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10. is a powerful tool in helping make prompt decisions. Its "automated" decision-making means
that it is always correct, objective, and fair.
a. AI b. Machine learning
c. Computer Vision d. Internet of Things
B. Fill in the blanks.
1. data is difficult to process and analyse.
2. AI will definitely boost of routine, laborious, or human life-threatening work.
3. As Artificial Intelligence algorithms become more powerful, it also brings up some issues related to confidence in
its ability to make decisions that will benefit humanity.
4. Algorithms can have inherent because they are created by individuals with conscious or unconscious
preferences.
5. Humans and machines should work together to reduce .
C. State whether the following statement is True or False.
1. During the pandemic, most queries for admissions to colleges, opening new bank accounts,
and other customer care operations were routed through virtual personal assistants.
2. An inherent problem with AI systems is that they are as good or as bad as the trained data.
3. Structured data cannot be stored in a relational database management system (RDBMS), which
makes it difficult to process and analyze.
4. As Artificial Intelligence algorithms become more powerful, it also brings up some issues
related to confidence in its ability to make fair decisions that will benefit humanity.
5. Monotonous and repetitive jobs will never be automated.
SECTION B (Subjective Type Questions)
A. Short answer type questions.
1. Write any two ethical concerns of using AI.
Ans. AI Ethics is a part of ethical technology specific to robots and other artificially intelligent machines. Lack of trust and
disappearance of jobs are two major ethical concerns surrounding AI.
2. Why are AI algorithms biased?
Ans. Bias can sneak into AI algorithms in many ways. Even if sensitive variables such as gender or race are excluded,
the AI system will learn to make decisions based on training data, which may contain biased human decisions or
represent historical or social inequality.
3. How can we remove or minimize bias in AI?
Ans. Following are some of the ways through which we can reduce AI bias:
1. Establish processes to test for and diminish bias in AI systems.
2. Engage in fact-based conversations about potential biases in human decisions.
3. Adopt a multidisciplinary approach.
4. Invest more in AI bias research.
4. Give two examples where AI can help humans perform better at their jobs.
Ans. 1. Designer – AI can help to generate thousands of design options thereby boosting the designer’s creativity.
(Example Autodesk’s Dreamcatcher AI)
2. AI agents- It is just like Cortana, can facilitate communication between people or on behalf of people, such
as by transcribing meetings and distributing a voice-searchable version to those who could not participate
or attend.
206 Touchpad Artificial Intelligence (Ver. 2.0)-XI

