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2. AI refers to the ability of machines to
perform tasks that normally require
human intelligence, such as:
Learning
Problem-solving
Decision-making
Language Understanding.
Introduction
2
3. TABLE OF CONTENTS
01 Introduction
02 History of AI
03 Classification of AI
04 Application of AI
05 Advantage of AI
06 Challenges of AI
07 Future of AI
08 Conclusion
3
4. OUR TEAM
Shahria Ahsan Taisiq
Md. Jahid Hassan
Student ID: 201002396
Department of CSE
Green University of Bangladesh
Student ID: 201002463
Department of CSE
Green University of Bangladesh
4
5. Hisotory of AI
1950
The first AI
program is
created by
Alan Turing
Machine learning
techniques
become widely
used in AI
1980
1990
AI experiences
a resurgence
with the advent
of the Internet
AI becomes
more widely
adopted in
various
industries
2010
2020
AI becomes
increasingly
sophisticated and
able to perform a
wider range of
tasks
5
9. Challenges of AI
Unfairly discriminate against
people
Automate biased choices.
Unethically collect and handle
personal data
Replace labor.
Influence opinion
Vulnerable groups
Difficult to develop
Attackable
Hard to understand.
Ethical Social Technical
9
10. Future of AI
• Job Displacement of certain roles
• Increased safety and efficiency
• Automation of routine tasks
• Improved access to healthcare
• Improved communication
• Increased productivity and efficiency
• New job opportunities
• Reduced costs
• Increased global competition
• Increased demand for AI-related skills
Impact on Society Impact on the Economy
10
11. Conclusion
we discussed the basics of Artificial
Intelligence, its history and development,
current applications, and potential future
applications.
We addressed AI ethics and how to handle
them.
Finally, we looked at the importance of AI
education and how it can help to unlock the
potential of AI in the future.
11
1. Narrow AI: Narrow AI is a type of Artificial Intelligence that is designed to perform specific tasks and is trained to do so. It does not possess the capability to think for itself or reason through problems. Examples include facial recognition, natural language processing, and robotics.
2. General AI: General AI is a type of Artificial Intelligence that is capable of learning and reasoning in a wide variety of contexts. It can think for itself and solve problems independently. Examples include autonomous vehicles and virtual personal assistants.
3. Supervised AI: Supervised AI is a type of Artificial Intelligence that is trained with labeled data. It is given a set of labeled examples and learns to recognize patterns in the data. Examples include image recognition and voice recognition.
3. Reactive AI: AI systems that are designed to react to a particular situation, but are not capable of forming memories or using past experiences to inform their decisions.
4. Cognitive AI: AI systems that are designed to interact with the environment and use past experiences to inform their decisions.
Ethical Challenges
• AI systems can be used to unfairly discriminate against people, either consciously or unconsciously.
• AI systems can be used to automate decisions that are based on biased or incomplete data sets, leading to unfair outcomes.
• AI systems can be used to collect and process personal data in an unethical way, violating privacy rights.
Social Challenges
• AI systems can be used to replace human labor, leading to job displacement and income inequality.
• AI systems can be used to manipulate public opinion, leading to increased social unrest and polarization.
• AI systems can be used to target vulnerable populations, leading to exploitation and harm.
Technical Challenges
• AI systems are difficult to develop, and require significant time and resources to maintain.
• AI systems can be vulnerable to attack, leading to data breaches and other security issues.
• AI systems can be difficult to interpret and explain, leading to a lack of transparency and accountability.
Slide 1: The Future of Artificial Intelligence
Slide 2: Impact on Society
• Job Displacement of certain roles
• Increased safety and efficiency
• Automation of routine tasks
• Improved access to healthcare
• Improved communication
Slide 3: Impact on the Economy
• Increased productivity and efficiency
• New job opportunities
• Reduced costs
• Increased global competition
• Increased demand for AI-related skills
Slide 4: Conclusion
The future of AI is uncertain, but it has the potential to revolutionize industries, create jobs, and increase productivity. The impact of AI on society and the economy will depend on how we plan for and use AI responsibly.
