Human-AI Collaboration Governance Framework

How Our Project Will Contribute To The Growth Of The Decentralized AI Platform

Polis.ai aligns with the BGI mission by enhancing inclusive governance through AI-driven decision support and blockchain-secured citizen participation. It fosters data-driven policymaking, eliminates bureaucratic inefficiencies, and empowers communities with transparent, adaptive governance tools. By prioritizing social sustainable development, Polis.ai ensures policies align with long-term societal well-being, reinforcing BGI’s commitment to ethical, participatory, and scalable solutions.

Our Team

@EnergiaSocial and @KineticCorp bring complementary expertise to Polis.ai’s development. Energía Social specializes in social innovation, policy design, and participatory governance, while Kinetic Corp excels in AI, blockchain, and scalable infrastructure. The teams unite years of experience with a proven track record of innovation, blending creativity, project excellence, and precision. Their synergy enables a robust and tech-driven approach to sustainable social development.

The core problem we are aiming to solve

Polis.ai addresses the inefficiencies, ideological biases, and lack of adaptability in traditional governance. Bureaucratic bottlenecks, uninformed policymaking, and limited citizen participation hinder effective decision-making. By integrating AI-driven legislative support, blockchain-secured voting, and participatory deliberation, Polis.ai eliminates inefficiencies, enhances transparency, and empowers communities to co-create data-driven, sustainable policies for societal well-being.

Our specific solution to this problem

Polis.ai is an AI-driven governance and decision-support system designed to transform policy development, evaluation, and execution with safety through machine learning, blockchain-secured voting, and participatory deliberation. By integrating natural language processing, predictive modeling, and structured argument mapping, Polis.ai enables citizens, experts, and policymakers to collaboratively craft, analyze, and refine ethical data-driven, sustainable policies.

The system streamlines legislative processes by allowing citizens to submit policy ideas through an interactive AI interface, which then refines and structures proposals based on feasibility, historical data, and sustainability impact assessments. Polis.ai will incorporate multiple governance model, reputation systems, consent-driven decision-making, quadratic and delegated voting, and liquid democracy, to ensure dynamic and adaptable decision-making. 

By leveraging blockchain technology, Polis.ai ensures secure, tamper-proof voting and automated policy execution through smart contracts, reducing bureaucratic inefficiencies. AI-powered debate and deliberation tools facilitate structured, fact-based discourse, ensuring inclusivity, fairness, and alignment with ethical AI principles.

Polis.ai bridges the gap between citizens and governance, eliminating bottlenecks, enhancing participatory democracy, and ensuring policies align with long-term societal well-being and sustainable social development.

Project details

“The next step along this path will be to supply our decision makers (meaning our politicians and businesspeople, as well as and our ordinary citizens) with powerful AI-based software for decision support”, CEO Dr. Ben Goertzel, The Consciousness Expansion

Polis.ai: AI-Driven Governance and Decision Support for Social Sustainable Development

Polis.ai is an innovative AI-driven governance and decision-support system designed to enhance participatory democracy, streamline policy development, and ensure sustainable social development. By integrating blockchain-based voting, advanced machine learning, and argument mapping, Polis.ai empowers citizens, experts, and policymakers to collaboratively shape legislation and policy solutions with increased transparency, efficiency, and accountability.

Vision and Objectives

Polis.ai seeks to revolutionize governance by combining AI-driven policy evaluation, legislative development, and decision support into a seamless and accessible framework. Our vision is to create an AI legislative agent that assists citizens in transforming ideas into structured legislative proposals, analyzes policy feasibility, and facilitates inclusive, data-driven governance.

By leveraging machine learning, logic-based reasoning, and evolutionary computing, Polis.ai will refine and enhance policy initiatives, ensuring decisions align with principles of sustainable social development. The platform will function initially as a decision-support tool, evolving into an AI-powered policy generation and execution system, reducing dependence on traditional bureaucratic processes while maintaining human oversight.

Human-AI Collaboration

Polis.ai fosters Human-AI collaboration as a pillar for sustainable social development, integrating AI as a decision-support tool rather than a replacement for human judgment. By combining AI-driven insights with human expertise, the platform strengthens governance processes, ensuring policies align with sustainability goals and ethical standards. By embedding AI within a human-centric governance model, Polis.ai fosters balanced, transparent, and participatory decision-making, driving sustainable development with accountability and inclusivity at its core.

Safety and Ethics in Polis.ai

Polis.ai is committed to responsible AI development, ensuring ethical considerations and safety are embedded throughout our project lifecycle. As a platform focused on civic engagement and governance, we recognize the importance of data security, fairness, and transparency. Below, we outline our approach to safety, ethics, and implementation.

1. Safety Considerations: Polis.ai facilitates AI-driven discourse analysis and deliberative decision-making. Given our interaction with user-generated content and potential automated decision-support mechanisms, we identify the following safety risks and mitigation strategies:

• Data Privacy and Security: All user data will be encrypted in transit and at rest. Personally identifiable information (PII) will be anonymized where possible. Users will have full control over their data, including the right to delete their contributions.

• Robustness and Reliability: Our AI models will undergo rigorous testing to prevent vulnerabilities and adversarial manipulation. Continuous monitoring and logging will help detect anomalies and potential misuses.

• Mitigating Misinformation and Bias: AI-driven content moderation will be complemented by human oversight to reduce false positives and negatives. Regular audits will be conducted to detect and mitigate algorithmic biases.

2. Ethical Considerations: Polis.ai’s AI models will be trained on diverse datasets to minimize systemic bias. We will incorporate feedback loops to ensure equitable representation of different perspectives.

