer is copied and pasted below. I have not made any changes.


 

Artificial intelligence (AI) technologies like chatgpt have the potential to revolutionize the way that think tanks conduct research and engage with stakeholders. Think tanks are organizations that conduct research and provide analysis and policy recommendations on a variety of issues, often related to public policy, economics, and political science. These organizations play a key role in influencing policy decisions and shaping public debate, and they rely on high-quality research and analysis to inform their work.

AI technologies like chatgpt can potentially help think tanks to process and analyze large amounts of data more efficiently and effectively, and to generate insights and recommendations that might not be apparent to human analysts. For example, chatgpt could be used to analyze large datasets, such as social media posts or news articles, to identify trends or patterns that might not be immediately visible to humans. This could be particularly useful for think tanks that focus on policy issues that are influenced by public opinion or media coverage, such as climate change or healthcare reform. By analyzing large amounts of data, chatgpt could help think tanks to identify key themes and issues, and to generate recommendations based on this analysis.

In addition to helping think tanks to conduct research more efficiently, AI technologies like chatgpt could also be used to engage with stakeholders and the general public in new ways. For example, chatgpt could be used to generate reports or articles that explain complex policy issues in a more accessible and engaging manner. This could help think tanks to reach a wider audience and to communicate their research and recommendations more effectively.

There are already examples of think tanks using AI technologies like chatgpt in innovative and impactful ways. For example, the Center for Global Development (CGD) has used chatgpt to generate reports on global development issues, including the impact of COVID-19 on the global economy and the effectiveness of foreign aid. The CGD has also used chatgpt to engage with stakeholders and the general public through social media, by generating tweets and posts that explain complex policy issues in a more accessible and engaging manner.

Another example of a think tank using AI technologies is the RAND Corporation, which has used machine learning algorithms to analyze data on the effectiveness of interventions for preventing and treating mental health disorders. The RAND Corporation has also used AI technologies to develop policy recommendations for addressing issues such as climate change and healthcare reform.

While AI technologies like chatgpt have the potential to significantly enhance the work and usefulness of think tanks, it is important for these organizations to consider the potential risks and challenges that these technologies might pose. For example, think tanks should ensure that they are using reliable and credible sources of data, and that their AI algorithms are trained on diverse and representative datasets. They should also be transparent about their use of AI, and consider ways to ensure that their research and recommendations are based on a robust and reliable evidence base.

In conclusion, AI technologies like chatgpt have the potential to revolutionize the way that think tanks conduct research and engage with stakeholders. By carefully considering the potential risks and challenges and taking steps to address them, think tanks can take advantage of the benefits that these technologies can offer while also minimizing potential risks.