• Terms and Policies

    Comitium AI Responsible AI Use, Transparency & Human Oversight Policy

    Last Updated: 1/1/2025

    Comitium AI builds AI systems designed to augment human judgment, improve policy intelligence, and support responsible engagement across government, business, and civil society.

    This policy explains how we expect our AI to be used, our transparency commitments, and the role of human oversight in all applications of our technology.

    By using Comitium AI’s products, APIs, and services (“Services”), you agree to follow this policy.

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    1. Guiding Principles

    Comitium AI’s approach to responsible AI is grounded in five principles:

    Human-centered design — AI augments, not replaces, human judgment.

    Transparency — Users should understand capabilities, limitations, and appropriate use.

    Safety & integrity — Preventing harmful, abusive, or high-risk misuse.

    Accountability — Users and organizations remain responsible for decisions made using AI.

    Inclusivity & fairness — Policy intelligence should consider multiple perspectives and reduce, not amplify, inequities.

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    2. Required Human Oversight

    AI-generated insights must be reviewed by qualified humans—especially in domains that affect:

    public policy

    regulation and compliance

    financial decisions

    legal strategy

    government affairs

    public health, safety, or well-being

    critical communications

    stakeholder engagement

    environmental or climate-related assessments

    Users must:

    validate the accuracy of AI-generated content,

    ensure context-appropriate interpretation,

    apply professional or organizational judgment before taking action,

    seek subject-matter expert review where high stakes are involved.

    Comitium AI systems must not be used for autonomous decision-making in sensitive or regulatory domains.

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    3. Transparency Requirements (for All Users)

    When using Comitium AI systems:

    3.1 Disclosure in External Communication

    If AI-generated content is shared externally (clients, regulators, policymakers, media, or the public), you must:

    disclose that AI assistance was used, and

    ensure the content has undergone human review.

    3.2 No Misrepresentation

    Users may not:

    present AI-generated material as authoritative analysis without qualification,

    imply that Comitium AI endorses a position,

    misrepresent Outputs as official policy, legal advice, or professional judgment.

    3.3 Explainability

    Users should be prepared to explain:

    how AI was used,

    how final decisions were made,

    how human oversight and validation were applied.

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    4. Responsible Use Requirements

    Users must follow these standards when using Comitium AI’s Services.

    4.1 Allowed Use

    Comitium AI supports uses that:

    elevate policy analysis and foresight,

    improve institutional effectiveness,

    strengthen stakeholder inclusion,

    support evidence-based public affairs work,

    accelerate responsible innovation,

    enhance transparency and accountability in governance.

    4.2 Prohibited Use

    Users may not use the Services for:

    a. Illegal or harmful activity

    violating laws or regulations

    fraud, deception, or illicit surveillance

    exploitation or harassment

    generating defamatory or malicious content

    b. High-risk, unsupported, or sensitive decisions

    medical or clinical decision-making

    legal advice without attorney oversight

    financial advice without licensed review

    safety-critical or autonomous decision systems

    law enforcement or intelligence surveillance

    weapons-related design or optimization

    c. Political manipulation or disinformation

    targeted political persuasion

    influence operations

    covert lobbying communications

    deceptive engagement with policymakers

    manipulating public opinion or elections

    Comitium AI may allow transparent, non-deceptive political analysis or scenario exploration when explicitly permitted through enterprise agreements.

    d. Misuse of Outputs

    using Output to train competing AI systems

    attempting to reverse-engineer or extract model parameters

    generating synthetic identities or impersonation

    creating misleading datasets or forged documents

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    5. Safety, Monitoring & Abuse Prevention

    Comitium AI implements safeguards to:

    monitor for harmful or abusive use,

    detect anomalous patterns,

    protect system integrity,

    maintain user and societal safety.

    We may suspend or terminate accounts that violate this policy or present safety risks.

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    6. Accuracy, Limitations & Appropriate Use

    AI systems have inherent limitations.
    Output may be:

    incomplete or outdated

    inaccurate or inconsistent

    sensitive to phrasing

    limited by underlying data

    insufficient for high-stakes decisions

    Users are responsible for:

    verifying facts and citations,

    evaluating assumptions and implications,

    ensuring Outputs reflect up-to-date information,

    avoiding over-reliance on model-generated reasoning.

