COMPLIANCE CORNER - AUGUST 2026

AI Ethics and Compliance in Construction

The defining corporate compliance challenge of 2026 is no longer just deciding whether to adopt Artificial Intelligence, but rather figuring out how to govern it responsibly. As enterprise-wide deployment of generative AI and autonomous workflows becomes standard, a major shift has emerged: AI explainability and algorithmic accountability. Regulators are moving past high-level ethical statements and demanding that organizations explain exactly how their algorithms make decisions. Bringing algorithms onto the job site requires strict ethical and compliance guardrails to prevent legal, financial, and operational fallout.

Although not effective until 2027, New York’s Responsible AI Safety and Education (RAISE) Act will demand extensive safety reporting from developers of frontier models beginning 2027. Contractors utilizing high-risk AI software for structural calculations, autonomous heavy machinery, or complex project bidding must adapt to stricter software procurement. Because the RAISE Act forces large AI developers to publish safety protocols and log model lifecycles, contractors will have access to greater algorithmic transparency. In turn, general contractors must establish rigorous vendor vetting frameworks to audit these newly mandated safety reports before deploying advanced tech on-site.

Contractors must implement three foundational pillars:

• Strict Data Governance: Project blueprints, proprietary bidding models, and client data must be protected. Standard contracts must explicitly prohibit software vendors from using a contractor’s private data to train public AI models.
• Human-in-the-Loop Oversight: AI-driven computer vision tools can track site safety and PPE compliance, but algorithms are prone to errors. Human safety officers must verify every algorithmic flag before issuing fines or reprimands.
• Elimination of Shadow AI: Field teams often deploy unauthorized apps to solve immediate site issues. Contractors need to enforce strict device policies, blocking unvetted software while providing secure, approved AI tools.

Ultimately, AI is a powerful tool, but it cannot replace human accountability. By establishing clear policies, contractors protect their intellectual property, ensure fair worker treatment, and mitigate the risks of a rapidly automating industry.