Thursday Plenary: Opportunities and Challenges of AI for the Field of SBCC

*Morning Plenary: Opportunities and Challenges of AI for the Field of SBCC* How is artificial intelligence reshaping the practice—and possibilities—of social and behavior change communication? This plenary session from the 2026 International Social and Behavior Change Communication (SBCC) Summit explores the opportunities and risks that artificial intelligence presents for the field. As AI tools become increasingly integrated into communication and public health practice, SBCC professionals are grappling with how to harness innovation while ensuring that approaches remain ethical, equitable, and grounded in local realities. Speakers examine how AI can enhance program design, implementation, audience engagement, and learning, while also addressing critical questions related to bias, equity, cultural relevance, data sovereignty, and accountability. The discussion explores how SBCC practitioners can leverage emerging technologies while building trust, amplifying local voices, and promoting more equitable social change. *Moderator:* • Fatimah Abubakar Alkali, Nigerian Strategic Communications Leader *Speakers:* • Oluseun Onigbinde, Global Director, BudgIT Foundation, Nigeria • Anneka Wickramanayake, Director of Research, Evaluation and Design, Jacaranda Health • Dino Rech, CEO, Audere (Equitable Care Worldwide) The 2026 International SBCC Summit brings together practitioners, researchers, policymakers, advocates, and community leaders from around the world to explore innovative approaches to social and behavior change in an increasingly complex global landscape. *Language Options* This video is available in English, Español, Français, and Português. To switch languages, click the *Settings* ⚙️ icon in the video player, select **Audio track**, and choose your preferred language. #SBCC2026 #AI #ArtificialIntelligence #SBCC #SocialChange #BehaviorChange #GlobalHealth #PublicHealth #DigitalHealth #HealthCommunication #CommunicationForChange #EthicalAI