SB2255 creates the Surveillance-Based Price and Wage Discrimination Act, a new Illinois law aimed at limiting the use of surveillance data in automated decision-making. The bill prohibits a person from using surveillance data to set individualized prices for goods or services or to determine individualized wages for employees. It defines key terms broadly, including automated decision systems, surveillance data, personal characteristics, behaviors, biometric information, price, wage, consumer, and employee.
The bill includes several exceptions. For pricing, it does not apply where price differences reflect the actual cost of providing the good or service, or in certain insurance and credit-related decisions that comply with existing state and federal law. For wages, it allows individualized wages based on data directly related to the employee’s tasks or the cost of providing labor, and it requires advance disclosure and reasonable accuracy procedures when wages are set in whole or in part through automated decision-making. It also excludes decisions not to hire someone who has never been employed by the person making the decision.
Impact
If enacted, the bill would add a new regulatory framework governing how businesses and employers use data-driven systems in pricing and compensation decisions. It would create new compliance obligations for companies using artificial intelligence, machine learning, or other automated tools that rely on surveillance-derived data, while preserving certain insurance and credit-reporting practices. The Attorney General would be responsible for enforcement, and affected individuals would also have a private right of action with statutory damages, attorney’s fees, and civil penalties of up to $10,000 per violation.
Sentiment
Based on the bill text and the absence of recorded committee debate or votes, the overall sentiment appears to be precautionary and consumer- and worker-protective. The measure is framed as a response to concerns about surveillance, algorithmic discrimination, and opaque automated decision-making in the marketplace and workplace. Because there is no transcript or voting history provided, there is no documented opposition or support to characterize legislative sentiment beyond the bill’s protective intent.
Contention
The main points of potential contention are the breadth of the definitions and the limits placed on algorithmic pricing and wage-setting. Businesses may view the restrictions as burdensome, especially where automated systems use large sets of behavioral or biometric data to optimize prices or compensation. Another likely area of debate is the scope of the exceptions, particularly for insurers, credit decisions, and wage-setting based on task-related data or labor costs. The private right of action, statutory damages, and per-violation penalties may also be contested by industry stakeholders concerned about litigation exposure.