Abstract: Beyond the buzz of AI, the field of Applied Behavior Analysis (ABA) finds itself at a pivotal juncture. Big data has long been integral to healthcare, while technology has bolstered training and decision-making. What sets this era apart? Three shifts have reshaped the landscape. First, exponential increases in computing power, coupled with cost reduction, has unlocked opportunities that make the advent of artificial BCBAs imminent, heralding a reimagination of Skinner's teaching machine. Second, progress in computer vision and wearable sensors allows for increasingly precise automated measurement of behavior and the environment in non-laboratory treatment settings. Third, increasing scrutiny of ABA practices and calls for proving ROI for services rendered. Accusations of abuse, inefficacy, and fraud cast shadows over the field, triggering intensified regulatory oversight. This panel delves into the impact of technology on clinical care in ABA. Experts explore how AI-powered tools and quantitative analyses are elevating clinical training, treatment planning, outcome monitoring, and decision-making. We scrutinize the benefits and liabilities of technology integration, ensuring that ethical, privacy, and regulatory considerations remain at the forefront. As behavior analysts navigate the intersection of advanced tools with ethical obligations, we discuss ways to harness technology's potential while preserving the human-centric insights of behavior analysis. |