Weak & Strong Artificial Intelligence.

1. WEAK AND
STRONG AI
Mirza Jahanzeb Beg
Lovely Professional University

2.  Artificial Intelligence (AI) refers to the ability of machines to
simulate human intelligence and perform tasks that typically
require human intelligence.
 AI has become an important technology in many fields,
including healthcare, finance, manufacturing, and
transportation.
 There are two types of AI: weak AI and strong AI. Weak AI
refers to AI systems designed to perform specific tasks, while
strong AI refers to AI systems designed to be as intelligent as
humans and have the ability to reason, learn, and make
decisions like humans.

3. WEAK AI
 Weak AI, also known as narrow AI, is designed to perform
specific tasks and functions. These AI systems are usually
created to solve a particular problem and have limited
learning capabilities. Examples of weak AI applications
include voice assistants like Siri and Alexa, chatbots, and
recommendation systems. These systems are trained to
perform specific tasks and use pre-programmed rules and
algorithms to execute those tasks.
 Weak AI has already become an integral part of our daily
lives. For example, virtual assistants like Siri and Alexa use
natural language processing and machine learning
algorithms to understand and respond to our voice
commands. Recommendation systems like those used by
Netflix and Amazon analyze our viewing and purchase
histories to make personalized recommendations for movies
and products.

4. STRONG AI
 Strong AI, also known as general AI or artificial general
intelligence (AGI), is designed to be as intelligent as humans
and can reason, learn, and make decisions like humans.
These AI systems are built to handle complex and open-
ended problems, such as creativity and social interactions.
Examples of strong AI applications include self-driving cars
and humanoid robots.
 Strong AI is still a long way from being fully developed.
While there have been significant advances in the field of AI
in recent years, creating machines that are truly intelligent
remains a challenge. However, experts believe that strong AI
could have a major impact on society if and when it is
developed. For example, strong AI could be used to solve
complex problems in areas like healthcare, climate change,
and social inequality.

5. DIFFERENCES BETWEEN WEAK AND
STRONG AI - LEARNING
 Weak AI systems rely on pre-programmed rules and
algorithms to perform tasks, while strong AI systems have
the ability to learn and improve through experience. Strong
AI can recognize patterns, make inferences, and apply what
it has learned to new situations. For example, a self-driving
car equipped with strong AI can learn to recognize different
types of road signs and respond appropriately to them.
 Machine learning is a key component of strong AI. Machine
learning algorithms enable machines to learn from data and
improve their performance over time. Deep learning, a type
of machine learning that uses neural networks, has been
particularly successful in tasks like image and speech
recognition.

6. DIFFERENCES BETWEEN WEAK AND
STRONG AI - DECISION-MAKING
 Weak AI systems make decisions based on predefined rules
and data, while strong AI systems can reason and make
decisions autonomously, adapting to changing situations.
Strong AI can analyze data, weigh options, and make
decisions based on its knowledge and experience. For
example, a strong AI system designed to manage a power
grid can take into account weather forecasts, energy
demand, and other factors to make decisions about when to
turn on and off different power sources.
 To make autonomous decisions, strong AI systems need to
be equipped with advanced decision-making algorithms.
Reinforcement learning, a type of machine learning that
uses rewards to incentivize desirable behavior, has been
successful in creating agents that can make decisions in
complex environments.

7. DIFFERENCES BETWEEN WEAK AND
STRONG AI - FLEXIBILITY
 Weak AI systems have limited flexibility and can only
perform specific tasks. In contrast, strong AI systems can
adapt to new and complex tasks and situations. Strong AI
can learn new skills and apply them to different contexts,
whereas weak AI is designed to perform a specific task and
cannot adapt to new tasks without significant
reprogramming.
 To achieve flexibility, strong AI systems need to be able to
reason and understand context. Natural language
processing, a branch of AI that focuses on understanding
and generating human language, is an important tool for
creating flexible AI systems. By understanding natural
language, AI systems can better understand human
intentions and adapt to new situations.

8. CONCLUSION
 AI has the potential to revolutionize many industries and aspects
of society. Weak AI is already widely used in many applications
and is becoming an increasingly important part of our daily lives.
Strong AI, while still in its early stages of development, has the
potential to bring about significant advancements in areas like
healthcare, climate change, and social inequality.
 As we continue to develop AI, it is important to consider the
ethical implications of creating machines that can think and
make decisions autonomously. It is also important to ensure that
AI is used for the benefit of humanity and that its development is
guided by ethical principles. With responsible development and
use, AI can be a powerful tool for solving complex problems and
improving the world we live in.

9. THANK YOU