EVALUATION OF
ARTIFICIAL
INTELLIGENCE
Presented to: MD.Golam Rabby
Lecturer ,department of CSE
Daffodil International University
Presented by:
PACK OF PIONEERS
Habibur Rahman Badol
NAME:
Monirul Islam
ID:0242310005101331
ID:0242310005101022
NAME:
NAME:
MD.Mainul Hasan
Kawser Ahamed Ayon
NAME:
Sri Arup Roy
ID:0242310005101403
ID:0242220005101252
NAME:
ID:0242310005101021
CONTENTS:
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What is evaluation in AI?
Why is evaluation important in AI?
Examples of AI systems.
Applications of AI evaluation.
Best practices for evaluating AI systems.
Conclusion.
What is evaluation in AI?
Evaluation in AI is the process of assessing the performance of an AI
system. It is an important step in the development and deployment of AI
systems, as it helps to ensure that the system is meeting its intended
purpose and is not causing unintended harm.
Why is evaluation important in AI?
AI systems are often complex and can make decisions that are difficult or
impossible for humans to understand. This makes it important to evaluate
AI systems to ensure that they are behaving as expected and are not
making harmful decisions.
Examples of AI systems :
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Self-driving cars
Medical diagnosis systems
Fraud detection systems
Natural language processing systems
Image recognition systems
Different approaches to AI
evaluation:
 Explainability: Can the AI system explain its decisions in a way that
humans can understand?
 Fairness: Is the AI system free from bias?
 Robustness: Can the AI system perform well in unexpected or
adversarial situations?
 Safety: Is the AI system safe to use in the intended context?
Best practices for evaluating AI
systems:
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Use a variety of evaluation methods
Use a representative dataset
Consider the specific tasks that the AI system is designed to perform
Monitor the performance of AI systems in the real world
Conclusion:
Evaluation is an essential step in the development and deployment of AI
systems. By carefully evaluating AI systems, we can ensure that they are
safe, reliable, and beneficial to society.