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    7. Data Use, Privacy & Security

    Comitium AI’s use of personal data is governed by our Privacy Policy.
    We do not use User Content to train models without explicit permission.

    Users remain responsible for:

    ensuring lawful handling of data,

    protecting confidential or regulated content,

    complying with organizational or jurisdictional requirements.

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    8. Enterprise-Specific Obligations

    Organizations using Comitium AI must:

    train their teams on appropriate AI use,

    implement internal oversight or review processes,

    maintain safeguards around mis/disinformation,

    ensure compliance with sector-specific regulations,

    designate responsible personnel (“AI stewards”) when required.

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    9. Reporting Misuse or Safety Concerns

    Users should report suspected misuse, vulnerabilities, or safety issues to:

    security@comitiumai.com

    safety@comitiumai.com

    We will review all reports promptly.

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    10. Changes to This Policy

    We may update this policy to reflect:

    regulatory developments,

    safety advancements,

    new product capabilities,

    evolving best practices.

    Material updates will be communicated through our website.

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    11. Contact

    Comitium AI, Inc.
    Website: https://www.comitiumai.com
    Email: policy@comitiumai.com

Lobbying & Public Affairs Firm

Lobbying & Public Affairs Firm A DC-based lobbying and public affairs firm advising clients across regulated industries must navigate overlapping legislative calendars; rulemakings and enforcement actions; campaign finance and political activity; coalition dynamics; media and narrative risk; and fast-moving events — all while aligning advocacy strategy with client business objectives and reputational considerations. stepw(AI)se helps the firm define how AI can responsibly augment advocacy analysis, strategy development, and engagement — establishing clear use cases, workflows, and guardrails aligned with client expectations, confidentiality requirements, and reputational risk. p(AI) then integrates policy intelligence with political activity, stakeholder positioning, competing interests, and real-time developments — enabling teams to map allies and opponents, test advocacy scenarios, sequence engagement, and generate advocacy-ready materials as conditions evolve. The result is sharper strategic judgment and more effective influence, delivered with speed, discipline, and accountability.

In-House Government Affairs — International Insurance Group (U.S. Operations)

In-House Government Affairs — International Insurance Group An international insurance group with significant U.S. operations must navigate policy related to solvency and capital adequacy; financial stability and systemic risk; climate and ESG disclosure; digital governance and cybersecurity; consumer protection and market conduct; and trade and cross-border regulation — all while aligning regulatory exposure with underwriting, pricing, and long-term growth strategy. stepw(AI)se supports leadership in determining how AI should be applied across government affairs, compliance, and strategy — identifying high-value use cases, defining data boundaries, and aligning AI-enabled analysis with enterprise risk tolerance. p(AI) then connects regulatory developments, legislative activity, and stakeholder dynamics with internal business context — enabling teams to assess exposure, explore scenarios, coordinate internally, and engage regulators and policymakers with a unified, evolving policy agenda. The result is more proactive risk management and more coherent engagement, grounded in policy intelligence that keeps pace with both regulation and business strategy.

Global Environmental Policy Think Tank

Global Environmental Policy Think Tank A long-established global environmental policy think tank has built its reputation over five decades by translating complex science and fact-based analysis into credible, actionable guidance for policymakers, advocates, and institutions worldwide. Its work spans climate change, biodiversity, natural resources, sustainable food and agriculture, energy transition, mobility, and sustainable finance — published in dozens of languages and relied on across regions. As the policy ecosystem grew more crowded and philanthropic funding increasingly shifted toward in-house programs, the organization faced a strategic inflection point: how to amplify impact and remain indispensable in an environment defined by accelerating complexity and competition. stepw(AI)se supported the institute in designing a responsible AI integration strategy — identifying where AI could meaningfully advance long-term research agendas, comparative policy analysis, and public-facing engagement, while preserving rigor, transparency, and trust. p(AI) then enabled the creation of an AI-powered environmental policy model and clearinghouse — integrating decades of internal research alongside external sources, grounding analysis in verified evidence, structuring inquiry through policy-native workflows and user-specific interaction, and maintaining continuity across evolving data, negotiations, and stakeholder priorities. The result is a living policy intelligence system that deepens insight, strengthens institutional credibility, and supports more effective evidence-based engagement at global scale — and an institute reimagined for its next chapter of impact.