Dr. Eduardo Smith Singares explored knowledge engineering in clinical AI, addressing data complexity, black-box model limits, and the need for domain expertise. He highlighted explainable AI via rule-based and neuro-symbolic systems, with examples like MYCIN and Circlage, stressing safety, ethics, and oversight.