4. Download two scientific peer-reviewed and published papers and discuss how the Markov chain has been applied in AI and the significance of the results.
5. Responsible AI has gain ground in so many sectors where it has been applied. Discuss the following key five dimensions that responsible AI applications consider. And provide examples of cases.
c. AI Governance.
d. AI Ethics and regulation.
e. AI Interpretability and explainability.
f. AI Robustness and security.
g. AI Bias and fairness.
Note: Providing examples to explain your point will earn more marks.

6.  
Discuss the following graph-like structures below and provide a case each for which they have been applied in AI models.
a. K-means
b. K-nearest neighbors
c. Decision trees
d. Random forests
e. Markov chains
f. Neural networks.

7.
Discuss the following possible classification of outcomes in an AI experiment and provide 2 scenarios each in which they are applied to the results of hospital diagnostics based on an AI-based system.
k. False Positive
l. True positive.
m. False-negative.
n. True negative.

8.
Discuss the 5 specific examples in which graph theory has been applied in artificial intelligence.
NB: You are encouraged to download peer-reviewed and published scientific papers to discuss the significance and applications of graph theory.

9.
Discuss the 5 specific examples of applications of fuzzy logic in artificial intelligence.
NB: You are encouraged to download peer-reviewed and published scientific papers to discuss the significance and applications of graph theory.

10.
Discuss the 5 specific examples of applications of neural networks in artificial intelligence.
NB: You are encouraged to download peer-reviewed and published scientific papers to discuss the significance and applications of graph theory.

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