Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

What is in-processing bias mitigation, and how does it work?

How can post-processing techniques help ensure fairness in AI outputs?

What role does explainability play in mitigating bias?

How can feedback loops in AI systems reinforce or mitigate bias?

Explain the importance of inclusive design in reducing AI bias.

How would you handle bias when it is deeply embedded in the training data?

What are the key challenges in balancing accuracy and fairness in AI systems?

How do you measure fairness in an AI model?

Can bias ever be fully removed from AI systems? Why or why not?

What are the key AI regulations organizations need to follow?

How does regulation compliance enhance trust in AI systems?

What challenges arise when implementing AI governance frameworks?

How can AI developers stay updated on regulatory requirements?

Explain the importance of audit trails in AI regulation compliance.

What role do ethics boards play in AI governance?

Un-Answered Questions { Artificial Intelligence }

Explain machine learning in to a layperson?

What is the sigmoid function?

What is keras?

Why do we need generators in Python?

452

How will you test a machine learning model for accuracy?

319

What skills do I need to be a data scientist?

337

What are the different layers in CNN?

1408

What is need of principal component analysis?

426

What techniques can be used to make AI models more fair?

What is the difference between Stack and Queue

508

Why ensemble learning is used?

102

What is overfitting?

485

What is the use of gradient descent?

108

list the types of linked list with aid of diagram?

2687

Explain how to work with the data mining algorithms included in sql server data mining?

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