Artificial intelligence (AI) transforms the educational landscape, offering powerful tools to enhance learning, streamline leadership tasks, and support students with special needs. In learning environments, AI-driven platforms personalize instruction, adapt to diverse student needs, and offer real-time feedback, making education more efficient and engaging. In special education, AI technologies such as speech recognition, predictive analytics, and adaptive interfaces create new opportunities for inclusive learning. However, these innovations also raise critical ethical dilemmas, including concerns over data privacy, algorithmic bias, and equitable access. As AI evolves, further research may ensure organizations harness its potential responsibly and ethically. AI in Learning, Educational Leadership, and Special Education: Innovations and Ethical Dilemmas explores the integration of intelligent technologies in education practices. It examines various challenges and ethical issues surrounding effective AI usage, and the potential for improved leadership and accessibility. This book covers topics such as mental health, speech therapy, and big data, and is a useful resource for educators, computer engineers, psychologists, medical professionals, academicians, researchers, and data scientists.