Artificial Intelligence (AI)
Understanding the Future of Smart
Machines
Presented by: Ritika Routela
Date: 31 July 2025
Introduction
• What is Artificial Intelligence?
• - Simulation of human intelligence in
machines.
• - Performs tasks like learning, reasoning, and
problem-solving.
Types of AI
• - Narrow AI: Specialized in one task (e.g., voice
assistants)
• - General AI: Performs any intellectual task a
human can
• - Super AI: Hypothetical, surpasses human
intelligence
Applications of AI
• - Healthcare: Diagnosis, robotic surgery
• - Finance: Fraud detection, trading bots
• - Education: Personalized learning
• - Transportation: Self-driving cars
How AI Works
• - Machine Learning: Learning from data
• - Neural Networks: Mimicking the human
brain
• - Natural Language Processing: Understanding
language
Benefits of AI
• - Increased efficiency
• - Automation of repetitive tasks
• - Enhanced decision-making
• - 24/7 availability
Challenges and Concerns
• - Job displacement
• - Bias in algorithms
• - Privacy issues
• - Ethical dilemmas
Future of AI
• - Integration in daily life
• - Smarter personal assistants
• - AI in creativity and arts
• - Responsible and ethical AI development
Conclusion
• - AI is transforming industries and lifestyles.
• - Needs responsible use and continuous
oversight.
Q&A / Thank You
• Any Questions?
• Contact Info: ritika.routela@example.com
(optional)

Artificial_Intelligence_Presentation.pptx

  • 1.
    Artificial Intelligence (AI) Understandingthe Future of Smart Machines Presented by: Ritika Routela Date: 31 July 2025
  • 2.
    Introduction • What isArtificial Intelligence? • - Simulation of human intelligence in machines. • - Performs tasks like learning, reasoning, and problem-solving.
  • 3.
    Types of AI •- Narrow AI: Specialized in one task (e.g., voice assistants) • - General AI: Performs any intellectual task a human can • - Super AI: Hypothetical, surpasses human intelligence
  • 4.
    Applications of AI •- Healthcare: Diagnosis, robotic surgery • - Finance: Fraud detection, trading bots • - Education: Personalized learning • - Transportation: Self-driving cars
  • 5.
    How AI Works •- Machine Learning: Learning from data • - Neural Networks: Mimicking the human brain • - Natural Language Processing: Understanding language
  • 6.
    Benefits of AI •- Increased efficiency • - Automation of repetitive tasks • - Enhanced decision-making • - 24/7 availability
  • 7.
    Challenges and Concerns •- Job displacement • - Bias in algorithms • - Privacy issues • - Ethical dilemmas
  • 8.
    Future of AI •- Integration in daily life • - Smarter personal assistants • - AI in creativity and arts • - Responsible and ethical AI development
  • 9.
    Conclusion • - AIis transforming industries and lifestyles. • - Needs responsible use and continuous oversight.
  • 10.
    Q&A / ThankYou • Any Questions? • Contact Info: ritika.routela@example.com (optional)