Acceptance Test-Driven Development is a methodology in software development that emphasizes the involvement of users, customers, and other stakeholders in the testing process. It involves writing acceptance tests before coding, which are then used as the primary criterion for software completeness and functionality. This approach is particularly applicable in AI software development, where the complex and unpredictable nature of artificial intelligence systems necessitates rigorous and comprehensive acceptance testing methods. These tests are critical in verifying that the AI performs as expected, and they encompass a wide range of procedures, from unit tests that check individual components to system-wide tests that evaluate overall performance.