Combined Developer + Deployer Obligations
Organizations that both develop AI internally and deploy those systems for consequential decisions must comply with both sides of the developer/deployer split that runs through most US AI laws.
Governance routing
Use the AI governance guide to assign decision rights, committees, lifecycle gates, and escalation paths before mapping role-specific duties into the AI compliance framework register.
Obligations under US laws
- consumer rightConnecticut Public Act 26-15 / SB 5 (Online Safety and AI Provisions)Public Act 26-15 (Sub. SB 5) — AI companion provisions
On and after January 1, 2027, an operator of an AI companion (a system designed to simulate sustained human-like relationships with a user) must implement the Act's chatbot safety provisions, including protections for minors. These operator duties sit within the Act's broader youth online-safety framework and are enforced by the Attorney General as CUTPA violations.
Deadline: from_2027-01-01
- data handlingFlorida AI Legislation (Deepfake and AI Disclosure Laws)Fla. Stat. § 836.13 (HB 757 / Brooke's Law)
Do not willfully generate, solicit, promote, or possess with intent to promote an altered sexual depiction of an identifiable person without consent, including AI-generated deepfakes. Covered platforms must remove altered sexual depictions and known identical copies within 48 hours of a valid takedown request. Civil exposure includes $10,000 or actual damages for covered violations, plus FDUTPA penalties for takedown failures.
Deadline: 48_hour_takedown
- governanceTexas Responsible Artificial Intelligence Governance Act (TRAIGA)Tex. Bus. & Com. Code § 552.104, § 552.105
On receipt of a written notice of alleged violation from the Texas Attorney General, cure the violation within the statutory cure window to avoid tier-1 civil penalties of $10,000–$12,000; uncurable violations and continuing violations escalate to $80,000–$200,000 per violation and $2,000–$40,000 per day under § 552.105.
Deadline: on_ag_notice
Framework controls
GOVERN function: establish policies, processes, structures, and accountability for AI risk management across the organization, including senior leadership oversight and a risk-based culture.
MAP function: identify the context, intended uses, stakeholders, and risks of each AI system, including categorization of impacts on individuals, communities, and the organization.
MEASURE function: assess, analyze, and monitor AI risks using both quantitative and qualitative methods, including bias evaluation, robustness testing, and explainability assessments.
MANAGE function: prioritize and treat identified risks, allocate resources, and implement risk response strategies including mitigation, transfer, acceptance, or avoidance.
Establish, implement, maintain, and continually improve an AI management system (AIMS) covering policies, leadership commitment, roles, and integration with other management systems.
Conduct AI system impact assessments and risk assessments addressing intended uses, deployment context, affected stakeholders, and mitigation of identified risks per Annex A.5 controls.
Maintain documentation throughout the AI system lifecycle including data management, system development, verification and validation, and deployment per Annex A.6 controls.
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