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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you ensure knowledge sharing within your team?

704

How do you approach working with incomplete or ambiguous requirements?

849

What motivates you to work in the field of Generative AI?

840

This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.

1101

What is bias in AI systems? Provide some examples.

1

How do societal biases get reflected in AI models?

1

Explain the difference between data bias and algorithmic bias.

1

What techniques can be used to detect bias in AI systems?

1

How can datasets be made more representative to mitigate bias?

1

What is the significance of fairness in AI, and how do you define it?

1

Explain demographic parity and its importance in AI fairness.

1

What challenges do organizations face in implementing fairness in AI models?

1

Can AI systems ever be completely free of bias? Why or why not?

1

How does regular auditing of AI systems help reduce bias?

1

What do you understand by AI safety, and why is it critical?

1


Un-Answered Questions { Artificial Intelligence }

Explain supervised learning?

335


How can you reduce bias in a given data set?

360


Explain the difference between an analyst and a data scientist?

313


What is ‘tuning’ in ML?

100


What metrics are used to evaluate the quality of generative outputs?

42


How much data will you allocate for your training, validation and test sets?

64


What is the application of naive bayes naive in machine learning?

1


Explain what are some methods of reducing dimensionality?

67


Do you need a teacher to be a scientist?

333


What is bias in AI systems? Provide some examples.

1


What is the scope of data mining?

45


What are the benefits of robo-advisors in investment management?

74


What is the tfdbg tensorflow debugging?

3


What laptop should I buy for data science?

343


What do OLAP and OLTP stand for?

38