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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How can companies demonstrate transparency to regulators and stakeholders?

1

What are the penalties for non-compliance with AI regulations?

1

How do industry-specific regulations impact AI development?

1

What is the role of international standards in AI governance?

1

What are the societal implications of bias in AI systems?

1

How do biases in AI models amplify existing inequalities?

1

How can fairness in AI improve its societal acceptance?

1

Provide examples of industries where fairness in AI is particularly critical.

1

How would you address fairness in AI for multi-lingual or global applications?

1

Why is transparency important in AI development?

1

What techniques can improve the explainability of AI models?

1

How does SHAP (Shapley Additive Explanations) contribute to explainability?

1

Explain the concept of Local Interpretable Model-agnostic Explanations (LIME).

1

How can explainability improve decision-making in high-stakes AI applications?

1

What are the challenges of making deep learning models explainable?

1


Un-Answered Questions { Artificial Intelligence }

What are the products built using Tensorflow?

5


What are the societal benefits of explainable AI?

1


Why do we need generators in Python?

405


What are essential skills and training needed in data Science?

312


What is the main operation in tensorflow?

1


What are the different types of Machine Learning?

121


How does masking work in Transformer models?

713


What are standardization and normalisation?

101


What are the disadvantages of depth-first search algorithm?

1036


What are applications of expert system?

901


What is a Multi-Layer Perceptron (MLP)?

5


You have 2 dices. What is the probability of getting at least one 4? Also find out the probability of getting at least one 4 if you have n dices.

463


How will you deal with unbalanced data where the ratio of negative and positive is huge?

300


Explain the difference between supervised, unsupervised, and reinforcement learning.

59


How do you integrate Generative AI models with existing enterprise systems?

31