What is AI? Artificial Intelligence (AI) simulates human intelligence in machines. Applications: - Learning - Reasoning - Problem-solving - Perception - Natural Language Processing
History of AI • 1950s: Alan Turing’s ideas • 1956: Term 'AI' introduced • 1980s: Expert Systems • 2000s+: Machine Learning & Deep Learning
Types of AI 1. Narrow AI – Specialized tasks 2. General AI – Human-like intelligence 3. Superintelligent AI – Beyond human capabilities
Applications of AI • Healthcare (diagnosis, drug discovery) • Finance (fraud detection, trading) • Transportation (autonomous vehicles) • Education (personalized learning) • Entertainment (recommendation systems)
Advantages of AI • Reduces human error • Works 24x7 • Assists in repetitive tasks • Faster decision-making • Improves efficiency
Challenges of AI • High cost of implementation • Lack of creativity • Job displacement • Data privacy issues • Ethical dilemmas
Future of AI • Smarter autonomous systems • AI in all sectors • Human-AI collaboration • Ethical AI development • Potential superintelligence
AI in Daily Life • Virtual assistants (Siri, Alexa) • Online recommendations • Spam filters • Maps & navigation • Smart home devices
Conclusion Artificial Intelligence is reshaping the world. If used responsibly, AI can drive progress while addressing challenges for a safe, ethical future.