Summaries created by AI for policymaking

AI tools like ChatGPT can greatly assist in summarising complex information and documents in the policymaking process. By leveraging natural language processing and understanding capabilities, these tools can quickly analyze and condense large volumes of data, saving time and resources. Here are some key areas where AI-based summarisation can be particularly helpful in policymaking:

  1. Policy documents: Summarising lengthy policy documents, proposals, and legislation to present concise overviews and highlight key points for decision-makers and stakeholders.

  2. Research papers and reports: Reviewing and condensing academic papers, technical reports, and other research materials relevant to policy development, enabling policymakers to easily access and understand the evidence base for a particular policy.

  3. Public consultations and feedback: Analyzing responses from public consultations, surveys, and other feedback mechanisms to identify trends, common concerns, and suggestions, which can help inform and refine policy decisions.

  4. News articles and media coverage: Monitoring and summarising news articles, blog posts, and social media content related to policy topics, ensuring policymakers are up-to-date with public opinion, emerging issues, and potential controversies.

  5. Cross-jurisdictional comparisons: Reviewing and comparing policies and best practices from different regions or countries, supporting evidence-based policymaking and identifying successful strategies to address specific challenges.

  6. Stakeholder positions and interests: Summarising positions and interests of various stakeholders, including NGOs, industry groups, and community organizations, to better understand the potential impacts of a policy and facilitate collaboration.

  7. Meeting minutes and transcripts: Condensing minutes from meetings, conferences, and panel discussions, providing policymakers with a succinct overview of the key points and decisions made.

AI-driven summarisation tools can significantly improve the efficiency and effectiveness of the policymaking process by making complex information more accessible, fostering better-informed decisions, and enabling a more comprehensive understanding of the policy landscape.

Sample AI prompts

Summarise the key points of the policy document in TEXT_PLACEHOLDER.

Provide an overview of the main findings from the research paper in TEXT_PLACEHOLDER.

Extract the most important recommendations and conclusions from the report in TEXT_PLACEHOLDER.

Identify the primary concerns and suggestions raised in the public consultation responses in TEXT_PLACEHOLDER.

Highlight the main arguments and perspectives presented in the news article in TEXT_PLACEHOLDER.

Compare and contrast the policies discussed in the documents from different jurisdictions in TEXT_PLACEHOLDER.

Outline the positions and interests of various stakeholders mentioned in TEXT_PLACEHOLDER.

Sum up the major decisions and discussion points from the meeting minutes or transcripts in TEXT_PLACEHOLDER.

Analyse the potential impacts and implications of the proposed policy in TEXT_PLACEHOLDER.

Describe the challenges and opportunities identified in the policy analysis in TEXT_PLACEHOLDER.

How this image was created using AI

The following prompt was used with ChatGPT (GPT-3.5):

Suggest some prompts to create an image to accompany the following website post: [post text]

One of the prompts suggested by ChatGPT was as follows:

Illustrate an image that visualizes AI tools condensing research papers and reports. Show AI algorithms processing stacks of papers, extracting essential findings, and presenting them in a simplified format. Use visual elements like research papers, AI algorithms, and condensed information to symbolize the AI-driven streamlining of research for policymaking.

This prompt was then used to create an image using Image Creator from Microsoft Bing.