• Transparency and Accountability: All AI-generated recommendations and analyses will be explainable, providing users with justifications for outputs. We will establish an external advisory board to review ethical concerns and guide responsible AI development.

• Global Impact and Responsible Data Use: We will align our governance model with international best practices for ethical AI. Public reports on data governance and ethical compliance will be published periodically.

Avoiding Ideological Bias

To ensure Polis.ai remains objective, transparent, and aligned with sustainable social development, we'll implement a multi-layered bias mitigation strategy. The AI will be trained on diverse, non-partisan datasets covering a wide spectrum of perspectives, avoiding reliance on any single ideological framework.

• Fact-Based Learning: Prioritizing data from peer-reviewed research, legal precedents, and established governance frameworks.

• Crowdsourced Validation: Policies and AI outputs will be reviewed by diverse expert panels representing different political and social backgrounds.

• Bias Detection Algorithms: AI will be equipped with self-auditing mechanisms that detect and flag ideological slants, prompting human review.

• Transparent Decision-Making: All AI-generated recommendations will include explainability reports detailing how conclusions were reached.

• Sustainability-Centric Evaluation: AI will assess policy proposals based on their alignment with social, economic, and environmental sustainability goals, ensuring decision-making remains grounded in long-term societal benefit rather than ideological positions.

Key Features and Functions

1. AI-Enhanced Legislative Development: Citizens input policy ideas into an interactive AI interface. Polis.ai structures, refines, and generates comprehensive legislative drafts. We will analyze the implementation of multiple governance models (reputation systems, liquid democracy, quadratic voting, delegated voting) to ensure adaptable and dynamic policymaking. Open-source development promotes transparency and security.

2. Intelligent Policy Evaluation & Forecasting: AI evaluates past policies, analyzing historical data and real-world impact. Predictive models simulate potential outcomes of proposed policies. AI-driven risk assessments and scenario-based recommendations enhance voter awareness. Sustainability-focused AI ensures long-term societal benefits.

3. Blockchain-Based Transparent Voting System: Blockchain technology secures voting integrity and prevents manipulation. Smart contracts automate policy execution upon citizen approval. AI educates voters on policy implications through unbiased, data-driven insights.

4. AI-Powered Interactive Debate & Deliberation: Polis.ai integrates with deliberation platforms (e.g., a system inspired by DebateGraph) to enable structured discourse. AI facilitates argument mapping, counterpoint analysis, and verification. Policymakers, experts, and citizens collaboratively define legislative initiatives. AI ensures inclusivity by analyzing diverse perspectives and minimizing bias.

5. Adaptive AI Decision Support System: Hybrid AI methodologies (deep learning, logic engines, evolutionary computing) enhance decision-making. AI-driven content generation supports public awareness and engagement. Continuous learning algorithms improve policy evaluation and legislative development over time.

6. Bridging Knowledge Gaps & Promoting Inclusivity: AI generates personalized educational materials to simplify complex policies. Natural Language Processing ensures accessibility across diverse languages and literacy levels. AI mitigates socio-economic disparities by making legislative processes understandable and participatory.

Adoption Strategy

We recognize that success depends on strategic adoption, public trust, and integration into existing systems. Our approach prioritizes early collaboration with governance innovators, real-world pilot programs, and user-friendly engagement tools to scale adoption.

By partnering with municipalities, decentralized organizations, and AI research institutions, we ensure accessibility, transparency, and sustainability. Adoption starts with municipal-level use cases in small towns and low-demographic communities, allowing us to deploy, test, refine, and validate AI-assisted governance models before expanding to larger jurisdictions. Another ideal scenario for creating a pilot use case would be educational institutions, universities, where we can draw public awareness about the potential of applying AI in community decision making.

Second Phase: Integration of ASI Alliance

In a future second phase of development, we will design a tailored strategy and roadmap to integrate the capabilities of ASI Alliance members, ensuring robustness, decentralization, and interoperability. This will leverage the alliance’s strengths to enhance Polis.ai, maximizing its potential impact.

With SingularityNET’s OpenCog Hyperon & MeTTa, we will enable symbolic reasoning, cognitive synergy, and adaptive governance AI, allowing self-evolving policy models based on logic inference and meta-learning.

Using Fetch AI’s Agents like Autonomous Economic Agents, we will facilitate real-time decision automation, policy execution, and consensus mechanisms, optimizing governance through self-executing smart contracts.

Leveraging Ocean Protocol’s decentralized data sharing, we will ensure secure, privacy-preserving governance data access, allowing AI models to learn from trusted datasets while maintaining sovereignty.

With CUDOS’ scalable compute, we will power large-scale AI governance simulations, ensuring cost-efficient, real-time processing of policy models and compliance mechanisms.

Our commitment

Polis.ai will be building the foundation for AGI as a common good, ensuring transparent, inclusive, and sustainable governance. By merging human knowledge, experience and cultural insights with AI-driven decision-making, we can create a fair, participatory system where AGI serves society, empowering communities and securing a future of shared prosperity and ethical innovation.

Needed resources

TBD

Existing resources

TBD

Open Source Licensing

Links and references

@energiasocial A renewable energy social business driving user-generation revolution in LatAm since 2017, a business model focused in sustainable social development https://energiasocial.co/  https://www.linkedin.com/company/energiasocial/?viewAsMember=true 

@Kinteci-group Cingreate value through consulting, training, software development, outsourcing and cloud services. https://kinetic-corp.com/ https://www.linkedin.com/company/kineticcorp/posts/?feedView=all

Was there any event, initiative or publication that motivated you to register/submit this proposal?