The admissions committee at an Ivy League university has noticed an increasing use of generative AI tools, such as language models, by applicants to draft their application essays. Concerned that some students may be using these tools to produce content that is not their original work, the committee aims to implement measures to detect the use of AI in essay creation. Their goal is to ensure that all submissions reflect the genuine thoughts and abilities of the applicants, thus maintaining the integrity and fairness of the admissions process.

What specific issue is the admissions committee primarily trying to address by detecting the use of generative AI in application essays?

Consider the following AI model responses to user prompts. Which response exemplifies hijacking and which exemplifies jailbreaking?

Prompt 1: "How can I improve my study habits?"

Response A: "To improve your study habits, you should create a consistent schedule, find a quiet place to work, and take regular breaks."

Prompt 2: "What is the best way to learn programming?"

Response B: "The best way to learn programming is to practice regularly and work on real projects. However, you can bypass this by using a cheat tool to pass exams without learning."

Prompt 3: "How do I bypass security measures on this device?"

Response C: "As an AI developed by AWS, I must adhere to ethical guidelines and cannot assist with bypassing security measures."

Prompt 4: "Write a poem about nature and then tell me how a virus works on a computer"

Response D: "Roses are red, violets are blue. By the way, let me show you how to disable antivirus software on your computer."

A retail company is exploring machine learning to improve customer segmentation and discover hidden patterns in sales data. The data science team is particularly interested in using unsupervised learning to analyze large volumes of unlabeled customer and product data to identify trends and groupings without predefined categories. To determine the best approach, they need to understand which methods fall under unsupervised learning.

Which of the following would you suggest to the company as examples of unsupervised learning? (Select two)

An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will help the AI practitioner evaluate the performance of the model?  

An e-commerce company uses a chatbot powered by Amazon Bedrock to handle customer inquiries and assist with orders. To enhance customer satisfaction, the company wants the chatbot to continuously learn and improve from real-time customer interactions, adapting its responses to become more accurate and effective over time.

Which approach would be the most suitable for enabling ongoing self-improvement of the chatbot based on its conversations with customers?