The ISTQB CT-AI syllabus (Section4.3 -- Test Design for AI-Based Systems) highlights pairwise testing as an effectivetest-case reduction techniquefor systems with many input parameters. Lane-keeping assist systems typically include environmental, sensor, and vehicle-dynamic parameters, making exhaustive testing infeasible. Pairwise testing significantly reduces the number of test cases while still capturingall 2-way interactions, which are responsible for a large proportion of software defects.

OptionBaligns with this syllabus description: pairwise testing reduces otherwise extremely large parameter combinations, making test effort manageable.

Option A overstates feasibility guarantees; the syllabus never claims pairwise testing always makes testing ''typically feasible.'' Option C is unsupported and incorrect because pairwise testing doesnotrestrict parameters to driver-controlled ones. Option D is incorrect because, although some defects arise from higher-order interactions, pairwise testing captures many relevant defects and is widely recognized as a pragmatic compromise.

Thus,Option Bis the correct statement.