Artificial Intelligence (AI)

Artificial Intelligence (AI)

1. Basic concept of AI

   • Types of AI
     • Weak AI
     • Strong AI
   • Current examples of AI in the real world:
     • Virtual assistants (Siri, Alexa)
     • Facial recognition
     • Autonomous vehicles

2. Areas of AI Application

   • Medicine (image diagnostics, medical data analysis)
   • Transportation (self-driving cars, route optimization)
   • Economy (factory automation, financial algorithms)
   • Education (personalized tutoring, performance analysis)

3. Benefits of AI

   • Increased efficiency in problem-solving
   • Automation of repetitive tasks
   • Improvement in data-driven decision-making

4. Ethical Challenges of AI

   • Privacy:
     • Mass surveillance
     • Protection of personal data
   • Unemployment:
     • Impact of automation on the job market
   • Bias and discrimination:
     • Bias in algorithms
     • Discrimination based on gender, race, social class
   • Responsibility:
     • Who is accountable if AI makes a mistake?
     • Responsibility in automated decision-making

5. Regulations and Governance

   • Need for international regulatory frameworks
   • Current and proposed regulations
   • Agencies responsible for overseeing AI
   • Debates about limits in AI development

6. Future of AI

   • General AI: Risks and opportunities
   • Superintelligence: Is it possible? What are the implications?
   • Expected future developments in AI