A Brief Introduction to Artificial Intelligence

Introduction

• Presenter: Dibbyo Saha, Undergraduate Student, Computer Science, Ryerson University

What is Artificial Intelligence (AI)?

• AI is a computing concept enabling machines to think and solve complex problems like humans.
• AI learns from mistakes and improves itself, similar to learning from chess moves.

AI vs Traditional Robotics

• Traditional robots are programmed for specific tasks without creative thinking.
• AI can simulate human-like problem-solving and intuition lacking in traditional robots.
• Example: Self-driving cars using AI can adapt routes based on traffic, unlike traditional robots.

Brief History of AI

• 1950: Alan Turing's Turing test.
• 1960s: Creation of ELIZA, the first chatbot.
• 1977: IBM's Deep Blue beats a world chess champion.
• 2011: Apple's Siri launched as a digital assistant.
• 2015: Founding of OpenAI by Elon Musk and others.

AI, Machine Learning, and Deep Learning

• Machine Learning (ML): Computers learn to improve predictions using algorithms.
  • Supervised Learning: Uses labeled data to train machines.
  • Unsupervised Learning: Machines analyze unlabeled data for pattern recognition.
  • Reinforcement Learning: Feedback-based learning for self-improvement.
• Deep Learning: Uses neural networks for human-like thinking, requiring vast data and computing power.

AI at Work Today

• Examples include smart assistants (Siri, Alexa) and Netflix recommendation algorithms.
• AI is used for cybersecurity, unauthorized credit card detection, and self-driving car development.

Concerns about AI

• Job losses due to automation, predicted loss of 85 million jobs by 2025.
• Concerns over AI developing biases and automation of weapons.
• Myths about AI becoming super-intelligent and taking over.

AI and The Future

• AI is pivotal in healthcare for disease research, genetic data analysis, and personalized education.
• AI is expected to create more jobs, redefine existing ones, and foster new businesses.
• Potential applications in transportation include self-driving cars and drones.

Conclusion

• AI's growth is exponential and will significantly impact the future.
• Importance of acquiring AI-related skills to adapt to this changing world.

References

• Alan Turing at 100
• IBM Deep Blue
• Siri and Digital Assistants
• OpenAI Introduction
• AI and Job Losses