Policymaking.ai - Using AI to assist with public policy

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Hi all

I’ve created policymaking.ai to provide free resources and a platform for sharing ideas on the use of artificial intelligence to assist with policymaking by government.

The site is intended to fill a gap by providing public policy professionals with practical ideas on how they can apply AI tools in their day-to-day work.

It includes guides on things such as:

  • Policy analysis using AI
  • Brainstorming policy ideas using AI
  • Stakeholder analysis using AI
  • Privacy impact assessments using AI
  • Talking points and key messages drafted by AI

The site include sample prompts that can be used with ChatGPT to undertake the tasks, as well as other news and information on AI for policymaking.

My hope is for the site to improve public policy outcomes by making the policy development process more effective, efficient and innovative through the responsible use of AI.

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Welcome to our community. Looks like an interesting project. So much going on in so many areas these days. Thanks for sharing with us.

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make a policy purpose :Etihad Airways’ Government Affairs Policy guides its department in managing interactions with government entities, ensuring compliance with regulations, building strategic relationships, and coordinating diplomacy. It aims to foster transparent relationships with local and federal government authorities, advocate and negotiate the airline’s interests on an international scale, and align with government protocols and expectations.

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wow this is amazing, are you still pursuing this project actively

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The site has now been replaced with a custom GPT called Policy Advisor. Policy Advisor is designed to assist public policy professionals with strategic policymaking for government. Feel free to check it out!

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Very cool. Here’s a scientific method variant CoT to explore:

Policy Learning for Ethical Dialogue Agents CoT:

  • Observation: Identify the need for conversational AI systems to exhibit ethical
    and socially-responsible behavior in their interactions.
  • Question: Formulate questions about developing NLP techniques that
    incorporate ethical policy learning for dialogue agents.
  • Hypothesis: Propose hypotheses on the linguistic and contextual factors that
    should guide the ethical decision-making of conversational AI systems.
  • Experiment: Design experiments to evaluate the performance and user
    perceptions of dialogue agents with ethical policy learning capabilities.
  • Analysis: Analyze data to understand the trade-offs and best practices in
    embedding ethical reasoning into conversational AI.
  • Conclusion: Interpret results to enhance the ethical decision-making and
    behavior of dialogue agents through NLP-powered policy learning.
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