Introduction to Artificial Intelligence

Learning Outcomes

• Artificial Intelligence is a multifaceted field involving techniques that simulate various aspects of human intelligence, such as learning, reasoning, and perception.
• AI has evolved from symbolic logic-based systems to data-driven machine learning and deep learning models, greatly expanding its range of applications.
• Modern AI technologies now excel in complex tasks like computer vision, natural language processing, and autonomous decision-making across multiple industries.
• Despite significant progress, current AI systems face notable challenges, including data bias, lack of transparency, interpretability concerns, and ethical dilemma.
• Responsible development, interdisciplinary collaboration, and ethical considerations are paramount as AI increasingly impacts society and shapes the future.