Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed social interactions, education, 
governance, and decision-making processes, while also introducing complex challenges relating to misinformation, 
algorithmic bias, inequality, and digital participation. This study examines the relationship between AI literacy and 
civic resilience by exploring curriculum models and evaluation approaches that prepare learners to engage 
responsibly with AI-driven societies. AI literacy is conceptualized as the combination of knowledge, skills, and 
dispositions required understanding, using, and critically evaluating AI systems, while civic resilience refers to the 
capacity of individuals and communities to participate effectively in democratic processes through informed decision
making and ethical engagement. The study reviews key curriculum models, including inquiry-based, competency
based, interdisciplinary, and culturally responsive approaches, highlighting their potential to develop critical 
thinking, creativity, ethical reasoning, collaboration, and digital citizenship. It further examines evaluation 
frameworks that incorporate formative and summative assessments, outcome measurement, validity, reliability, 
equity considerations, and data-informed program improvement. The paper also discusses implementation factors 
such as policy alignment, teacher professional development, resource accessibility, and the ethical, legal, and social 
implications of AI integration in education. Findings indicate that effective AI literacy education requires a shift 
from purely technical instruction toward holistic approaches that connect technological understanding with civic 
responsibility. Integrating AI literacy with civic resilience can empower learners to navigate digital environments, 
challenge algorithmic inequalities, participate in democratic discourse, and contribute to inclusive and responsible 
technological development.