3 Types of AI based on its capability
1) Narrow AI (Weak AI):
This type of AI is designed to perform a specific task and lacks the ability to learn or generalize to other tasks. Examples include facial recognition software, virtual assistants (like Siri or Alexa), and spam filters.
Machine learning, Traditional AI and Generative AI comes under Weak AI
2) General AI (Artificial General Intelligence, AGI):
AGI aims to mimic human-level intelligence, meaning it can understand, learn, and perform any intellectual task that a human being can. This is a theoretical concept that is currently not yet fully realized.
Key Characteristics of AGI
• Versatility: AGI can handle multiple tasks across different domains without needing to be retrained for each one. For example, it could play chess, compose music, conduct scientific research, and interpret human emotions—all with the same underlying intelligence.
• Adaptability and Self-Improvement: AGI systems can learn from past experiences and apply that knowledge to unfamiliar scenarios, enabling them to navigate and solve complex challenges efficiently.
Example: IBM Watson: Multidomain Reasoning IBM's Watson gained prominence by winning the quiz show Jeopardy!, showcasing its ability to process and understand natural language. Beyond entertainment, Watson has been applied in healthcare, where it analyzes vast datasets, including medical records and research papers, to assist doctors in diagnosing diseases and suggesting treatment plans.
3) Super AI (Artificial Superintelligence, ASI):
ASI represents AI that surpasses human intelligence in all aspects. This is also a theoretical concept and a potential future development.
• ASI could solve complex problems, make predictions with high accuracy, and understand intricate systems better than any human expert.
• ASI would autonomously enhance its own algorithms and knowledge base, leading to rapid and continuous improvement.
• ASI would understand and interpret human emotions, social cues, and cultural contexts, enabling it to interact seamlessly with humans.
• ASI would have virtually unlimited memory and processing capabilities, allowing it to analyze vast amounts of data and perform complex computations at unprecedented speeds.
The Dark Side of AI:
• AI bias: Algorithms trained on biased data reproduce it.
• Deepfakes: Fakes that are so real, they fool experts.
• Job displacement: Automation in factories, call centers, even journalism.
Questions:
Who owns AI-generated content?
Should AI be allowed to make decisions in war?
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