WORKSHEET-2
QUESTION1. What is Data Science?
Answer: Data science is a term that is used for referring to different related sub-disciplines. These sub disciplines include machine learning, stastics, data storage, web development, etc.
QUESTION2. Write a short note on situation Awareness of the AI systems.
Answer :- Situational awareness can be defined simply as “knowing what is going on around us”, or – more technically – as “the perception of the elements in the
environment within a volume of time and space, the comprehension of their meaning and the projection of their status in the near future”
Achieving situational awareness relies on your ability to see, understand and analyze the world around you in the context of what you are trying to do.
QUESTION3. Define the term Computer Vision.
Answer: It is a technology that is used for making machines see and perceive the human world as human beings do.
QUESTION4. What are the privacy concerns of AI systems?
Contact list :- All of the numbers on our phone along with the names. Google knows who are our favourite and whom we call the most.
Location :- Google access through our location via GPS, and knows where we often visit.
E-mail:- The complete list of all the mails sent and received by us.
Hangout:- All of our chat record.
Photos:- All our images, linked with contact list.
QUESTION5. What is black box?
A ‘black box’ is a device, system or program that allows you to see the input and output, but gives no view of the processes and workings between. The AI black box, then, refers to the fact that with most AI-based tools, we don’t know how they do what they do.
QUESTION6. Give two examples of AI automation changing our lives.
a) Smart Cars and Drones
Talking about the AI, there is no better and more prominent display of this technology than what smart car and drone manufacturers are doing with it. Just a few years back, using a fully automatic car was a dream, however, now companies like Tesla have made so much progress that we already have a fleet of semi-automatic cars on the road.
Banking and Finance:- the banking and finance industry heavily relies on artificial intelligence for things like customer service, fraud protection, investment, and more. A simple example is the automated emails that you receive from banks whenever you do an out of the ordinary transaction.
QUESTION7. Discuss the use of AI in Healthcare.
AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. ... Also, AI can help make healthcare more predictive and proactive by analyzing big data to develop improved preventive care recommendations for patients.
QUESTION8. What are the challenges of AI in healthcare?
Answer:- Patient privacy and the ethics of data ownership – accessing personal medical records is strictly protected. In recent years data sharing between hospitals and AI companies has generated controversy.
Quality and usability of data – in other industries, vast amounts of data is generally reliable and accurately measured – e.g. aircraft engine sensors or car location and velocity data to predict highway traffic.
QUESTION9. Discuss the use of AI in banking and finance.
Answer: BANKING: Artificial Intelligence enables banks to manage record-level high-speed data to receive valuable insights. Moreover, features such as digital payments, AI bots, and biometric fraud detection systems further lead to high-quality services for a broader customer base.
FINANCE: Artificial intelligence can free up personnel, improve security measures and ensure that the business is moving in the right technology-advanced, innovative direction
QUESTION10. Give two examples of how Artificial Intelligence can change the Healthcare industry in the coming future.
Answer:- *Radiology - AI solutions are being developed to automate image analysis and diagnosis. This can help highlight areas of interest on a scan to a radiologist, to drive efficiency and reduce human error.
*Drug Discovery - AI solutions are being developed to identify new potential therapies from vast databases of information on existing medicines, which could be redesigned to target critical threats such as the Ebola virus.
