Organizations who are either AI developers or AI deployers are under growing legal liability risk from multiple sources:
- National laws like Title VII of the Civil Rights act and Titles I and V of the ADA
- State laws like Virginia HV 747, Colorado SB24-205, and California SB 942
- Local laws like NYC 144
- Regulatory rules like the ACA 1557 and HHS HTI-1
- Enforceable guidance from regulators like the FDA
- Diverse state legislation on privacy protections, deepfakes, and disallowed uses
- Industry standards like the NIST AI RMF and ISO 42011, which are beginning to be references in court proceedings as representing ‘commercially reasonable efforts’
- International laws like the EU AI Act or Canada’s AIDA which apply to their citizens
This webinar introduces the AI Policy Suite by Pacific AI, which is a unified set of actionable policies that organizations can adopt, which enable compliance with 70+ AI laws, regulations, and standards.
These policies are updated on a quarterly basis which:
- Eliminates the overhead of staying up to date with all legislative and regulatory changes
- Translates legal requirements into actionable controls and policies
- De-duplicates the often overlapping requirements from different sources
The policies are available for free, to accelerate adoption and community feedback. Join this webinar to understand the current landscape in AI governance and understand what steps you can take to ensure compliance avoid legal, financial, and reputation risks.
FAQ
What is the purpose of an AI Policy Suite that unifies 70+ laws and standards?
It centralizes overlapping legal requirements—across federal, state, international, and industry frameworks—into a unified, actionable policy set, reducing manual tracking of updates and simplifying compliance.
Which regulations are typically included in such a unified policy framework?
A comprehensive suite may cover U.S. federal and state laws (like ADA, ACA Section 1557, California SB 942), global regulations (such as the EU AI Act, Canada’s AIDA), and industry frameworks (including NIST AI RMF, ISO standards).
How does a unified policy suite help with governance overhead?
By translating diverse legal and regulatory mandates into standardized internal controls, it minimizes duplication, streamlines policy management, and continuously updates with quarterly releases to stay current.
Is such a policy suite accessible to organizations at no cost?
Yes—the webinar highlights that the AI Policy Suite is available free of charge, aiming to promote broad adoption, ease compliance efforts, and encourage user feedback.
How can organizations integrate the policy suite into their AI governance processes?
They can begin by adopting the suite’s framework, mapping AI systems to applicable policies, integrating controls into workflows, piloting in priority areas, and harmonizing across legal, technical, and operational teams.
