Introduction to Artificial Intelligence (AI)

• Definition: AI is the science of making machines intelligent using algorithms.
• Purpose: Allows computers to solve problems that were traditionally solved by humans.

Applications of AI

• Everyday Uses:

  • Powers search engines.
  • Used in online shopping recommendations.
  • Functions in digital assistants.

• Healthcare:

  • Radiologists use AI to calculate the exact shape and volume of tumors, revolutionizing treatment.

• Astronomy:

  • AI helps find and evaluate exoplanets and distant solar systems.

• Traffic Management:

  • Assists motorists in discovering options to overturn parking fines.

• Broader Possibilities:

  • Applications in fraud prevention.
  • Development of strategies to address climate change.

Machine Learning

• Definition: A technique where AI analyzes vast amounts of data to learn and complete tasks.
• Limitations:
  • AI struggles with transferring learned knowledge between different tasks.
  • Lacks the ability to learn abstract concepts and engage in one-shot learning (generalizing from a single experience).

Impact on Employment

• Workplace Changes:
  • Roles will evolve as some tasks become automated.
  • New jobs will be created in response to AI advancements.
• Potential Risks:
  • Short-term increase in inequality if the impact of AI is uneven across different social groups.

Social Equality and Fairness

• Concerns:
  • AI systems can introduce bias, affecting social equality and fairness.
  • Impacts include job prospects and treatment in the justice system.
• Addressing Bias:
  • Technology can help manage bias, but societal questions need to be addressed regarding the use of AI.

Conclusion

• Power of AI:
  • AI has the potential to change the world.
• Societal Engagement:
  • Greater involvement in shaping AI's development can lead to a better and fairer future.